DATASHEET
BASHO DATA PLATFORM
Basho Data Platform for High Availability
and Simplified Operations
Businesses want to use Big Data, the Internet of Things (IoT), and
hybrid cloud applications to their competitive advantage. However, the
components required to make these applications work can be very
complex. Applications must be easy to manage while keeping the data
highly available and massively scalable.
Basho Data Platform provides a distributed, scalable, fault-tolerant
framework and resource manager for integrating databases and other key
components of Big Data applications. It simplifies the process of integrating
and deploying Big Data, IoT, and hybrid cloud applications by providing a
complete set of data services. Basho Data Platform Core Services deploy,
manage, and synchronize data in and between Storage Instances (Riak® KV,
Riak® S2) and Service Instances (Apache™ Spark, Redis, Apache™ Solr).
Basho specializes in solving distributed
systems challenges, and integrated
approaches such as Basho Data Platform help
ensure that applications are highly available,
massively scalable, and easy to deploy at
production scale.
– Mac Devine, VP and CTO IBM Cloud Services at IBM
Distributed Big Data and IoT
Application Challenges
Basho Data Platform Benefits
REDUCED COMPLEXITY
Integrated NoSQL databases, caching, inmemory analytics, and search components
HIGH AVAILABILITY
Fault tolerance across Riak KV, Apache Spark,
and Redis clusters.
SCALABILITY
Auto-scale clusters as data grows
REAL-TIME ANALYTICS
Integrated Apache Spark and Riak KV
FAST APPLICATION PERFORMANCE
Integrated Redis caching and Riak KV
OPTIMIZED SEARCH
Integrated Apache Solr and Riak KV
DATA SYNCHRONIZATION
Replicate and synchronize data within and
across Riak KV, Apache Spark, and Redis
OPERATIONAL SIMPLICITY
Automated deployment and cluster
management for Riak KV, Riak S2, Apache
Spark, and Redis.
Modern applications have to serve customers located around the globe who
want immediate access to information, no matter where they are or what
device they are using. Ensuring that enterprise applications are available,
scalable, and fast requires a complex technology stack. Here are some of the application challenges:
COMPLEX INFRASTRUCTURE
Globally available Big Data applications require multiple databases along with multiple service components, none of which easily
integrate with the other. Companies require additional, specialized staff to manage the various components.
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DOWN TIME
Systems fail. When a cluster goes down, operation teams must
scramble to get applications back up and running. Every second
of downtime leads to lost sales and unhappy customers.
SCALING
Traditional relational databases are often manually sharded
to accommodate growth. As the databases grow additional
hardware capacity is required. Both of these are time-consuming
and cumbersome processes that drain resources.
Basho Data Platform Solves These Challenges
Basho Data Platform addresses these challenges by providing a new way to build, deploy, and manage enterprise applications.
Introducing the Basho Data Platform
Basho Data Platform takes the complexity out of building and deploying active workloads in Big Data, IoT, and hybrid cloud
applications by controlling the replication and synchronization of data between components. It provides cluster management
ensuring your application is highly available and scalable. Basho Data Platform supports multiple database models and tightly
integrates Riak KV with Apache Spark, Redis, and Apache Solr.
Riak KV – Distributed NoSQL database
A key/value data store that is highly available, scalable, and easy to operate, Riak KV is designed to intelligently replicate and retrieve
data so your Big Data, IoT, or hybrid cloud application is always available. Its scale-out architecture lets you add capacity seamlessly
using commodity hardware for near-linear performance improvement. With global replication and masterless architecture, Riak KV
serves data quickly and predictably even under peak load conditions. Multi-Cluster Replication makes it easy to replicate clusters
across your datacenter or around the world enabling data geolocation, secondary analytics, or business continuity.
High Availability — replicates and retrieves data intelligently, making
it available for read and write operations even in failure conditions.
Scalability — automatically distributes data around the cluster and yields
a near-linear performance increase as capacity is added.
Operational Simplicity — add machines to the cluster easily, without
a large operational burden.
Multi-Model — includes key/value, search, and object storage in a single
platform to support multiple types of data models.
Riak KV Data Types — conflict-free replicated
data types (CRDTs): flags, registers, counters,
sets, and maps. You don’t have to write code to
deal with data conflicts.
Multi-Cluster Replication — Serve global
traffic, maintain active backups, run secondary
analytics clusters, or meet disaster recovery and
regulatory requirements.
Monitoring — supports both SNMP, shipping
with an SNMP server built in, and JMX monitoring. Low Latency — store data and serve requests predictably and quickly,
even during peak times.
Fault Tolerance — lose access to nodes due to network partition
or hardware failure and never lose data.
Robust APIs and Client Libraries — PBC and HTTP APIs provide developers
flexibility to build in their preferred language. Supported languages include: Java,
Ruby, Python, C#, Erlang, .NET, and Node.js.
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Apache Spark Add-On — In-memory Analytics
The Apache Spark Add-On is architected for high performance, real-time analysis, and persistence of your data.
