OceanBase
A Cost Effective, Ultra Fast, Highly
Scalable Distributed Relational Database
- Why Distributed Databases
- What is OceanBase
- Key Competitiveness
- OceanBase Cloud
- Solutions
- Case Studies
TABLE OF
CONTENTS
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Why Distributed Databases
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What is OceanBase
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Key Competitiveness
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Data Consistency, High Availability, and Flexible Scalability
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HTAP Capability
��
Unified Architecture
Highly Compatible
Advanced Compression Technology
Native Multitenancy
��
OceanBase Cloud
��
��
��
��
Solutions
��
��
Scalable OLTP
��
Database Consolidation
��
Real-time Analytics
Multi-cloud Architecture
��
��
Key Features
Available Zones
��
��
Case Studies
��
��
��
GCash
��
DANA
��
Ctrip
Industrial and Commercial Bank of China
Cainiao
Ziel Home
��
��
��
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Why Distributed Databases
Data Management Has Become Increasingly Complex due to Explosive Data Growth
The development of cutting-edge technologies, such as cloud computing, Internet, artificial intelligence,
Internet of Things, and blockchain, has spawned novel software and hardware products in various
industries, leading to explosive data growth. Meanwhile, the mining and application of the value of
massive data are becoming the main forces that drive innovation, and the complexity of data computing
has increased significantly.
Number of Terminals Connected to Internet Worldwide
Unit: Billion
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Global CAGR: ��.�%
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*Data source: Gartner
Challenges to Conventional DBMS in the Big Data Era
Performance bottleneck
Facing the business-driven growth in the data scale, conventional databases are incompetent in maintaining
their performance, while the performance of distributed databases can be scaled indefinitely.
Insufficient analytical capabilities
Conventional database solutions require separate analytical systems, which leads to data redundancy
and latency. Distributed databases support hybrid transaction and analytical processing (HTAP), which
significantly improves analytical efficiency and reduces data redundancy.
Total Cost of Ownership (TCO) is high
Monolithic database systems are difficult to scale out and have to be designed per the maximum business
traffic. Reliability comes at a high cost through over provisioning. However, a native distributed
architecture supports flexible scaling and achieves high availability at a low cost.
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Why Distributed Databases
Distributed Database Adoption around the World
A research by International Data Corporation (IDC) shows that about ��.�% of the enterprise customers
interviewed have deployed distributed databases. Among them, more than ��% express positive
attitude toward distributed databases, in which about ��% have seen significant improvement in the
database performance and are either satisfied or very satisfied with the distributed database systems.
The figure below describes the reasons why the interviewed enterprises prefer distributed databases
to conventional mololithic databases.
Cloud and distributed architecture is the future and require planned
strategic investment and require strategic investment in advance.
��%
To improve the stability and availability of the database system.
��%
To reduce hardware cost, thus bringing down the total cost of
database system. To flexibly scale out/in hardware resources for
better price-performance ratio.
��%
Conventional databases cannot meet the high concurrency requirement
in the age of digital mobility and smart devices.
Conventional databases cannot efficiently manage massive and rapid
growing data.
��%
��%
In Other Vendors to Consider for Operational DBMSs published in ����, Gartner pointed out that
distributed architecture was the future of database technology. A distributed architecture significantly
improves the database capacity to store and manage massive data, well handles highly concurrent user
requests, and provides automatic scaling in response to business fluctuations at much lower costs in
comparison to a conventional database.
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What is OceanBase
OceanBase is a highly cost effective, high performance, scalable native distributed relational database,
���% independently developed by Ant Group. It has been supporting Alibaba and key e-commerce
events such as Double �� over the past years, and has been widely deployed in core systems among
customers in various industries. OceanBase supports deployment model includes on-premise, cloud
SaaS and multi-cloud, hybrid model, and can handle Hybrid Transactional/Analytical Processing
(HTAP) with one database engine. OceanBase Database has been listed in "The Translytical Data
Platforms Landscape, Q� ����", a report released by Forrester, which demonstrates OceanBase's
analytical capabilities on top of strong OLTP.
OceanBase is highly compatible with both Oracle DB and MySQL DB, users can easily migrate from
conventional databases to OceanBase.
World #�
�� Years
The only distributed database that tops
Supporting Double Evelen Shopping Festival
TPC-H record.
time.
TPC-C benchmark test and breaks the
��� +
for �� years, with ��� million QPS at peak
Serving over ��� customers and partners
from various industries across the globe.
��
What is OceanBase
Why OceanBase?
The enterprise-ready distributed SQL database has been supporting the Double ��, which is the
world's biggest online shopping event with �� million QPS at peak time and over ��,��� nodes. It
is designed to deliver ultra-fast performance, elastic scalability, and cost-effectiveness for your
transactional and operational analytics workloads.
Cost Effectiveness
High compression technology saves ��%-��% storage space without compromising performance.
Multi-tenancy achieves higher resource utilization.
Ultra-fast Performance
Supporting the Double �� with �� million QPS at peak time. Ranking No.� in TPC-C benchmark test at
��� million tmpC.
Scalable OLTP
An OceanBase cluster can be scaled out to �,��� nodes transparently, handling petabytes of data and
a trillion rows of records.
Oracle/MySQL Compatible
OceanBase is highly compatible with Oracle/MySQL, which ensures that zero or few modification is
needed for migration.
