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 JourneyTHE 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…

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...

ESGYN - Key Value Propositions

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•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 LakesSETTING THE CONTEXT

Slow Batch Processing

CostlyBrain Power

Lack of Meta Business Models

Mixed Workloads: Not Possible

Schema-on Read ORWrite, relational orcolumnar- it doesn’tmatter. Leverage EsgynDBMPP engine to bypassHadoop’s batch-orientedsystem. For your businessit means quick queryresults and faster insights.

Costly time(Data Scientist/Big Data Developers) iswasted on data curation;eliminate (30 – 60%) devefforts spent in preparingyour data. Dramaticallyreduce your Big Data Devcost and remove skillbottlenecks.

From dumping data into alake to a game plan forassembling data isessential. This requiresagile business schemasand governance- a majorchallenge with Big Datatools. Overcome this withEsgynDB.

Big Data ecosystem isgrappling with providingreal-time Business value.With EsgynDB your DataLake would provideparallel reporting as datais being Updated/ Deletedor Inserted, reflecting truebusiness 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 fromdata dumps, to EsgynDBaware rapid ingestion andtransaction control(ACID).

• Speed up ETL or DataQueries thru MPP SQL.Leverage simple ANSI SQLskills to access Big Data.

• Create agile knowledgemodels, capture businessmeta to accelerate data toinformation journey.

• Convert your unstructureddata to structuredinformation, prepare foranalytics while executingmixed workloads, all thruEsgynDB.

• Up-to-date and real-timebusiness performancereporting.

EsgynDB accelerates usage

BIG DATA VALUE NOW !

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ESGYN-Where are we today?USHERING THE NEXT WAVE 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 Quick Technology OverviewWORLDS FIRST OPEN SOURCE, ENTERPRISE READY, FULL SCALE OUT MPP ENGINE ON HADOOP

Highly Scalable Architecture That Grows With You

• Data Lake Workloads: Key Businessdata read, written and updatedconsistently with high performanceand random access

• Standard Relational SQL onHadoop: ANSI compliant, parallelexecution, complex joins, UDFs andreferential integrity

• Open Access: ODBC, JDBC,ADO.Net, Hibernate

• Fully distributed transactions onHadoop: Guaranteed ACID

• Deep Enterprise Usage: Telco,Stock Exchanges, Banking, Media

• Mission Critical: Active-ActiveFailover for when applicationfailure is not an option.

• Active Archival on Hadoop: Warmarchive for immediate retrieval ofcheap Hadoop clusters

• Scalability: Near linear, proven onpetabyte 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

Ask for a Technology Deep-Dive and Demo

+1. 609.865.2365

rajender.salgam@esgyn.com

July 2016

Thank you!

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Esgyn Team