© 2012 IBM Corporation © 2012 IBM Corporation IBM Confidential until 03 April 2012 DB2 10 & InfoSphere Warehouse 10 New Features
© 2012 IBM Corporation© 2012 IBM CorporationIBM Confidential until 03 April 2012
DB2 10 & InfoSphere Warehouse 10New Features
© 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 10DB2 is at the core of both
InfoSphere Warehouse 10
A complete real-time data warehousing platform that delivers
superior scalability and availability, design, build, and
management tooling, and business analytics.
DB2 10
DB2 database software offers industry leading
performance and reliability on a choice of platform from Linux, Unix and Windows to
z/OS
DB2 10 is the underlying database!
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
High Performance. Low Costs.
ReliabilityHigh availability,
fast recovery, & online utilities
Low Operational CostParallel processing, deep compression,
& automation
Ease of DevelopmentSQL compatibility,
native XML and graph stores,& cloud support
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
ReliabilityLow Operational
CostsEase of
Development
Building on the Pillars of DB2
Faster Query Response
Improved Index Mgmt
Adaptive Compression
Multi-Temperature Data Management
Real-time Data Warehousing
SQL Compatibility enhancements
Graph Store
Row and Column Access Control
Temporal Capabilities
DB2 pureScale enhancements
Workload Management Enhancements
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. 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.
2. Based on client testing in the DB2 10 Early Access Program.3. 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 PerformanceIncrease 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
* 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.
“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
© 2012 IBM Corporation
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Index Management Re-definedIncrease 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
Index is 100% Organized
Index is 80% Organized
Index is 50% Organized
0
5
10
15
20
25
30
35
DB2 9.7
DB2 1028%faster
Results based on IBM internal testing.
Index Page Reads (Thousands)
DB2 9.7 Query Time (Seconds) DB2 10 Query Time (Seconds)
© 2012 IBM Corporation
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DB2 Workload Management Increase Ability to Meet SLAs; Postpone Hardware Upgrades
CPU limits– % of resources DB2 can consume
CPU shares– % of limit a service class can consume
– Hard shares and soft shares
Available for all platforms Higher performance
– Prioritize important workloads
– More efficient distribution of workloads
Lower cost– Postpone hardware upgrades
Other Processes
Service Class A
Service Class B
Service Class C
30%
20%50%
DB2
“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
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Breakthrough Savings with Adaptive CompressionLower Storage Costs; Lower Administration Costs
DB2 9.1Table
Compression
DB2 9.7Temp Space
&Index
Compression
DB2 10Adaptive
Compression
11
Adaptively apply both table-level compression and page-level compression Table re-orgs not required to maintain high compression Compress archive logs
© 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
0
2
4
6
8
10
12
Table A Table B Table C Table D Table E All Tables
Sp
ac
e S
av
ing
s
4x
10x 10x
4x
10x
8x
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
“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.
“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
© 2012 IBM Corporation
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Multi-Temperature Data ManagementIncrease Ability to Meet SLAs; Postpone Hardware Upgrades
Storage pools for different tiers of storage– For range partitions, policy-based automated movement of data
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
HOTSSD RAID
WARMSAS RAID
COLDSATA RAID
ARCHIVEOptim Data
Growth
© 2012 IBM Corporation
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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
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Graph Store Rapid Application Development
Optimized way to store graph triples in DB2
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
Curt Cotner 2012 FerrariownsCar
Curt Cotner 123 Maple Ave, ChicagoownsHouse
Curt Cotner 2001 ThunderjetownsBoat
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
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DB2 Graph Store Accelerates Leading Open Source Semantic Web Framework by up to 3.5x
Based on internal benchmark tests of Rational Jazz graph store usage, comparing DB2 10 Graph Store with Jena TDB version 0.8.10.
137.343
38.825
0
20
40
60
80
100
120
140
160
Jena TDB DB2 NoSQL Graph Store
Se
co
nd
s
3.5xFaster
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
DB2 pureScale EnhancementsIncrease Ability to Meet SLAs; Easily Add or Remove Capacity
“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.
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
© 2012 IBM Corporation
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Row and Column Access ControlEasy 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
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
Account Name Income Branch
xxxx-xxxx-xxxx-4444 Ana 22,000 A
xxxx-xxxx-xxxx-5555 Bob 71,000 B
xxxx-xxxx-xxxx-6666 Celia 123,000 B
xxxx-xxxx-xxxx-7777 Dinesh 172,000 C
Account Name Income Branch
2222-3333-4444-5555 Bob 71,000 B
3333-4444-5555-6666 Celia 123,000 B
Teller Amy sees
Telemarketer Pat sees
© 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
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Real-Time Data WarehousingFaster 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 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
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
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 ServersIncrease 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
ReliabilityLow Operational
CostsEase of
Development
New Releases Build on the Pillars of DB2
Faster Query Response
Improved Index Mgmt
Adaptive Compression
Multi-Temperature Data Management
Real-time Data Warehousing
SQL Compatibility enhancements
Graph Store
Row and Column Access Control
Temporal Capabilities
DB2 pureScale enhancements
Workload Management Enhancements
HADR Supports Multiple Standby Servers
© 2012 IBM Corporation
IBM Confidential until 03 April 2012
DB2 vs InfoSphere WarehouseAt 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