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Key Competitiveness
As a native distributed database, OceanBase Database adopts a unified architecture that supports both
distributed and monolithic mode. It has achieved significant breakthroughs in many aspects, such as
automatic scaling, high availability, disaster recovery, storage engine, distributed transaction processing,
HTAP, compatibility with mainstream databases, and multitenancy. OceanBase database has been
operating in complex and demanding sectors such as financial core systems, as well as massive user
traffic during ��.�� eCommerce festival.
Native Distributed Architecture Ensures Data Consistency, High Availability, and
Flexible Scalability
Instead of using SAN storage devices that require a dedicated network, OceanBase Database can
be deployed in a shared-nothing cluster based on commodity servers and data center network. An
OceanBase cluster automatically manages the allocation and dynamic balancing of computing and
storage resources and supports automatic scale-out or scale-up with linearly improved read and write
performance. SQL execution and data storage are supported on all service nodes, and partition replicas
are autonomously managed by each node. The cluster runs only one type of database service processes,
without depending on external services, which ensures easy Operation & Maintenance (O&M) management.
OceanBase Database provides unified database services to applications, supports ACID and global indexes.
This means it performs as a standalone system in application development.
Strong Data Consistency
OceanBase Database provides a variety of built-in mechanisms for strong consistency verification.
These mechanisms guarantee data reliability by automatically identifying errors, such as inter-replica
data inconsistencies, network errors, silent data corruption, and table-index inconsistencies.
System High Availability
OceanBase Database has strong disaster recovery capabilities. Exceptions in the same IDC or interruptions
across IDCs do not cause data loss or service downtime.
Transparent Scalability
An OceanBase cluster can be scaled out to include thousands of nodes, with automatic load balancing
mechanisms. The process of scaling is transparent to applications.
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Key Competitiveness
The Unified Architecture Adapts to Business Growing Stages
OceanBase Database adopts a unified architecture. When deployed in monilithic mode, it delivers
nearly the same performance as conventional monolithic databases. When deployed with three
replicas, it provides higher availability than a conventional database that delivers the same performance
in the primary/standby mode. OceanBase Database supports linear vertical scaling by increasing the node
specification and linear horizontal scaling by deploying more nodes in a zone.
Such a unified architecture allows OceanBase Database to grow with business growth and be adaptable
to the needs of different customers, including small personal sites, core banking systems, and giant
e-commerce platforms.
Business
Scale
Small Business
States
Singapore United
Low-spec
Server
OceanBase
OB
Indonesia
Medium
Business
High-spec
Server
OB
Core Business
Large Business
High-spec
Server
High-spec
Server
OB
OB
High-spec
Server
OB
OB
OB
OB
OB
OB
OB
OB
OB
OB
OB
OB
OB
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Key Competitiveness
HTAP Capability: A Unified Engine for Both OLTP and OLAP Workloads
HTAP is a highly expected database capability. With its distributed architecture, OceanBase Database
has strong transaction processing capability while handling analytical tasks such as data analysis and
batch processing. OLAP and OLTP are supported by the same set of engine, which reduces the costs
significantly.
Thanks to the native distributed technology, OceanBase Database provides high-performance OLTP
capabilities. It integrates both transaction processing and real-time data analytics capabilities in one
system, which means that the same set of data can be used for different tasks. By doing so, it guarantees
data consistency, minimizes data redundancy, and significantly reduces the total O&M costs for enterprises.
Separated Systems:
High Workload
HTAP Engine:
Hybrid Workload in One System
Step �: OLTP Requests
Async
Transfer
Step �: OLAP Requests
OceanBase Cluster
OLTP Requests
+
OLTP Requests
To meet HTAP requirements, OceanBase Database also provides various resource isolation methods,
such as physical isolation of multiple zones and isolation of database connections based on CPU
resource groups. OceanBase Database also automatically identifies and isolates slow queries to
prevent them from affecting the overall transaction response time.
Online Transaction System
Data Analytics System
Computing
Resources
Data
Storage
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Key Competitiveness
Highly Compatible with Mainstream Databases
OceanBase Database is compatible with mainstream open source and commercial databases. SQL
syntax, commands, objects, operation habits, stored procedures, C APIs, and precompilers are
supported in OceanBase Database. Applications can be migrated to an OceanBase database with a few
or even no changes, saving considerable labor and time costs. In addition, users can create different
database tenants in the same OceanBase cluster.
Open-source
Database
Different database tenants in one OceanBase cluster
Complete compatibility with data types, SQL syntax, and operation habits
Commercial
Database
Support for PL/SQL, OCI, Pro*C, and other advanced features
Database � Tenant
OceanBase Cluster
Database � Tenant
Advanced Compression Technology Significantly Reduces Storage Costs
Data compression is key to the reduction of massive data storage. OceanBase Database implements a
distributed storage engine featuring a high data compression ratio. Thanks to the adaptive compression
technologies, the LSM-tree-based storage engine balances the system performance and compression
ratio in a creative manner, which is impossible in a conventional database that stores data in fixed-size
chunks. Moreover, data and logs are separately stored in the system to further reduce the storage
costs. The LSM-tree-based storage engine greatly reduces the storage costs by using encoding and
compression technologies.
