© 2012 ibm corporation ibm confidential until 03 april 2012 db2 10 & infosphere warehouse 10...

© 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.



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!



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



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



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.



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



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.



Smart Index Pre-Fetching Means Easier Management

Index is 100% 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)



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



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



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.



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



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



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



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.



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



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



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


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


2222-3333-4444-5555 Bob 71,000 B

3333-4444-5555-6666 Celia 123,000 B

Teller Amy sees

Telemarketer Pat sees



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



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



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.



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



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



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.



ReliabilityLow Operational

CostsEase of

Development

New Releases Build on the Pillars of DB2

Faster Query Response

Improved Index Mgmt



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



DB2 vs InfoSphere WarehouseAt a glance features…

Feature DB2 10 InfoSphere Warehouse 10

OLTP OLAP/Warehousing

DB2 Database



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 ibm confidential until 03 april 2012 db2 10 & infosphere warehouse 10...

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