DB2 10 & InfoSphere Warehouse 10
New Features
IBM Confidential until 03 April 2012
© 2012 IBM Corporation
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Disclaimer
The information contained in this presentation is provided for informational purposes only.
While efforts were made to verify the completeness and accuracy of the information contained in this presentation, it is provided “as is”, without warranty of any
kind, express or implied.
In addition, this information is based on IBM’s current product plans and strategy, which are subject to change by IBM without notice.
IBM shall not be responsible for any damages arising out of the use of, or otherwise related to, this presentation or any other documentation.
Nothing contained in this presentation is intended to, or shall have the effect of:
•
Creating any warranty or representation from IBM (or its affiliates or its or their suppliers and/or licensors); or
•
Altering the terms and conditions of the applicable license agreement governing the use of IBM software.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that
any user will experience will vary depending upon many factors, including considerations such as the amount of multiprogramming in the user's job stream, the
I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve results similar
to those stated here.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
New Features of DB2 10 and InfoSphere Warehouse 10
DB2 is at the core of both
DB2 10 is the
underlying
database!
DB2 10
InfoSphere Warehouse 10
DB2 database software
offers industry leading
performance and reliability
on a choice of platform from
Linux, Unix and Windows to
z/OS
A complete real-time data
warehousing platform that delivers
superior scalability and
availability, design, build, and
management tooling, and
business analytics.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
High Performance. Low Costs.
Low Operational Cost
Ease of Development
Reliability
Parallel processing,
deep compression,
& automation
SQL compatibility,
native XML and graph stores,
& cloud support
High availability,
fast recovery,
& online utilities
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Building on the Pillars of DB2
Low Operational
Costs
 Faster Query Response
 Improved Index Mgmt
 Adaptive Compression
 Multi-Temperature
Data Management
 Real-time Data Warehousing
Ease of
Development
Reliability
 SQL Compatibility
enhancements
 DB2 pureScale
enhancements
 Graph Store
 Workload Management
Enhancements
 Row and Column
Access Control
 Temporal Capabilities
 HADR Supports
Multiple Standby Servers
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
New Release Highlights
 Faster business decisions
– Multiple instances of 3x faster performance for complex query workloads 1
– Real-time operational data warehousing
 Lower storage costs
– Have seen more than one client achieve greater than 7x overall space savings with
Adaptive Compression, with some tables achieving more than 10x space savings 2
– Multi-Temperature Data Management
 Improved data availability with DB2 pureScale enhancements
 Easy switch from Oracle Database to DB2
– Average PL/SQL compatibility moves above 98% 3
1.
2.
3.
Based on internal tests of IBM DB2 9.7 FP3 vs. DB2 10.1 with new compression features on P6-550 systems with comparable specifications using data
warehouse / decision support workloads, as of 29 Mar 2012.
Based on client testing in the DB2 10 Early Access Program.
Based on internal tests and reported client experience from 28 Sep 2011 to 07 Mar 2012.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Multiple Instances of at least 3x Faster Query Performance
Increase Ability to Meet SLAs; Postpone Hardware Upgrades
 Multi-core parallelism enhancements
 Performance improvements for:
–
–
–
–
Queries over star schemas
Queries with joins and sorts
Queries with aggregation
Hash joins
 Higher performance
– Up to 35% faster out-of-the-box performance
– Multiple instances of at least 3x faster when using new features *
 Lower costs
– Postpone hardware upgrades
“IBM and Intel® have collaborated over a decade to optimize DB2 performance with Intel® Parallel Studio 2011, software development suite
on Intel® Xeon® processors. We are excited to see a ~10x improvement in query processing performance using DB2 10 over the previous
DB2 version, running on IBM System x3850 using Intel® Xeon® Processor E7. Customers can now realize dramatically greater performance
boost at lower cost per query running IBM DB2 10 on servers powered by Intel® Xeon® processors.”
—Pauline Nist, GM Software Strategies, Intel’s Datacenter & Connected Systems Group
* Based on both external tests by partners, as well as internal tests of IBM DB2 9.7 FP3 vs. DB2 10.1 with new compression features on P6-550 systems with
comparable specifications using data warehouse / decision support workloads, as of 29 Mar 2012.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Index Management Re-defined
Increase Ability to Meet SLAs; Lower Administration Costs
 Jump Scan
 Smart Index Pre-fetching
 Smart Data Pre-fetching
 Predicate Evaluation Avoidance
 Higher performance
– Faster index performance
 Lower costs
– Fewer indexes to maintain
– Dramatic reduction in index reorgs
“Jump Scan optimizes buffer usage by 75 to 80%, resulting in very good improvement in overall
performance and saving the CPU cycles.”