For the same amount of data,
the storage space required in OceanBase
Database is much lower than that in MySQL
and Oracle, approximately
�/�-�/�
OceanBase Database significantly
improves the stability and security of a business system and reduces storage costs by
��%-��%
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Key Competitiveness
Native Multitenancy Ensures Resource Isolation and Flexible Management
OceanBase Database adopts a native multitenant architecture, which supports multiple tenants in one
cluster. Each tenant can be considered as a database service. Data and resources of one tenant are
isolated from other tenants, and tenant resources are uniformly allocated within the cluster. Users can
create different database tenants and configure the number, type, and storage location of data replicas
as well as computing resources for each tenant.
Suitable for Microservice Architecture
As business system of an enterprise becomes more complex, a monolithic service architecture will
cause overwhelming workload in engineering and management. If a microservice architecture is used,
the enterprise can add and adjust services only by adding new microservice nodes. However, as each
microservice needs a separate database, more services require more databases, leading to challenges for
database reliability and O&M management. With the multitenant architecture of OceanBase Database,
the administrator needs to maintain only a small number of clusters, with guaranteed isolation of
tenant data and resources and improved database stability.
Suitable for Multitenant SaaS Services
Generally, software-as-a-service (SaaS) cloud vendors provide multitenant services. If the spaces of
multiple business tenants are logically isolated by tenant name in a single database, operations of
different tenants can affect each other. If each business tenant uses a separate database, the large
number of scattered databases can be a real headache for O&M engineers. The scalability is limited, let
alone the high costs. The native multitenant architecture of OceanBase Database provides a better
balance between resource isolation and costs, and tenants of any specification can be scaled in and
out separately.
Application �
Application �
Application �
Oracle
MySQL
Oracle
Resource Isolation, Data Isolation, and Elastic Scalability
OceanBase Cluster
CPU
CPU
CPU
Memory
Memory
Memory
Resource Pool �
Resource Pool �
Resource Pool �
Storage
Storage
Storage
Each application tenant has a dedicated resource pool.
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OceanBase Cloud
OceanBase Cloud provides fully managed database services with elastic scalability, ultra-fast performance,
and high compatibility on global cloud infrastructure. OceanBase Cloud provides database solutions
on the cloud, covering support, scaling, monitoring, diagnosing, development, migration, backup and
restore.
Cloud
Service
Tools
Public Cloud Service
Cluster version
Monolithic version
OMA
Multicloud Service
OCP
ODC
OMS
History version
Third-party tools
OceanBase Database Kernel
Database
Paxos
multi-replica
Online
DDL
Data
compression
Cloud
Infra
Beijing
Data
compression
Concurrent
processing
Distributed
transaction
High
availability
···
Other Cloud
Vendors
AWS
Alibaba Cloud
Shenzhen
Transparent
scaling
HTAP
Hangzhou
Shanghai
Indonesia
Singapore
United States
Cluster version
O&M Console
Cluster
Management
Tenant
Management
Performance
Monitoring
Warning
Management
Capacity
Management
Backup
Recovery
SQL
Diagnose
SQL
Audit
Security
Management
History
Events
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OceanBase Cloud
Key Features
Multi-cloud Deployment
Support deployment on multiple cloud vendors, including AWS, Alibaba Cloud, Tencent Cloud. You can
easily manage databases across cloud platforms via a unified console.
Multi-tenant Flexibility
The native distributed multi-tenant architecture isolates data and roles among tenants. It allows independent
tenant configuration for replica number, location, and compute resources for improved hardware and
storage resource utilization.
Real-time Operational Analytics
OceanBase uses one copy of data for both transaction and operational analytics workloads, which ensures
real-time analytics and strong data consistency.
��.��% SLA
For On-Premises and Hybrid Cloud deployment, the revolutionary "Three Regions, Five IDCs" architecture
supports a region-level disaster recovery with zero data loss and application recovery time less than ��
seconds.
Available Zones
�� available regions
�� available zones
����+ nodes
Available regions
Available soon
Available zones cover major countries and regions across the globe, meeting the requirements of
global enterprises.
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Solutions
Scalable OLTP
Auto Scaling | High Performance | Cost Effective
OceanBase Database, adopting a next-generation native distributed architecture, provides users with
strong performance, high compatibility, high scalability, and low cost through technologies such as
multi-tenant, partitioned transparent scaling, advanced coding compression, helping customers
achieve higher efficiency at lower costs.
The Challenge
With data grows significantly, traditional monolithic databases experience performance bottleneck, which
requires scaling out or scaling up. However, the conventional monolithic database cannot be horizontally
expanded and has to be split into multiple physical instances. This makes the number of instances as many
as tens or even thousands, posing a serious challenge to operation and stability.
Heterogeneous storage systems
According to various business needs in different scenarios, an enterprise often needs to deploy different
databases, such as Oracle, MySQL, DB�, and PostgreSQL. These different systems are complex to operate
and maintain, which brings large investments in resource and human power.
High resource costs
The conventional standalone database cannot be horizontally expanded and has to be split into multiple
physical instances. This makes the number of instances as many as tens or even thousands, posing a serious
challenge to operation and stability. As the number of instances grows, the cost of software licenses rises
accordingly.
Resource fragmentation
The utilization of resources, such as CPU and memory, varies in different scenarios. Sometimes resources
are not sufficient, but sometimes a large amount of resources are idle. Resources cannot be "pooled" and
cannot be managed in a centralized way, leading to a serious waste of resources.
