Six Reasons to Upgrade your Database

IBM Analytics
Six reasons to upgrade your database
How companies are managing growth, gaining insights
and cutting costs in the era of big data

IBM Analytics
222
Table of contents
Click on the titles below to jump directly to each chapter
Introduction 3
Reason 1: Lower total cost of ownership 5
Reason 2: A platform for rapid reporting and analytics 7
Reason 3: Increased scalability and availability 9
Reason 4: Support for new and emerging applications 11
Reason 5: Flexibility for hybrid environments 13
Reason 6: Greater simplicity 15
Conclusion 17
Resources 19

Flexibility for hybrid environments.
Get the flexibility you need for future
growth with support for multiple
deployment options—including on-premises,
cloud and hybrid. Read more.
Greater simplicity. An agile
database infrastructure helps you
keep it simple and flatten the cost
curve. Read more.
IBM Analytics
3
Lower total cost of ownership.
IT professionals are being asked to
manage more information and
deliver it with better quality of service. At the
same time, IT budgets are under scrutiny.
Choose the right database solution, and
you could lower your total cost of ownership.
Read more.
A platform for rapid reporting
and analytics. IT needs to support
internal “information consumers”
who require quick answers from business
applications. The database system plays a
critical role in delivering the necessary speed-
of-thought analytics. Read more.
Increased scalability and
availability. Maintaining business
agility in the world of big data is
imperative, and your database software
makes a big difference. Read more.
Support for new and emerging
applications. Accommodate new
use cases with a database solution
that meets the diverse needs of today’s
workloads. Read more.
1
2
3
64
5
Top reasons to change your database

IBM Analytics
4
Introduction
Reason 1: Lower total cost of ownership
Reason 2: A platform for rapid reporting and analytics
Reason 3: Increased scalability and availability
Reason 4: Support for new and emerging applications
Reason 5: Flexibility for hybrid environments
Reason 6: Greater simplicity
Conclusion
Resources
Let’s face it: You’re not doing business
the way you used to.
Your organization is executing campaigns
targeting the millennial generation and
depending on social data for deeper customer
insights. Managers are asking for more
data from multiple sources to support new
investments and product strategies. Marketing
promotions are adjusted in real time based
on current sales data across all channels.
Effectively using and managing information
has become critical to driving growth in areas
such as pursuing new business opportunities,
attracting and retaining customers, and
streamlining operations. In the era of big data,
you must accommodate a rapidly increasing
volume, variety and velocity of data while
extracting actionable business insight from that
data, faster than ever before.
These needs create a daunting array of
workload challenges and place tremendous
demands on your underlying IT infrastructure
and database systems. In many cases, these
systems are no longer up to the task—so it’s
time to make a decision. Do you use more staff
to keep up with the fixes, patches, add-ons and
continual tuning required to make your existing
systems meet performance goals, or move to a
new database solution so you can assign your
staff to new, innovative projects that move your
business forward?
Introduction
This ebook presents six reasons why you should consider a database change,
including opinions from industry analysts and real-world customer experiences.
Read on to learn more.

IBM Analytics
5
Introduction
Conclusion
Resources
Today, it is more important than ever that your
IT team use its budget and staff efficiently.
You need database software that provides
industry-leading data management capabilities
cost-effectively, while reducing the amount of
staffing resources needed to meet service-level
agreements (SLAs). But to cut management
costs, you also need solutions that help
automate a range of administrative tasks,
such as configuration setup and deployment,
workload management, utilization and storage
management, as well as maintenance,
upgrades and capacity expansion.
“Our largest and most critical operations table saw a compression rate of 11x!
This compression improvement is only on table data. With BLU tables we
don’t need all the indices either; this provides even more storage savings.These
amazing results will save us a great deal of space on disk and in-memory.”
—Mike Petkau
Director of Database Architecture Administration,
TMW Systems, a Trimble Company
Read more DB2 with BLU Acceleration use cases here
How does IBM DB2 provide cost savings?
• Automation helps reduce database
administration efforts
• Multiple compression techniques help
cut storage requirements
• In-memory capabilities help you
capitalize on business answers
more easily