—Shanmukhaiah D, Cognizant Technology Solutions.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Smart Index Pre-Fetching Means Easier Management
35
30
DB2 9.7
25
20
DB2 10
28%
faster
15
10
5
Index is 100%
Organized
Index is 50%
Organized
Index is 80%
Organized
0
Index Page Reads (Thousands)
DB2 9.7 Query Time (Seconds)
DB2 10 Query Time (Seconds)
Results based on IBM internal testing.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
DB2 Workload Management
Increase Ability to Meet SLAs; Postpone Hardware Upgrades
 CPU limits
– % of resources DB2 can consume
 CPU shares
Service
Class A
30%
Service
Class B
50%
– % of limit a service class can consume
– Hard shares and soft shares
 Available for all platforms
 Higher performance
Other
Processes
20%
DB2
– Prioritize important workloads
– More efficient distribution of workloads
Service
Class C
 Lower cost
– Postpone hardware upgrades
“The new Workload Manager feature helped us significantly improve
performance in our production systems. This makes DB2 an even better
alternative for customers who are using other database software."
—Elvis Hsu, Technical Supervisor, STI
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Breakthrough Savings with Adaptive Compression
Lower Storage Costs; Lower Administration Costs
DB2 10
Adaptive
Compression
DB2 9.1
Table
Compression
DB2 9.7
Temp Space &
Index
Compression
 Adaptively apply both table-level compression and page-level compression
 Table re-orgs not required to maintain high compression
 Compress archive logs
11
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Adaptive Compression has provided 7x or greater overall space
savings for more than one client, with some tables achieving 10x
space savings
12
10x
10x
10x
10
Space Savings
8x
8
6
4x
4x
4
2
0
Table A
Table B
Table C
Table D
Table E
All Tables
Based on client testing in the DB2 10 Early Access Program.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Adaptive Compression Shrinks your Data Storage Needs
 Higher performance
– Faster queries for I/O-bound environments
– Faster backups
 Lower costs
– Postpone upcoming storage purchases
– Lower ongoing storage needs
– Easier administration with reduced need for table re-orgs
“Page-level dynamic compression is one of the new DB2 features that will reduce
planned outages and increase storage savings by up to 2X over DB2 9.7%.”
—Jessica Tatiana Flores Montiel, DAFROS Multiservicios
“Our migration from Oracle Database to DB2 resulted in a 40% storage savings.
Upgrading to DB2 9.7 and index compression brought our average savings to 57%.
Now adaptive compression brings our average savings to 77%, dramatic savings!”
—Andrew Juarez, Lead SAP Basis / DBA, Coca Cola Bottling Company.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Multi-Temperature Data Management
Increase Ability to Meet SLAs; Postpone Hardware Upgrades
 Storage pools for different tiers of storage
– For range partitions, policy-based automated movement of data
HOT
WARM
SSD RAID
COLD
ARCHIVE
SAS RAID
SATA RAID
Optim
Data
Growth
 Higher performance
– Improved ability to meet SLAs while retaining greater amount of data for analysis
 Lower costs
– Embrace new lower-cost storage technology
– Further reduces the cost for meeting SLAs
“The multi-temperature database management feature of DB2 V10.1 is great because the hardware world is not just
RAM and hard disks. There are many types of storage options with different I/O speeds and prices. This feature
allows administrators to make optimal use of these different devices, balancing expensive SSDs with cheaper SATA
disks and everything in between. Using SSDs for indexes and logs and a SATA array for the data, we noticed fantastic
improvements in I/O speeds, especially for synchronous reads. Additionally, the background movement of data
between the storages groups is very fast.” —Thomas Kalb, CEO ITGAIN GmbH
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Time Travel Query
Easily Analyze Historical Trends and Predict Future Demand
 Temporal logic & analysis
 Valid time, transaction time, “AS OF” queries
 Higher performance
– Native support for fast performance
 Lower costs
– Eliminate need to maintain and update
custom temporal implementations
– Easy to administer (simply turn on for any table)
“The use of standardized SQL syntax for temporal operations and the
integration deep into the database engine, make DB2 a leader in second
generation bitemporal data management - Bitemp 2.0!”