The Solution
With OceanBase Migration Service (OMS), data can be quickly migrated to OceanBase Database without any
downtime, with minimal or even zero modification. Resources are isolated on a per tenant basis and data is
maintained independently between business modules. The resources of a tenant can be increased or
decreased as needed, which is transparent to applications.
OceanBase's large cluster mode integrates multiple instances into one cluster for unified management,
flexible management and scheduling, significantly improving resource utilization.
With the powerful leader distribution and read/write routing strategies for clusters, OceanBase has proven
experience in managing high concurrency systems, which has been adopted in Ant Group for years.
��
OceanBase Database comes with a powerful intelligent control console that automatically detects and
analyzes typical issues, which significantly improves O&M efficiency.
Tenant �
Tenant �
Tenant �
Tenant �
AZ �
AZ �
OB Node �
OB Node �
OB Node �
Leader
Follower
Follower
Follower
Leader
Follower
Leader
Follower
Follower
Follower
Follower
Leader
MySQL/Oracle �TB
AZ �
MySQL/Oracle �TB
Benefits
High compression ratio
Using LSM-Tree based self-developed storage engine in combination with data encoding and compression
algorithms, OceanBase Database achieves a high compression ratio of more than ��% (compared with
traditional databases), significantly reducing storage costs.
High performance
OceanBase Database uses the shared-nothing architecture and distributes leader replicas across nodes to
implement multi-node data write, which makes it easy to handle ultra-high concurrency requirements. In
addition, it uses the industry-leading table group technology to optimize the processing of a distributed
transaction, achieving an execution efficiency as high as that of a single-node transaction.
High compatibility
OceanBase Database supports Oracle- and MySQL-based tenants in the same cluster. It is compatible with
most features of Oracle and MySQL, such as SQL syntaxes, stored procedures, functions, C APIs, and
precompilers, minimizing business migration and modification costs.
Multi-tenant
OceanBase Database realizes kernel-level virtualization and isolates resources and data between tenants.
Different tenants can share the same cluster, which significantly improves resource utilization and reduces
costs.
High scalability
An ultra-high-throughput OceanBase cluster can be built with common PC servers. The cluster can be flexibly
scaled as needed without sharding, so that cost growth is predictably smooth.
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Solutions
Real-time Analytics
T+� HTAP | Multi-model Support
OceanBase Database uses one set of database engine to process both online transaction processing
(OLTP) and online analytical processing (OLAP) tasks. This avoids the time-consuming ETL process in
real-time data warehouses.
The Challenge
Poor real-time performance
Offline data warehouses often only provide T+� data capability. Moreover, the separate construction of
real-time data warehouse is relatively complicated for small and medium-sized enterprises, and
requires additional human power costs to maintain the data synchronization link.
Poor resource isolation
If resource isolation in an HTAP architecture cannot be guaranteed, once the database that undertakes
key transactions is affected by analytical and batch-type business, it often directly leads to a drop in
online transactions and serious damage to business.
Limited capability
Due to the synchronization latency, it is impossible to guarantee real-time data consistency in traditional
primary/standy cluster in case of large transactions or DDL operations. SQL optimizer of conventional
databases cannot support complex analysis of multiple tables across shards.
The Solution
OceanBase Database's HTAP mode makes it possible for direct business analytics query without waiting for
T+� data, enabling real-time marketing analytics directly in the online library.
MySQL
25-49
Partitioned
Table
Leader
MySQL
50-74
MySQL
75-99
Real-time Data
Warehouse Queries
OLAP
Core Transactions
OLTP
MySQL
00-24
OceanBase
Cluster
Follower
Follower
��
Benefits
Strong Data Update Capability
Relational database-based data update capability with very low latency between replicas.
Multi-model Support
Support HBase and Table model APIs, and supports semi-structured data formats such as JSON.
HTAP Capability
Provide a reliable TP/AP resource isolation solution with the resource group isolation technology.
Distributed Parallel Computing Engine
The Powerful SQL optimizer supports parallel computing and analysis of massive data.
Flexible Scalability
A single cluster can have a maximum of �,��� nodes, with data capacity reaching petabyte level.
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Solutions
Database Consolidation
Resource Pooling | Manageability | Cost Optimization
With the distributed multi-tenant architecture, OceanBase Database achieves service-oriented
multi-database consolidation, and realizes resource pooling while ensuring resource isolation and
system availability, which significantly improves resource utilization and management efficiency and
helps SaaS enterprises reduce their overall costs.
The Challenge
Instance fragmentation
Multiple different business applications within an enterprise, or the resource isolation needs of SaaS
enterprises for different customers, may lead to the need to deploy a large number of database
instances, resulting in serious fragmentation. When key business or customer demands surge, it is
difficult to scale out flexibly and to guarantee performance and availability.
Resource waste
Due to the fragmented deployment of database resources, an enterprise often reserve an extra portion of
resources for an instance for request growth in a short period of time in order to ensure certain performance
elasticity. Such resource reservation actually causes huge resource waste from the overall business
perspective and raises the cost of enterprise resources.
Complex management
A large number of database instances increases management complexity. It is difficult for the DBA
team to put hundreds or even thousands of instances under fine-tuned management. In case of a
failure, jitter, or other events, it may take a long time for the DBA team to recover services. As a result,
the management costs may rise.
The Solution
The multi-tenant solution helps improve resource utilization by integrating database instances of
different businesses. With the multi-replica design based on the Paxos protocol, high availability can
be ensured for each resource unit.