IBM Analytics
6
Introduction
Conclusion
Resources
Reason 1: Lower total cost of ownership Cost/Benefit Case for IBM DB2 10.5
for High Performance Analytics and
Transaction Processing: Compared
to Oracle Platforms
Learn more about database costs in this report
from analyst group ITG. The report focuses on
high-performance analytics and transaction
processing, including comparing cost of
ownership for IBM® DB2® 10.5 with BLU Acceleration®
and Oracle Exadata. For example, three-year costs of
ownership for use of DB2 10.5 with BLU Acceleration
average 54 to 63 percent less than for Exadata, depending
on Oracle enterprise software licensing practices and on
whether x86 Linux servers or IBM Power Systems™ are
employed. Read the report here.
Data compression and multi-temperature data
management technologies offer another
cost-saving tactic because they reduce storage
requirements that typically consume a large
percentage of the IT budget.
Cluster topology transparency—not requiring
applications to be aware of the underlying
cluster and database resources and topology—
helps accelerate application coding and testing,
and can make application developers more
productive. And if you switch databases to save
money or accelerate processes, you don’t
want the expense of having to modify the
applications you’re currently using.
“We’ve saved more than a million
dollars over the past four years by
migrating to DB2.”
—Tom DeJuneas
IT Team Manager,
Coca-Cola Bottling Co. Consolidated
Read more here

IBM Analytics
7
Introduction
Conclusion
Resources
You need a fresh, new perspective on data
warehousing. DB2 with BLU Acceleration has
exactly what you’re looking for. Inside the DB2
database engine, IBM has brought together a
complete, multi-workload environment that can
help organizations transform their warehousing.
After all, getting answers to your sales team in
seconds, not hours, can mean the difference
between making and breaking a deal.
More people throughout the organization now
rely on data-driven insight to do their jobs. To
enable this insight, data scientists and business
analysts must have an environment that allows
them to explore, investigate, experiment,
study, scrutinize and discover new or emerging
patterns or trends that will affect their company’s
markets and revenues.
What makes BLU Acceleration
a next-generation technology?
The key is a range of data processing techniques
designed to deliver fast answers:
• In-memory computing technologies
• Columnar processing
• Actionable data compression
• Parallel processing techniques
• CPU acceleration
• Data skipping
Balluff GmbH, a manufacturer of sensor solutions, moved SAP Business
Warehouse to DB2 with BLU Acceleration running on IBM Power Systems
and gained 98 percent faster access to business data and 50 percent faster
response times in SAP ERP.
Read more here

IBM Analytics
8
Introduction
Conclusion
Resources
At the same time, your line-of-business users
need quick answers to their business
questions. This critical group—including
executives, customer-facing personnel and
mid-level managers—depends on access to
business intelligence so they can make timely
decisions, understand their business and identify
opportunities before the competition. Meeting
these needs requires a database that can
deliver analytics very quickly and very simply.
“Wow…unbelievable speedup in
query run times! We saw a speedup
of 273x in our Vehicle Tracking report,
taking a query from 10 minutes to
2.2 seconds.That adds value to our
business; our end users are going to
be ecstatic!”
—Ruel Gonzalez
Information Services, Data Proxy, LLC
In-memory technology delivers results
before you can ask the next question
As your organization increasingly uses
data for decision-making, the analytics
platform needs to deliver results
rapidly. Business users need quick
access to insights so they can continuously ask
questions until they are satisfied with the answers.
In their white paper “Follow the Money: Big Data
ROI and Inline Analytics,” Wikibon interviewed
companies to find out what drove big data success
and high ROI. They found that the most successful
businesses focused on automating their big data
projects, including inline analytics systems that
enable real-time decisions. They also found that
“IBM BLU is the most mature, relatively low-cost
and high-performing solution that can integrate
OLTP row-based systems and columnar data for
Inline Analytics.” Read the full study here.