Cluster Management — No need for Zookeeper. Manage
Spark clusters at scale using built-in leader election enabled by
the Spark Connector.
Performance at Scale — Apache Spark Add-On is
architected for high performance, real-time analysis and Riak KV
persistence of Big Data.
Fast Data Mover — Intelligently load data into Spark clusters
to minimize network traffic and processing overhead.
Automated Deployment — Quickly deploy and configure
Spark clusters with Riak KV and auto-start failed Spark instances
to reduce manual operations.
Write-Back to Riak — Store intermediate and final results
back into Riak KV for further processing by Spark or other Big
Data application components.
Application Simplicity — Integrate and update real-time
analytics, caching and search technologies to simplify the design
and operations of Big Data Applications.
Redis Add-On — Redis Caching
Increase application performance with Redis Caching. With Basho Data Proxy, Redis is now highly available. Combining the speed of
Redis with the power of Riak KV provides low-latency, high performance at scale.
High Availability — Using the Basho Data Proxy,
the high performance caching capabilities of Redis become
highly available.
Fast Cache — Combining the speed of Redis with the power
of Riak KV provides low-latency, high performance at scale.
Automatic Sharding — Labor-intensive, error-prone manual
sharding is a thing of the past with automatic data sharding
across multiple cache servers.
Automatic Data Synchronization — Data is
automatically synchronized between Redis and Riak KV, and
the Basho Redis Proxy resolves cache misses without requiring
custom code to populate the cache.
Automated Deployment and Management — Easily
deploy and configure Redis instances with Riak KV, and auto-start
failed instances or disable on failure to reduce manual processes.
Application Simplicity — Integrate and update Redis
caching, real-time analytics and search technologies to simplify
your Big Data Application.
Apache Solr Add-On — Riak Search
Standard full-text Solr queries auto-expand into distributed search queries. Broad support is provided for Solr query parameters.
Intelligent monitoring detects and propagates changes to Solr indexes. Use existing Solr APIs to query data in Riak KV.
Ad-Hoc and Range Queries — exact match, globs, inclusive/exclusive range queries, AND/OR/NOT, prefix matching, proximity
searches, term boosting, sorting, pagination, and more
Index any Data Type — Support for various MIME types (JSON,
XML, plain text, Riak Data Types) for automatic data extraction,
along with support for custom Search extractors and support for
various language-specific analyzers, tokenizers, and filters
Familiar Interfaces — Protocol Buffer interface for Riak and
Solr interface via HTTP
Simplified Search — Scoring and ranking for most
relevant results
Familiar Languages — Robust, easy-to-use query languages
like Lucene (default) and DisMax
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Data Replication and Synchronization
Internal Data Store
Replicate and synchronize data across and between Riak KV and
Spark, Redis, and Solr Service Instances to ensure data accuracy
with no data loss and ensure high availability of your application.
A built-in, distributed data store for ensuring speed, faulttolerance, and ease-of-operations is used to persist static and
dynamic configuration data (port number and IP address) across
the Basho Data Platform.
Cluster Management & Monitoring
Integrated cluster management automates deployment and
configuration of Riak KV, Spark, and Redis. Once deployed in
production, issues can be automatically detected, and Redis
instances or Spark clusters can automatically restart. Cluster
management eliminates the need for Zookeeper to manage
Spark clusters.
24 / 7 CUSTOMER SUPPORT
Basho offers 24 / 7 access to Basho’s Client Services team,
including 1-hour response time for emergency production help.
Basho’s support team has extensive experience with production
installations and has worked on some of the largest Riak KV
clusters in the world. Enterprise licensees have unlimited access
to that experience and knowledge. Basho provides SLAs based
upon the severity of the issue with 24x7 coverage.
GET STARTED
If you are interested in more information and would like to discuss your possible use case, please
contact us at techtalk@basho.com.
For technical documentation about Basho Data Platform and Basho products please visit our
documentation portal at docs.basho.com. Case studies and white papers are available in our
Resource Center basho.com/resources.
About Basho Technologies
Basho is a distributed systems company dedicated to developing disruptive technology that simplify enterprises’
most critical data management challenges. Basho has attracted one of the most talented groups of engineers and
technical experts ever assembled devoted exclusively to solving some of the most complex issues presented by scaling
distributed systems.
Basho’s distributed database, Riak® KV, the industry leading distributed NoSQL database, and Basho’s cloud storage
software, Riak® S2, are used by fast growing Web businesses and by one third of the Fortune 50 to power their critical
Web, mobile and social applications. The Basho Data Platform helps enterprises reduce the complexity of supporting
Big Data applications by integrating Riak KV and Riak S2 with Apache Spark, Redis, and Apache Solr. Basho is the organizer
of RICON — a distributed systems conference. Riak is the registered trademark of Basho Technologies, inc.
Basho Technologies, Inc
617.714.1700 // www.basho.com
10900 NE 8th Street
Seattle, WA 98004