A commissioned study conducted by Forrester Consulting on behalf of EnterpriseDB, published in January 2015, presents a case study for the evolution of relational database management systems. The study, Relational Databases are Evolving to Support New Data Capabilities, found that the majority—78%—of database decisions makers wanted one solution that could handle relational and NoSQL data types. The study finds that relational databases are evolving to address the needs of end users seeking to link unstructured and structured data types and that decision makers should look to invest in these solutions. EDB’s Postgres Plus Advanced Server, for example, addresses these needs with such capabilities as support for unstructured data types, non-durable tables, tools for large-scale data loads, and integration technologies that connect standalone NoSQL solutions with Postgres.

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Relational Databases are Evolving To
Support New Data Capabilities
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Presenters
› Noel Yuhanna – Principal Analyst
Forrester Research
› Keith Alsheimer, Chief Marketing Officer
EnterpriseDB
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• Applications have complex data
demands
• Multiple data stores slow
performance
Why Study Evolution?
• Standalone NoSQL solutions also need support for
various data types
• Relational Database Management Systems now
support multiple data types
Objective: Understand the database management and
business challenges relating to building new applications
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Relational Databases are
Evolving To Support New
Data Capabilities
Noel Yuhanna
Forrester Research

5. © 2014 Forrester Research, Inc. Reproduction Prohibited
Most find performance and integrating data as top
challenges…
Base: 104 US-based database management professionals
Source: February 2013 Global Database Management Online Survey
Delivering improved performance
Integrating data
Lack of people resources
Securing private data
Delivering higher availability
High data volume growth
Upgrading databases
Too many databases
Migrating databases
80%
75%
71%
71%
69%
69%
67%
63%
63%
“How challenging are the following database management issues to your organization?”
(Respondents indicating that an issue is “extremely challenging” or “somewhat challenging”)
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Four key trends that are impacting databases..
Social network apps
Real-time apps
LOB apps
Big data apps
Mobile apps
Collaboration
TBs into TBs
Larger EDW
Unstructured data
Admin challenges
Performance issues
Scale — unpredictable workload
Budget concern remains.
Doing more with less
Automation is the key.
Need for lowcost system
Subscription model
Ensure security.
Need for 24x7 availability
Deliver high performance.
Ensure on-demand scale.
Minimize downtime.
Next-
generation
apps
Budget
issues
Data
volume,
variety,
velocity
Global
apps
Database
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Traditional data types still critical for businesses to
function…
Base: 940 US-based data and analytics decision-makers
Note: not all responses shown
Source: Business Technographics Global Data And Analytics Survey, 2014, Forrester Research, Inc.
© 2015 Forrester Research, Inc. Reproduction Prohibited
“How important are the following data types to
your firm’s overall business strategy?”
Important Neutral Not important
Product data (360-degree
view of products)
56% 22% 17%
Homegrown data stored in
spreadsheets or other
desktop applications
66% 23% 9%
Customer data (360-degree
view of customers)
70% 20% 8%
Transactional data from
corporate business apps
72% 16%9%
Planning, budgeting,
forecasting data
85%11% 3%

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However businesses understand the importance of
utilizing new data types and formats…
Base: 627 US-based data and analytics decision-makers
Note: not all responses shown
Source: Business Technographics Global Data And Analytics Survey, 2014, Forrester Research, Inc
© 2015 Forrester Research, Inc. Reproduction Prohibited
“How important are the following data types to
your firm’s overall business strategy?”
Important Neutral Not important
Sensor data other than
mobile devices
Consumer mobile device data
(CDRs, geolocation)
Video, imagery, and audio
Scientific data
Unstructured internal data
30% 23% 41%
33% 23% 40%
36% 30% 32%
52% 18% 27%
58% 27% 13%