IBM Analytics
9
Introduction
Conclusion
Resources
Keeping your business operating requires
data systems that are up and running—
all the time. Your customers and partners
expect continuous uptime and instantaneous
responses, and in this social media age, poor
performance can quickly turn into a public
relations nightmare.
You need a data system with built-in redundancy,
high availability and disaster recovery to
seamlessly handle unplanned or external
disruptions. And you need transparent database
clustering capability to scale up or down based
on dynamic business volumes.
Affordable, Scalable, Reliable OLTP
in a Cloud and Big Data World:
IBM DB2 pureScale
With growing data volumes has come an
increased demand for throughput and
for databases to support more, different
and highly complex database operations.
This IDC white paper discusses the concept of
shared data scale-out clusters and the way IBM DB2
pureScale®
is designed to deliver the power of server
scale-out architecture. Get the white paper here.
3

IBM Analytics
10
Introduction
Conclusion
Resources
Can your data system handle the load and
deliver results? Here’s how others are solving
their scalability and availability challenges.
McCormick tastes success with DB2 on
IBM Power Systems
For McCormick, the ability to maintain very
high levels of availability is critical—especially
during peak sales periods. Running DB2 on
IBM Power Systems enabled the company
to reduce backup windows and online
reorganizations, cutting planned maintenance
windows by approximately 20 percent and
giving valuable time back to the business.
Read more here.
BNSF Railway, Inc. boosts performance
and reliability
With DB2 pureScale software, BNSF Railway
is gaining reliability and capacity for its data-
driven services. It has achieved 99.999 percent
data reliability for transactional applications.
Watch the video and learn more here.
“We selected DB2 pureScale as
our premier continuous business
availability platform for a set of
tier 1 applications at Handelsbanken.
It is critical that these applications
are both fully available and that
the system scales to meet our needs.
We have more than 3,000 jobs we
run nightly and with DB2 pureScale
we didn’t have to change a single
line of code to take advantage of
the full availability and scalability
characteristics that IBM provides.”
—Philip Källander
Chief Technical Architect,
Data Warehouse Analytics, Handelsbanken

IBM Analytics
11
Introduction
Conclusion
Resources
Customers are price-shopping by phone,
comparing ratings on tablets, looking for
reviews and experiences on social networking
sites and more. All of those touch points
represent chances to convince a customer to
buy your product and foster loyalty. Therefore,
you have to manage the multichannel
customer experience accordingly.
This poses a new set of deployment and
development challenges for the database
infrastructure, which needs to provide the
flexibility to serve, capture, store and process
a wide variety of information types from
different sources. You need a data store that
can serve up data when and how it is needed,
and capture exactly what is happening at any
moment in time.

IBM Analytics
12
Introduction
Conclusion
Resources
Planning your database journey? Make
sure these stops are on your road map
• Flexibility to use “fit-for-purpose”
data models whether on-premises
or in the cloud
• Ability to scale and grow as needed
• Cloud capabilities for one-click auto-
synchronization of NoSQL data to
structured data in preparation for
advanced analytics
Watch this video and learn more about data
warehousing and analytics on the cloud.
For example, NoSQL (“no SQL” or “not
only SQL”) capabilities allow you to store
and process data in the most appropriate
model. NoSQL helps eliminate or avoid much
of the overhead associated with traditional
relational database systems, and is very useful
because it provides flexibility for different types
of big data.
For more about leading-edge technologies
and investments that can enhance data
management, read “Technology Innovations
for Enhanced Database Management and
Advanced BI.” This report from BI Research
examines online transaction processing (OLTP)
and business intelligence (BI) innovation as
well as support for big data. It focuses on the
IBM data management portfolio, including IBM
DB2 10.5, which incorporates many inventive
enhancements for both OLTP and BI processing.

IBM Analytics
13
Introduction
Conclusion
Resources
Maturing virtualization and cloud capabilities
allow you to tap into a broad array of deployment
options depending on business requirements.
But because not everything can (or should) live
in the cloud, many organizations find they are
managing resources both on the cloud and
on-premises. This reality has led to the rise of the
hybrid environment: a blend of data and
computing resources from both public cloud
sources and on-premises systems.
The hybrid environment is often called “the best
of both worlds” for businesses. Cloud-based
infrastructures offer an immediate opportunity
to avoid the costly investment needed for a
robust on-premises computing environment.
Structured and unstructured data can be found,
processed and managed on the cloud without
investing in extra on-premises hardware, while
IT can maintain control over privileged data.
Successfully managing a hybrid cloud environment
has its challenges; security, integration and
access are all concerns for even the most
cloud-savvy companies. Alleviating these issues
requires a data management infrastructure that
Gathering momentum for data in the cloud:
A revolution with real business benefits
Harnessing the power of data storage and data
management in the cloud is a key strategy for
companies striving to control spiraling infrastructure
costs and build a competitive edge. For this reason,
IBM has created dashDB™, a data warehousing and
analytics-as-a-service offering in the cloud. Based
on BLU Acceleration and other IBM in-database
analytics capabilities, it helps manage capacity on
existing data warehouses, analyze data already in
the cloud and enable self-service. Read the report
“Rapid insight with results: Harnessing analytics in
the cloud” to learn more.