The multi-tenant solution not only applies to large and medium-sized enterprises where resources of
different business lines need to be put into a resource pool, but also applies to SaaS enterprises where
instances of different specifications need to be provided for different customers, which ensures
resource isolation at lower costs.
��
Small-sized merchant A
Medium-sized merchant B
Daily business growth
Small tenant �
� cores, � GB memory
Medium tenant �
� cores, �� GB memory
Large tenant �
�� cores, ��� GB memory
Large-sized merchant D Scale-out
for major promotions
Small tenant �
� cores, � GB memory
Auto Scaling
Large tenant �
�� cores, ��� GB memory
Medium tenant �
�� cores, �� GB memory
Medium-sized merchant C Evolved
into a large-sized merchant
In-place Scale-out
OBServer �
Medium tenant �
�� cores, �� GB memory
Auto Scaling
Large tenant �
�� cores, ��� GB memory
Medium tenant �
�� cores, �� GB memory
Small tenant �
� cores, � GB memory
OBServer �（ Auto Scaling）
Small tenant �
� cores, � GB memory
OBServer �（ Auto Scaling）
Benefits
Resource pooling: OceanBase cluster natively implements resource isolation and virtualization in
the multi-tenant solution. Hundreds of database instances can be deployed in one cluster, with data
and resources isolated for each instance and computing resources scaled out in seconds.
Flexible scaling: With the multi-node distributed architecture, you can immediately upgrade a
single server, and flexibly scale to multiple servers with auto load balancing. OceanBase Database
automatically completes the data migration and multi-dimensional data verification without human
intervention.
Unified Management: AInstead of managing several hundreds of scattered instances, DBAs now
manage clusters in OceanBase. Data loading, alarming, and tuning are performed on a per cluster
basis. Minor failures can be automatically recovered, significantly improving maintenance efficiency
and emergency response speed.
Cost Effectiveness: Resource pooling improves resource utilization. And the advanced compression
algorithm reduces storage costs by �/�, compared with traditional databases. The total cost of ownership
(TCO) can be reduced by about ��% to ��% for large and medium-sized enterprises.
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Solutions
Multi-cloud Architecture
Multi Cloud | Hybrid Cloud | Unified Management
OceanBase can provide customers with a multi-cloud, cross-cloud, or hybrid cloud deployment architecture,
which achieves cloud vendor-level disaster recovery.
The Challenge
‒ Single point failure: In the case of a black swan event, such as crash, network failure, or power outage,
single-cloud deployment may encounter service interruption and even data loss or capital loss, which
is unbearable for many enterprises.
‒ Asynchronous data replication: In a traditional database, cross-cloud data replication is asynchronous,
which requires manual operation and maintenance (O&M). In the case of an IDC-level disaster, data
loss or capital loss may occur.
‒ Cloud infra depandency: Some cloud-native databases depend heavily on cloud vendor-specific
hardware and infrastructure. Otherwise, these databases cannot provide services or can only provide
limited services.
The Solution
OceanBase provides public cloud services that are compatible with the cloud infrastructure of multiple
cloud vendors. These services are managed in an all-in-one console.
OceanBase provides consistent product features, interfaces, accessibility, and user experience for
different cloud deployment modes.
OceanBase connects on-premises systems with public clouds over secure network facilities. If your
service encounters heavy load, failure, or disaster, the service can be quickly switched to other cloud
services.
For users in areas prone to natural disasters or users seeking cloud neutrality, an OceanBase cluster
can be deployed across different clouds by connecting the virtual private clouds (VPCs) of different
cloud vendors. If a single cloud becomes unavailable, the service can be quickly recovered, with zero
data loss.
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Independent, prviate cloud, and public cloud deployment
Physical Resource
Self-built IDC A
Multi-cloud
BareMetal
Prviate Cloud A
Public Cloud
Existing applications
OceanBase
DBMesh
New generation core
Existing applications
IaaS
New generation applications、
applications
Paas
OceanBase
DBMesh
Online business
IaaS
Paas
OceanBase
DBMesh
Benefits
‒ Multiple Deployment Modes: OceanBase supports multi-cloud and hybrid cloud deployment. An
OceanBase cluster can be deployed across different clouds, which achieves cloud vendor-level disaster
recovery.
‒ Unified Management Console: OceanBase provides a unified multi-cloud O&M console for users to
manage all instances, which significantly improves management efficiency and reduces risks.
‒ DBMesh: OceanBase Database Proxy (ODP) supports transparent access to OceanBase, which shortens
the access link and improves the database performance and availability. ODP supports applications
coded in different programming languages via SQL proctocol.
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Case Studies
GCash
GCash is one of the leading mobile payment providers and the largest e-wallet in the Philippines. By
����, it had more than �� million users. On average, one out of every three Filipinos is a GCash user.
Challenges
There was a bottleneck in the scalability of the MySQL database. Engineers were required to work
overnight, on average � days a week, to perform database sharding and data cleaning, which resulted
in frequent business interruptions lasting � to � hours each.
The large number of MySQL instances increased operation and maintenance (O&M) costs.
Solution
OceanBase Migration Service (OMS) is adopted to migrate the whole business to OceanBase Database with
zero downtime. The storage architecture is upgraded to optimize the overall database architecture,
providing strong support for GCash's long-term development.
