1. Are you extracting REAL
Business Value from your Data
Lake?
July 2016
Big Data Value NOW !
www.esgyn.com | Milpitas, CA

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› 4th generation SQL Engine, evolved to work natively with Hadoop
› Technology protected by 100+ patents
› Two decades of evolution: from transactions to analytics
› $300M+ in investments
› Managed billions of critical mixed workloads, Engineered for highest availability level
› Backed by a brain trust of engineers, who invented MPP database, with over 500
years of database expertise
ESGYN – Our Heritage and Journey
THE ENTERPRISES DATABASE FOR CONTINUOUS BUSINESS

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Introducing ESGYN DB
World’s first open-source, enterprise ready, full scale out
distributed transaction processing DB Engine on Hadoop.
From the same data engineers who invented and commercialized
Massive Parallel Processing, Non-Stop SQL DB Engine, two
decades ago!
Read on: How this rechristened cutting-edge DB Engine on Hadoop
will allow you to accelerate monetization from your Data Lake…

4. ESGYN - Key Value Propositions
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•World‘s FIRST and Only distributed transaction MPP DB Engine on Hadoop- Enable
Real-Time Business Performance Reporting !
•Performance Benchmarks beats all records- 5000 times better performance than Hbase/
Hive etc – Delight your End Customers !
•For the FIRST TIME – Enable ACID on Hadoop... ENSURE your Business Critical
Reports refect REALITY i.e. All Updates/ Deletes/ Inserts of Business Transaction are
GURANTEED on Hadoop !
•Certified on Cloudera, HDP, AWS and Cloud- Leverage your existing Distros. Dont
have a Hadoop Distro? No worries-ESGYN DB Hadoop works independently on-
premise or in the cloud !
Continued...

5. ESGYN - Key Value Propositions
5
•FULL ANSI – Complex SQL Queries for Poly-Structured Data – No Map Reduce/ Pig/
Scala etc code required.. Simple SQL: Lower your cost of development for BIG DATA
(structured and/or unstructured) !
•Mission Critical – Active Archivals & Active/ Active Replication – No Data Loss...Sleep
well at night AND Reduce cost of Archivals !
•Industry standard connections to Hadoop- JDBC/ ODBC/ADO.Net –Connect your BI
platforms (Tableau, Qlik etc) and custom Apps instantly !
•Dramatically Reduce Data Movements – Dont use your Data Lake as only a dumping
grounds for enterprise data. Process it faster with EsgynDB.
•Fully Compliant Enterprise Security- Robust security enforcement.
ESGYN Reduces Your Operational Analytics Cost on Big Data by 10X !
Ask us how?

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Biggest challenges in extracting value from Data Lakes
SETTINGTHE CONTEXT
Slow Batch
Processing
Costly
Brain Power
Lack of Meta
Business Models
Mixed Workloads:
Not Possible
Schema-on Read OR
Write, relational or
columnar- it doesn’t
matter. Leverage EsgynDB
MPP engine to bypass
Hadoop’s batch-oriented
system. For your business
it means quick query
results and faster insights.
Costly time(Data Scientist/
Big Data Developers) is
wasted on data curation;
eliminate (30 – 60%) dev
efforts spent in preparing
your data. Dramatically
reduce your Big Data Dev
cost and remove skill
bottlenecks.
From dumping data into a
lake to a game plan for
assembling data is
essential. This requires
agile business schemas
and governance- a major
challenge with Big Data
tools. Overcome this with
EsgynDB.
Big Data ecosystem is
grappling with providing
real-time Business value.
With EsgynDB your Data
Lake would provide
parallel reporting as data
is being Updated/ Deleted
or Inserted, reflecting true
business performance.

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ESGYN overcomes these challenges!
ACCELERATING DATA LAKE MONETIZATION
remains unusable
Structured Unstructured
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5 • Smart Ingest: Move from
data dumps, to EsgynDB
aware rapid ingestion and
transaction control(ACID).
• Speed up ETL or Data
Queries thru MPP SQL.
Leverage simple ANSI SQL
skills to access Big Data.
• Create agile knowledge
models, capture business
meta to accelerate data to
information journey.
• Convert your unstructured
data to structured
information, prepare for
analytics while executing
mixed workloads, all thru
EsgynDB.
• Up-to-date and real-time
business performance
reporting.
EsgynDB accelerates usage
BIG DATA VALUE  NOW !
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ESGYN-Where are we today?
USHERINGTHE NEXTWAVE OF BIG DATA ADOPTION
Silicon Valley:691
S Milpitas
Blvd,,CA
Guiyang: Baiyun
district
Beijing Beichen
East Road,
Chaoyang District
Shanghai:
Shanghai Pudong
› 2014 end: Spin out from HP and setup Silicon Valley Engineering
› 2015 start: Established China Engineering and Open Sourced
› 2015 mid: Became a Apache Project(Incubating) : Trafodion 1.1
› 2015 mid: Initiated Sales in China market, Offered Enterprise Support, rapidly
acquired customers
› 2015 end: Released Trafodion 2.0
› 2016 mid: Initiated Marketing and Sales Operations in the US
› 2016 mid: Acquired US Customers
NYC: WIP

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EsgynDB: A QuickTechnology Overview
WORLDS FIRST OPEN SOURCE, ENTERPRISE READY, FULL SCALE OUT MPP
ENGINE ON HADOOP
Highly Scalable Architecture That Grows With You
• Data Lake Workloads: Key Business
data read, written and updated
consistently with high performance
and random access
• Standard Relational SQL on
Hadoop: ANSI compliant, parallel
execution, complex joins, UDFs and
referential integrity
• Open Access: ODBC, JDBC,
ADO.Net, Hibernate
• Fully distributed transactions on
Hadoop: Guaranteed ACID
• Deep Enterprise Usage: Telco,
Stock Exchanges, Banking, Media
• Mission Critical: Active-Active
Failover for when application
failure is not an option.
• Active Archival on Hadoop: Warm
archive for immediate retrieval of
cheap Hadoop clusters
• Scalability: Near linear, proven on
petabyte scale.
• Flexibility: Cloud or Bare metal

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Enabling development of web-scale (IOT) and operational applications and business
transformations needing sub second response times at very high levels of scale and
concurrency
Accelerating offloading and modernization of applications from Oracle and other
traditional RDBMS to Hadoop,
avoiding expensive licenses and vendor lock-in of data
Reducing TCO 10X compared to traditional RDBMS platforms with ability to scale elastically
No latency and replication of data from operational environments
Facilitating closed loop analytics with insights from Big Data, historical, and operational
data on the same platform
Ability to leverage a very large Hadoop ecosystem
Providing convergence of NoSQL with SQL, model flexibility to support a much wider
variety of workloads, while
leveraging existing investment in skills and tools
Increasing confidence with Esgyn trusted experts supporting their Big Data initiatives
o Handle mixed workloads
o Convert data into real-time operational intelligence
ANNEX: What do you get with Esgyn DB Adoption?
WIP

11. Ask for a Technology Deep-Dive and Demo
 +1. 609.865.2365
 rajender.salgam@esgyn.com
July 2016

12. Thank you!
12
EsgynTeam