IBM Analytics
14
Introduction
Conclusion
Resources
facilitates agile data management and ready
access to multiple data types across all
sources—and has privacy capabilities to protect
valuable data resources.
If you want to implement a hybrid cloud strategy,
you need a database management solution that
offers configuration flexibility, data modeling
transparency and mixed-workload support.
Because the data source matters less in a hybrid
environment, how you manage that source—and
others across cloud, virtual and on-premises
locations—makes the difference when delivering
data services. Data and insights must flow
seamlessly between environments in an efficient
and secure manner to enable access to dynamic
storage and application interoperability. These
environments must also support the same data
warehousing policies and other processes to
enable strong integration.
A hybrid cloud deployment can help you better
manage capital expenditures and infrastructure
costs. A cloud database helps reduce costs
because developers can provision environments
quickly, but also provides agility through rapid
project testing. By taking advantage of both
in-memory and columnar technology, they can
deliver insights faster.
Features that allow integration between the
hybrid cloud and current tools and systems
increase reuse opportunities and reduce the
steep learning curves on new techniques.
An integrated data management system
helps you avoid the work of investigating,
evaluating, purchasing, installing, configuring,
testing and tuning all of the individual
hardware, storage, operating system,
networking and software components.
Desert Research Institute (DRI) invested in
IBM expert integrated systems for exactly
those reasons. Facing growing complexity
in managing its research data, DRI turned to
IBM offerings. These systems provide a
powerful, scalable and reliable platform that
reduces IT costs, accelerates scientific analysis
and enables DRI to deliver data as a service.
Get more information here.

IBM Analytics
15
Introduction
Conclusion
Resources
The cost of database administration can rival the
expense of database software and hardware.
The goal is to lower your data management
costs by automating administration, increasing
storage efficiency, improving performance and
simplifying the deployment of virtual appliances.
By automating tasks such as configuration setup
and deployment, workload monitoring and
management, high availability and disaster
recovery, you can free up DBAs to focus on
new projects.
You probably hear a lot these days about
in-memory technologies, like BLU Acceleration,
that use new approaches to drive higher levels
of analytic performance. What if you could take
advantage of these technologies to deliver
out-of-the-box high performance for complex
queries, achieve groundbreaking storage
savings and ultimately flatten the cost-of-
analytics curve?
What makes BLU Acceleration
simple to use?
• Load-and-go capabilities
• Out-of-the-box high performance for
complex queries
• No need for specialized hardware
configurations
• Multi-platform flexibility
Read the PLANSEE Group case study to see how BLU
Acceleration simplified SAP operations.

IBM Analytics
16
Introduction
Conclusion
Resources
Other professionals are doing just that.
According to Bernhard Herzog, team manager
information technology SAP at Balluff GmbH,
“We cut report runtime by up to 98 percent
thanks to IBM DB2 with BLU Acceleration
technology—without changing operations
processes or investing in new hardware or
software. We were impressed [by] how easy
boosting database performance can be.”
Reaping the benefits of these technologies
is simple, too: IBM has significantly reduced
the risk and cost associated with database
migration. Applications built to run on
comparable Oracle databases require few or
no code changes to run on DB2 thanks to high
PL/SQL compatibility. The process could take
only a matter of days. Learn more here.
Harvard Research Group Assessment:
IBM DB2 10.5 with BLU Acceleration
The Harvard Research Group interviewed
several IBM clients to assess the value
DB2 with BLU Acceleration delivers in four
targeted use cases:
1. General analytics and reporting
2. Mixed-workload environments where the customer
has an OLTP system in addition to needing some
analysis and reporting, and where the analytics
and reporting can be accelerated using DB2 with
BLU Acceleration
3. SAP NetWeaver Business Warehouse
4. IBM Cognos® ROLAP dynamic cube type
applications
Read the report here.