Zone �
Zone �
Zone �
Billing
Tenant �
Tenant �
Tenant �
Marketing
Tenant �
Tenant �
Tenant �
Transaction
Tenant �
Tenant �
Tenant �
Payment
Tenant �
Tenant �
Tenant �
Accounting
Tenant �
Tenant �
Tenant �
Financial Network
Tenant �
Tenant �
Tenant �
Real-time Data
Tenant �
Tenant �
Tenant �
Core
Clusters
Bypass
Clusters
��
Benefits
OceanBase helps GCash reduce costs, improve efficiency, and implement financial-grade disaster
recovery during periods of rapid business growth.
High compression ratio: After the business is migrated to OceanBase Database, the required storage
space is reduced by ��% due to the high compression ratio of the database.
High availability: OceanBase Cloud's three-zone high availability architecture ensures business
continuity in the event of any single-zone failure.
High resource utilization: OceanBase Database's large cluster mode significantly improves resource
utilization. After the business is migrated to OceanBase Database, the resource cost of the database
is reduced by more than ��% on average.
Improved O&M efficiency: OceanBase Database significantly improves the O&M efficiency of database
administrators (DBAs) based on its kernel-based online DDL and intelligent diagnostics features and
the cloud console.
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Case Studies
Ctrip
Founded in ����, Ctrip is an online ticketing service company headquartered in Shanghai, China. As a
leading platform for hotel booking in China, Ctrip has partnered with more than ���,��� hotels all over
the world, and went public on Nasdaq in December ����. On October ��, ����, the company officially
rebranded as Trip.com Group. On April ��, ����. Trip.com was listed on the Hong Kong Stock Exchange.
Challenges
The large-scale business traffic of customer service exceed the data storage limitation in MySQL,
which can only covers the data storage for two months.
The active and standby architecture of MySQL is unable to expand storage by horizontal scale out.
The active and standby architecture of MySQL cannot guarantee the data consistency and rapid
failover in case of an IDC failure.
Solution
OceanBase replaces MySQL with nearly ��% data compression capability to cover the data storage
for one year, compared with � months before.
The horizontal scale out capability of OceanBase can deal with the business by adding or reducing
machines without business interruption.
The multi-replica consistency by Paxos consensus guarantees RPO=�, RTO<�mins.
The data migration and synchronization capabilities of OceanBase Migration Service (OMS) ensures
the smooth and stable database switchovers.
��
IDC �
Original Architecture
Business
Application
IDC �
Business
Application
IDC �
Primary WriteOnly Database
Primary WriteOnly Database
Primary WriteOnly Database
Business
Application
Business
Application
Business
Application
Business
Application
Business
Application
Business
Application
Primary/standby
Write-Only
Databases
Primary/standby
Write-Only
Databases
Write-Only
OceanBase
Database Replica �
Write-Only
OceanBase
Database Replica �
Write-Only
OceanBase
Database Replica �
Primary/standby
Write-Only
Databases
IDC �
New Architecture
Business
Application
Write-Only
OceanBase
Database Replica �
IDC �
IDC �
Write-Only
OceanBase
Database Replica �
Write-Only
OceanBase
Database Replica �
Business
Application
Benefits
More than one year of data storage capability can be obtained under the same hardware investment.
Automatic failover to improve the rapid recovery capability for nodes or IDC failure, and ensure SLA.
Strong data consistency, and reduce the risk of data loss.
The ultra-high compression ratio, multiple replicas, and strong consistency of OceanBase improve
the quality of customer services and reduce the cost.
��
Case Studies
DANA
DANA is one of the leading wallet providers in Indonesia. DANA provides digital payment and financial
services to more than �� million users of BBM, the second largest chat tool in Indonesia.
Challenges
With rapid growth of DANA Wallet's business, its initial small-scale cluster architecture has urgent
needs to increase capacity. However, the asynchronous replication in the MySQL architecture cannot
guarantee a high success rate and data consistency in the high-availability switchover.
Solution
Based on OceanBase Database's �-replica architecture, DANA deployed � replicas in the local IDC and �
replica on the public cloud to build a hybrid cloud infrastructure, based on OceanBase Database's
�-replica architecture.
OceanBase Database's native horizontal scalability enables the upgrade from the �-node cluster (�-�-�)
to the �-node cluster (�-�-�) without business interruption, significantly improving performance and
capacity.
OceanBase Migration Service (OMS) migrated hundreds of instances from the MySQL database to
OceanBase Database on the public cloud.
Application
Application
Rollback
OceanBase Database
(Primary)
Oracle/MySQL Database
(Standby)
OceanBase Database
(Standby)
Oracle/MySQL Database
(Primary)
��
Benefits
OceanBase Database helps DANA make business breakthrough with its unique features such as elastic
horizontal scalability, high availability, and financial-grade data consistency.
Since its business migration from MySQL to OceanBase Database in ����, DANA no longer suffers
from capacity and availability issues and is able to fully cope with its rapid business growth.
OceanBase Database now supports tens of millions of DANA users. Since ����, DANA has witnessed
zero database failure and zero data loss, as well as an overall business system availability of over
��.��%.
DANA's third IDC under construction is built on the public cloud, which truly realizes a tri-IDC hybrid
cloud deployment and further improves disaster recovery capability and service availability.
With a comprehensive OceanBase Database training program based on theory and practice, DANA
has developed a local team of OceanBase Database administrators (DBAs).