—Craig Baumunk, Principal at BitemporalData.com
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Graph Store
Rapid Application Development
 Optimized way to store graph triples in DB2
Curt Cotner
ownsCar
2012 Ferrari
Curt Cotner
ownsHouse
123 Maple Ave, Chicago
Curt Cotner
ownsBoat
2001 Thunderjet
 Supports SPARQL 1.0 query language
 Higher performance
– Accelerates leading open source semantic Web framework by up to 3.5x
 Lower costs
– Rapid development with schema-less approach
– Easy adaption as needs evolve
– Simpler data management for triples
Based on internal benchmark tests of Rational Jazz graph store usage, comparing DB2 10 Graph Store with Jena TDB version 0.8.10.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
DB2 Graph Store Accelerates Leading Open Source Semantic Web
Framework by up to 3.5x
160
140
137.343
120
Seconds
100
80
3.5x
Faster
60
40
38.825
20
0
Jena TDB
DB2 NoSQL Graph Store
Based on internal benchmark tests of Rational Jazz graph store usage, comparing DB2 10 Graph Store with Jena TDB version 0.8.10.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
DB2 pureScale Enhancements
Increase Ability to Meet SLAs; Easily Add or Remove Capacity




Geographically-dispersed clusters
Further Improving IBM’s Shared-Disk Cluster Capability
Workload management for DB2 pureScale
Multiple database support
– Easy multi-tenancy




Range partitioning support
Additional backup/restore options
Support for 10-gigabit Ethernet
Support for multiple Infiniband adapters and switches
“Vormetric’s integration with DB2 pureScale GPFS provides IBM customers with a fantastic combination
of Vormetric Data Security with pureScale availability, capacity and scalability. Improved performance
and availability with data security offers our mutual customers a phenomenal solution.”
-- Todd Thiemann, Senior Director, Product Marketing Vormetric, Inc.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Row and Column Access Control
Easy Compliance with Privacy and Sensitive Data Requirements
 Fine-grained access control
– Hide rows from unauthorized users
– Mask the value of columns for unauthorized users
 Policy-driven security, with flexible policies
 Does not require classification
Teller Amy
sees
Account
Name
Income
Branch
1111-2222-3333-4444
Ana
22,000
A
2222-3333-4444-5555
Bob
71,000
B
3333-4444-5555-6666
Celia
123,000
B
4444-5555-6666-7777
Dinesh
172,000
C
Telemarketer Pat
sees
Account
Name
Income
Branch
Account
Name
Income
Branch
2222-3333-4444-5555
Bob
71,000
B
xxxx-xxxx-xxxx-4444
Ana
22,000
A
3333-4444-5555-6666
Celia
123,000
B
xxxx-xxxx-xxxx-5555
Bob
71,000
B
xxxx-xxxx-xxxx-6666
Celia
123,000
B
xxxx-xxxx-xxxx-7777
Dinesh
172,000
C
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Easy and Low Cost Security and Privacy Compliance
 Higher performance
– Less data duplication than using “Views” to mask data
– More secure than using “Views” to mask data
 Lower cost
– Easier to implement and maintain
– Easier compliance with privacy and sensitive data requirements
– Easier to maintain that using application code to mask data
“Because we deal with sensitive securities and financial information, the privacy of that information
is a top priority. Row and Column Access Control will help enhance our security solutions and help us
meet strict regulatory guidelines.”
—Shi Jin Li, China Securities Depository and Clearing Corporation Ltd.
“Row and Column Access Control help us to improve data confidentiality and
security in production environments.”
—Jessica Tatiana Flores Montiel, DAFROS Multiservicios
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Real-Time Data Warehousing
Faster Business Decisions; More Accurate Business Decisions




Continuous feed of data
Parallel processing
Supports multiple connections
Higher performance
– Faster availability of data
– Minimal impact on query performance
– No downtime (even for large volumes of data)
 Lower costs
– Costs less than solutions outside database
– Reduced infrastructure costs
“You can now continuously feed data into your data warehouse at a high rate
even whilst you are running queries against the tables in your data warehouse.
InfoSphere Warehouse 10 represents a greatly strengthened offering for the data warehouse market.”
—Ivo Grodtke, LIS.TEC GmbH
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
In DB2 10 Early Access Program testing, DB2 obtained
an average of 98% compatibility with Oracle PL/SQL
Easily Move from the More Expensive Oracle Database; Leverage Oracle Skills with DB2
Reliance Life Insurance
“The total cost of ownership with
DB2 running on IBM systems is almost
half the cost of Oracle Database on
Sun systems.”