IBM Analytics
17
Introduction
Conclusion
Resources
Conclusion
Conclusion
Every big data source has different characteristics,
ranging from frequency and volume to the
type and veracity of the data. Add dimensions
like governance and security, and now
choosing a data and analytics architecture is
rife with additional factors to consider: security,
governance, connectivity, portability,
management and so on. As a result, the right
data and analytics solution is often a
collection of different systems working
together very closely.
IBM Analytics offers an exceptionally deep
and broad portfolio of data and analytics
technologies and solutions, spanning services,
software, research and hybrid cloud. The IBM
portfolio includes discovery, reporting and
analysis, as well as predictive and cognitive
capabilities. It provides enterprise-class
Apache Hadoop, expert integrated
systems, analytics on streaming data, text
and content analytics, and much more, so
you can transform the way your organization
understands and uses data and content.

IBM Analytics
18
Introduction
Conclusion
Resources
These systems typically coexist and
interoperate with a relational database
management system such as DB2, building
a solid data foundation that can extend
across any environment. Without a scalable,
high-performance data management
infrastructure, the results and insights from
your analytics endeavors may not be fully
comprehensive. This foundation of database
and data management technologies powers
the analytics and governance tools that
feed applications.
Conclusion
“Together with the IBM SAP DB2 Center of Excellence at the IBM Development
Lab, we migrated about 150 InfoCubes from our previous SAP Business
Warehouse system already running on DB2 to DB2 10.5 with BLU Acceleration
in approximately 16 hours.”
—Bernd Lumpert
Power Systems Administrator for SAP,
PLANSEE Group
DB2 software is ready for the big data era.
It has the scalability and speed you need to
reap the full benefits of analytics, and the
flexibility to support cloud and hybrid
environments. BLU Acceleration and DB2
pureScale help you meet today’s demands
for greater access to broader data sources—
crucial requirements to make accurate,
confident decisions at business speed. You
owe it to yourself and your IT budget to take
advantage of this new generation of business
process and database innovations.

IBM Analytics
19
Introduction
Conclusion
Resources
Resources
Resources
To learn more about planning for a database change and to discover how IBM makes it easy to
move to DB2, please contact your IBM representative or IBM Business Partner.
To learn more about DB2 for Linux, UNIX and Windows and related functions and capabilities for
DB2, visit: ibm.com/db2/linux-unix-windows

IMM14144-USEN-02
© Copyright IBM Corporation 2015
IBM Analytics
Route 100
Somers, NY 10589
Produced in the United States of America
November 2015
IBM, the IBM logo, ibm.com, BLU Acceleration, Cognos, dashDB, DB2, Power Systems,
and pureScale are trademarks of International Business Machines Corp., registered in
many jurisdictions worldwide. Other product and service names might be trademarks
of IBM or other companies.A current list of IBM trademarks is available on the web at
“Copyright and trademark information” at ibm.com/legal/copytrade.shtml
Linux is a registered trademark of Linus Torvalds in the United States, other countries,
or both.
Microsoft and Windows are trademarks of Microsoft Corporation in the United States,
other countries or both.
UNIX is a registered trademark of The Open Group in the United States and
other countries.
This document is current as of the initial date of publication and may be changed by IBM
at any time. Not all offerings are available in every country in which IBM operates.
The performance data and client examples cited are presented for illustrative purposes only.
Actual performance results may vary depending on specific configurations and operating
conditions.THE INFORMATION IN THIS DOCUMENT IS PROVIDED “AS IS”
WITHOUT ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING
WITHOUT ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
PARTICULAR PURPOSE AND ANY WARRANTY OR CONDITION OF NON-
INFRINGEMENT. IBM products are warranted according to the terms and conditions of
the agreements under which they are provided.
Please Recycle

Six Reasons to Upgrade your Database

More Related Content

What's hot (10)

Viewers also liked (12)

Similar to Six Reasons to Upgrade your Database (20)

More from Luke Farrell (14)

Recently uploaded (20)

Six Reasons to Upgrade your Database