��
Case Studies
Industrial and Commercial Bank of China
Industrial and Commercial Bank of China (ICBC) was established on January �, ����, and was successfully
listed on both the Shanghai Stock Exchange and the Hong Kong Stock Exchange on October ��, ����. ICBC
is the No.� Bank for multiple consecutive years in The Banker's Top ���� World Banks and Forbes Global
����.
Challenges
High disaster recovery requirements: ICBC Asset Under Management (AUM) is trillions of dollars, and
therefore, ICBC requires ��/� services and Level � disaster recovery capabilities.
High hardware requirements to operate legacy database: The existing business systems run on
conventional mainframes and DB� databases which are costly to procure and maintain.
Monolitic architecture leads to poor utilization of computing resources. As ICBC business grow, it
requires increasing over provisioning of standby resources to cater for disaster recovery purpose.
Due to the monolithic architecture from legacy databases, the over-provisioning leads to extremely
high cost in wastage and equipment operating cost.
Solution
OceanBase Database provides native support for multiple data replicas. Data is replicated across
nodes based on the Paxos consensus to achieve high availability of the cluster and geo-disaster
recovery. Replicas with different zones can be combined to deploy as three IDCs across two regions
or five IDCs across three regions to achieve IDC and region level disaster recovery capabilities. The
solution implements region-level disaster recovery with RPO of less than two minutes and RTO of
less than two hours when it is deployed with primary/standby geo-disaster recovery mode.
OceanBase Database auto balances the work load to the least utilized and most suitable node in the
cluster based on unified real time resource scheduling. The fault management service automatically
detects the faulty nodes and route the transactions to healthy nodes, ensuring global strong consistency
of distributed transactions without a need for manual intervention.
��
IDC - �
OCP-related
Domain
Name
Resolution
Primary City
Standby City
IDC - �
IDC - �
OCP-meta
OBServer �
OCP-meta
OBServer �
OBProxy
OBProxy
OCP
OCP
Business Cluster Business Cluster
OBServer �
OBServer �
(Primary)
(Primary)
Business Cluster Business Cluster
OBServer �
OBServer �
(Primary)
(Primary)
OBProxy �
OBProxy �
OBProxy �
OCP-meta
OBServer �
Business Cluster Business Cluster
OBServer �
OBServer �
(Primary)
(Standby)
OBProxy �
OBProxy �
F�/SLB
F�/SLB
F�/SLB
APP
APP
APP
Benefits
OceanBase deployment in three IDCs deployed across two regions meets the level � disaster recovery
requirements of ICBC and supports ��/� non-stop services.The traditional mainframe computers are
replaced with Advanced RISC Machine (ARM) servers, which reduces the the system cost.
OceanBase database restructures the original database systems of ICBC into a distributed system,
increasing the resource utilization of the database nodes to up to ��%. When the processing capacity
of the system is severely bottlenecked, the system can be automatically scaled out to increase the
resources of the cluster to improve the processing capacity.
��
Case Studies
Cainiao
Cainiao Smart Logistics Network Limited, formerly known as China Smart Logistics Network, is a
Chinese logistics company launched by Alibaba Group, jointly with eight other companies, on �� May
����. As of May ����, Cainiao was one of the largest unicorn companies in China, valued at ��� billion
yuan. Cainiao ensures delivery within �� hours to any region of China. The company also shares
resources with other logistics companies.
Challenges
Cainiao Delivery Management System serves as an order processing and delivery platform for merchants
to record, pull, review orders and track packages. During order review, multiple orders from the
same buyer or recipient need be automatically merged. This makes it convenient for the merchant to
decide whether to pack the products into one delivery package to reduce logistics costs, especially
during major promotion campaigns. The management page needs to display the orders that can be
merged and allow the merchant to search by various meta-data.
In early version of Cainiao Delivery Management System, the transaction and order data is synchronized
to the corresponding tables stored in an AnalyticDB for MySQL (ADB) database. When a query is initiated,
the database joins the two tables to obtain and aggregate the waybill numbers based on the buyer
ID, recipient name, recipient contact information, recipient address, transaction type, and associated
package. Then, the database returns a list of aggregation results and statistics. However, with the
rapid business growth, this solution reaches its performance bottleneck. After rounds of hybrid I/O
optimization, the aggregate query performance can reach only around ��� QPS, which is too slow to
support the business growth. In addition, the cost to operate the database is too high. To ensure the
data write and aggregate query performance, the cluster uses ��� nodes. Each node is configured
with � CPU cores and costs more than RMB ��,��� a year, which means that the database cluster
costs about RMB � million (approx ~US$���K) a year. To meet the revenue goals of the next fiscal
year, a new solution is required.
Solution
The new solution meets the following requirements:
a. The aggregate query performance reaches �,��� QPS under a data write concurrency of higher
than ��,��� TPS.
b. The real-time processing of incremental data delivers acceptable performance.
c. Data can be filtered and searched based on multiple metrics or attributes.
d. A cost effective solution which can satisfy the above requirements
��
OceanBase Database delivers the expected read/write performance in order merger. OceanBase
Database stores the incremental data in a MemTable in the memory and the baseline data in an
SSTable in the SSD. Data modifications generate incremental data, which is written only to the
memory. In addition, subpartitioning splits data by user ID and order creation time, to improve read
performance. OceanBase Database supports three replicas, Paxos-based log synchronization,
strong-consistency reads specified by hints, and accurate statistics at low costs.