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Q3 - Please state how much you agree with the following statements:
Source: A commissioned study conducted by Forrester Consulting on behalf of EnterpriseDB,September, 2014
Base: 50 US-based IT decision makers with responsibility for enterprise architecture and/or application development
10%
14%
20%
24%
30%
42%
44%
52%
32%
20%
26%
32%
24%
32%
30%
22%
58%
66%
54%
40%
46%
26%
26%
24%
Merging data from different databases for consolidated reporting and re-
use is a challenge
My company has established clear guidelines for selecting a database
platform appropriate for the application being developed
We have concerns about the impact of data silos on our long-term data
integrity
We are unsure about the value of NoSQL databases and want to roll out
a few apps before expanding it to be part of our data management
strategy
Data stored in NoSQL database management systems (DBMS) are
creating data silos in my business
My company struggles to manage NoSQL databases deployed on our
infrastructure
My company lets developers choose the database they think best fits
the application being developed
My organization is unable to prevent developers from deploying NoSQL
databases on their own
Completely or somewhat agree Neutral Completely or somewhat disagree
NoSQL Databases are still evolving - maturity,
ease-of-use and time-to-value
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You need to link structured data with unstructured
data….
Base: 50 US-based IT decision makers with responsibility for enterprise architecture and/or application development
Source: A commissioned study conducted by Forrester Consulting on behalf of EnterpriseDB, September, 2014
© 2015 Forrester Research, Inc. Reproduction Prohibited
“How often would you like to link your unstructured
data with your structured data?”
Never 4%
Sometimes 60%
Most of the time 26%
All of the time 10%

11. © 2014 Forrester Research, Inc. Reproduction Prohibited
Source: A commissioned study conducted by Forrester Consulting on behalf of EnterpriseDB,September, 2014
Base: 50 US-based IT decision makers with responsibility for enterprise architecture and/or application development
Companies are looking for ways to co-store structured
and unstructured data sets within a database…
© 2015 Forrester Research, Inc. Reproduction Prohibited
“What is your preference for addressing the challenges of
managing structured and unstructured data?”
Continue to add and manage new,
specialized NoSQL databases as
needed in addition to my
existing relational database
4%
Merge data silos via
middleware applications
18%
Find ways to store both structured/
unstructured data sets within
my standard database
36%
Seek ways to integrate data in NoSQL
databases with relational databases 42%

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Relational databases are bridging the data gap -
bringing structured closer to unstructured data..
› Relational database still dominate the market $30 Billion
› Relational DBMS market is growing at 8% annually
› Relational are expanding their support for unstructured data
• JSON support – store, access, process in optimized manner
• Multi-format data type
› NoSQL are good option but:
• Maturity is still lagging
• Skills issues
• Time-to-value concerns
• Cost concerns
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Look at new JSON support - offering new use cases
› Mobile Apps
› Collaboration Apps
› Social media type Apps
› 360-degree view of the customer
› New types of Analytics
› Next-generation web-based Apps
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Thank you
Noel Yuhanna
www.forrester.com
Twitter: @nyuhanna
© 2015 Forrester Research, Inc. Reproduction Prohibited

15. © 2013 EDB All rights reserved 8.1. 15
Introduction to EDB

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EDB currently has over 2,800 total customers including 60 of the Fortune
500 and 100 of the Forbes Global 2000
EDB Customers
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The NoSQL-Only Conundrum
• Developers LIKE:
− Little/no knowledge of SQL required
− No need to deal with DBAs and Architects
− No data models needed
− Get apps up and running really quickly
• CIOs, DBAs and Architects Do NOT LIKE:
− Data silos for each NoSQL application
− Lack of compliance with corporate data standards
− Difficulty in integration with relational data tables
− Proliferation of multiple systems: new training; more tools;
additional administration costs
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• JSONB is naturally integrated
with ANSI SQL in Postgres
and Postgres Plus
• JSONB and SQL queries use
the same language, the same
planner, and the same ACID compliant transaction
framework
• JSONB and HSTORE (key value) are elegant and easy
to use extensions of the underlying Postgres object-
relational model
JSONB and ANSI SQL –
A Natural Fit in Postgres
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JSONB and ANSI SQL Example
No need for programmatic logic to combine SQL and
NoSQL in the application – Postgres does it all
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• Combines structured, semi-structured and unstructured data
• Use structures and relationships where appropriate, be flexible
everywhere else
• Use the flexibility of JSONB to bridge multiple formats and data
elements
• Use SQL to make relationships explicit – don’t hard code them
• Use Foreign Data Wrappers to read/write different data types
(Hadoop, MongoDB, Twitter, etc.) as native Postgres tables
• Leverage a single tech platform to avoid tech silos, skills silos
and data silos
• Focus on creating value, not on setting up yet another
infrastructure
Postgres--the Best of Both Worlds!
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