ESGYN Overview
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This document discusses ESGYN DB, a distributed transaction processing database engine that runs natively on Hadoop. It was created by the same engineers who invented massively parallel processing and non-stop SQL databases decades ago. The document outlines key benefits of ESGYN DB such as enabling real-time business performance reporting on Hadoop, guaranteed ACID transactions, and reducing data lake operational analytics costs by 10 times. It also provides an overview of ESGYN's history and technology.
ESGYN Overview
- 1. Are you extracting REAL Business Value from your Data Lake? July 2016 Big Data Value NOW ! www.esgyn.com | Milpitas, CA
- 2. › › › 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
- 3. › › 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 4 •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?
- 6. › › 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.
- 7. › › ESGYN overcomes these challenges! ACCELERATING DATA LAKE MONETIZATION remains unusable Structured Unstructured 1 2 3 4 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 ! 1 2 3 4 5
- 8. › › 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
- 9. › › 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
- 10. › › 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 [email protected] July 2016