Cainiao Delivery Management System allows valuation application to query the historical order statistics
of merchants or buyers during a major promotion campaign, supports the valuation application to
calculate the shipping prices, classifies the historical orders as required by the merchant, and
displays the historical order statistics in real time.
Benefits
This upgrade lays the groundwork for business promotion in the future, and breaks the performance
bottleneck of order merger. The aggregate query performance is improved by ���% from ��� QPS to
more than ���� QPS, and the time consumption of a list query is reduced from ��� ms to �� ms,
which brings better experience to users. Also, the estimated annual costs are reduced by ��% from �
million CNY of the ADB-based solution to �.� million CNY of a solution based on OceanBase Database
and ElasticSearch.
After Cainiao deploys OceanBase Database, the system of Cainiao has experienced significant performance
improvement, and has demonstrated stable and efficient package handling capabilities both in
major promotion campaigns and daily transactions.
Users spend less time for package delivery and pick-up. The new solution offers much better user
experience and is more efficient.
��
Case Studies
Ziel Home
Ziel Home Furnishing Technology Co., Ltd. is a cross-border e-commerce market leader from China.
Ziel Home sells home furnishing products to more than �� countries, such as Western Europe, North
America, and Japan. The company has garnered excellent customer reviews across various marketing
channels. At the moment of writing, Ziel Home is the top seller of home furnishings on Amazon Europe
and is one of the largest B�C cross-border e-commerce exporters from Chinese mainland. In ����, the
company achieved a revenue of nearly RMB � billion, a ���% increase year-on-year.x
Challenges
As Ziel Home business grows, its current legacy database becomes a technical bottleneck. Ziel
Home’s old database cannot cope with high concurrency and high transaction traffic. Vertical scaling
of its database is impossible as database have reached its performance limit.
Ziel Home generates data from multiple platforms across the globe and Ziel Home has difficulty in
aggregating data for analysis and decision-making. Ziel Home realized that it requires a technology
stack that can help them to aggregates data from multiple cloud platforms.
Ziel Home requires a database management solution which can scale across different countries as
the business expands to more sites around the world with high data availability and reliability for its
database solution.
Database O&M becomes more complex and expensive due to numerous types of databases and large
number of instances. The variety of business systems Ziel Home operates results in high O&M cost and
administrative strain on its engineers.
Database O&M costs are high. Ziel maintains database instances across multiple platforms such as AWS
Europe, AWS North America, Alibaba Cloud Hong Kong (China), Alibaba Cloud Europe, and self-built
IDCs. The architectures and resources of database instances vary with the platform. The geographical
and temporal differences make the O&M management more complex in both technical and financial
areas.
Ziel Home maintains database instances across multiple cloud platforms such as Europe, North America,
Alibaba Cloud Hong Kong (China), Alibaba Cloud Europe, and self-managed IDCs. Due to multiple
platform operations, across multiple regions, Ziel Home operates different architecture and database
specifications and this adds O&M complexity, cost and overhead burden.
Solution
OceanBase database’s scalability can achieve linear performance development of business by
adding nodes horizontally, without sharding database.
��
OceanBase multi-tenants architecture supports multi-cloud hybrid deployment and enable unified
management of cloud or on-premises databases through OceanBase Cloud Platform (OCP) console.
OceanBase operates with high availability and is based on architectures which can operate high
disaster recovery capabilities.
Data are stored on a high compression ratio due to OceanBase encoding technologies and through
utilizing multi-tenant architecture, OceanBase can achieve higher cost efficiency and lower O&M
burden.
New business systems can now be deployed and launched quickly, and legacy systems can be
migrated seamlessly.
Integrate data from multiple cloud platforms using OceanBase Migration Service (OMS).
RDS
Europe AWS
PostgreSQL MongoDB
MySQL
Self-developed OB
OMS
OMS
SQLServer
RDS
PostgreSQL
MySQL
Hong Kong
Alibaba Cloud
Cloud service
OceanBase
Self-developed
OceanBase
OMS
North America AWS
MongoDB
Hong Kong
Alibaba Cloud
Self-developed OB
OMS
OMS
SQLServer
Benefits
With high compatibility with MySQL, adopting OceanBase allows Ziel Home to combine data from
multiple MySQL and RDS instances and integrate into one cluster. Furthermore, using data compression
it allows operation and maintenance cost and administrative strain to be reduced.
OceanBase database’s horizontal expansion capability enables elastic scalability which allows Ziel
Home to handle rapid growth of its business traffic.
With HTAP capability, OceanBase can reduce synchronization problem, migration of data for analysis, and
enable real-time data reporting.
��
About OceanBase
OceanBase is a cost effective, high performance, and highly scalable native distributed relational database,
���% independently developed by Ant Group. It has been supporting Alibaba and key e-commerce
events such as Double �� over the past years, and has been widely deployed in core systems among
customers in various industries. OceanBase supports deployment model including on-premise, cloud
SaaS and multi-cloud, hybrid model, and can handle Hybrid Transactional/Analytical Processing
(HTAP) with one database engine. OceanBase is highly compatible with both Oracle DB and MySQL DB,
users can easily migrate from conventional databases to OceanBase.
OceanBase
en.oceanbase.com
contactus@oceanbase.com
Twitter: @OceanBaseDB