Banco de Crédito del Peru
“We switched from Oracle Database
to IBM DB2 and cut our costs in half,
while improving performance and
reliability of business applications.”
JSC Rietumu Banka
• Moved from Oracle Database to IBM DB2
• Used “compatibility features”
• 3-30x faster query performance
• 200% improvement in data availability
9.7.1
SUB STRB
Increase compatibility
9.7.1
UDF Parameters: INOUT
Increase compatibility
9.7.1
FORALL/BULK COLLECT
Increase compatibility
9.7.1
Improve BOOLEAN
Increase compatibility
9.7.1
Conditional Compilation
Enhancement
9.7.1
Basic DPF Support
Broaden coverage
9.7.1
OCI Support
Broaden coverage
9.7.2
UDF Parameters: DEFAULT
Increase compatibility
9.7.2
Obfuscation
Enhancement
9.7.2
NCHAR, NVARCHAR, NCLOB
Increase compatibility
9.7.3
NUMBER Performance
Performance
9.7.3
Runtime “purity level” Enforcement
Increase compatibility
9.7.3
RATIO_TO_REPORT Function
Increase compatibility
9.7.3
RAISE_APPLICATION_ERROR
Increase compatibility
9.7.3
Small LOB Compare
Increase compatibility
9.7.4
Multi-action Trigger & Update Before Trigger
Increase compatibility
9.7.4
Autonomous Tx Improvements
Increase compatibility
9.7.4
LIKE Improvements, LISTAGG
Increase compatibility
9.7.4
ROW & ARRAY of ROW JDBC Support
Increase compatibility
9.7.5
Pro*C Support
Increase compatibility
9.7.5
Nested Complex Objects
Increase compatibility
10
Local Procedure Definitions
Increase compatibility
10
Local Type Definitions
Increase compatibility
10
PL/SQL Performance
Performance
Based on internal tests and reported client experience from 28 Sep 2011 to 07 Mar 2012.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
HADR now Supports Multiple Standby Servers
Increase Ability to Meet SLAs; Disaster Recovery
 HADR now supports more than
one stand-by server
 If Primary Server fails,
Principal Standby takes over
 If Principal Standby then fails,
can switch to Auxiliary Standby
 Auxiliary Standby can provide complete
offsite availability,
while maintaining speed of
local standby
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Accelerate Value for New Features
Increase Ability to Meet SLAs; Lower Administration Costs
 Updated Database Admin solutions:
– IBM Data Studio
– InfoSphere Data Architect
 Updated Performance Mgmt solutions:
– InfoSphere Optim Performance Manager
– InfoSphere Optim Query Workload Tuner
– InfoSphere Optim Configuration Manager
 Higher performance
– Immediate support for new performance features
– Enhanced Visual Explain, Access Plan Explorer and Index Advice
– Extended Insight identifies source of performance issues
 Lower costs
– Immediate support for new time saving features (incl. Temporal,
Multi-Temperature Data Management & Row and Column Access Control)
– IBM solutions are integrated and consistent
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
Coca Cola Bottling Company
“We’ve saved more than a million dollars over the past four years
in licensing, maintenance and storage costs by migrating from
Oracle Database to DB2. We’ve reinvested these savings into other
business projects while keeping our operating expenses flat. As a result,
we don’t have to pass rising costs on to consumers, which allow us to
maintain our sales volumes and market share.”
—Tom DeJuneas, IT Infrastructure Manager, Coca Cola Bottling Company.
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
New Releases Build on the Pillars of DB2
Low Operational
Costs
 Faster Query Response
 Improved Index Mgmt
 Adaptive Compression
 Multi-Temperature
Data Management
 Real-time Data Warehousing
Ease of
Development
Reliability
 SQL Compatibility
enhancements
 DB2 pureScale
enhancements
 Graph Store
 Workload Management
Enhancements
 Row and Column
Access Control
 Temporal Capabilities
 HADR Supports
Multiple Standby Servers
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
DB2 vs InfoSphere Warehouse
At a glance features…
Feature
DB2 10
InfoSphere Warehouse 10
OLTP
OLAP/Warehousing
DB2 Database
Adaptive Compression
Multi-Temperature Data Management
Time Travel Query
Row & Column Access Control
DB2 pureScale
Real-Time Data Warehousing
HADR
InfoSphere Warehouse 10 still
includes, data mining, cubing
and more warehousing tools in
addition to the above features
© 2012 IBM Corporation