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Esgyn in the news

812, 2017

Esgyn and Ericsson Aim to Provide Big Data Solutions

December 8th, 2017|

      MILPITAS, CA – Dec 7, 2017 – Esgyn Corporation, a leader in Converged Big Data solutions that empower enterprises to realize the potential of Big Data, has partnered with Ericsson in China, a leading provider of telecommunication systems, network infrastructure, applications, and services. Together, Esgyn and Ericsson will offer cloud services, mobile broadband, network design and optimization, and other comprehensive industry solutions for big data business technologies. Telcos have an abundance of data; their challenge is how [...]

3011, 2017

Esgyn Corporation and Zaloni Partner to Make Data Lakes More Powerful and Deliver Benefits Faster!

November 30th, 2017|

Esgyn Corporation and Zaloni Partner to Make Data Lakes More Powerful and Deliver Benefits Faster! MILPITAS, CA & DURHAM, NC – Nov 30, 2017 – Esgyn Corporation, a leader in Converged Big Data solutions that empower enterprises to realize the potential of Big Data, has partnered with Zaloni, a leading provider of Big Data management and governance solutions to provide a solution that combines the power of EsgynDB with Zaloni’s Data Lake Management Platform, giving enterprises the tools they need [...]

2305, 2017

Esgyn and Striim Partner to Make Offloading Workloads from Expensive Transactional Systems to Hadoop Quick and Easy

May 23rd, 2017|

Esgyn and Striim Partner to Make Offloading Workloads from Expensive Transactional Systems to Hadoop Quick and Easy MILPITAS, CA & PALO ALTO, CA – May 23, 2017 – Esgyn Corporation, the leader in Converged Big Data solutions that empower global enterprises to realize the potential of Big Data, has partnered with Striim, provider of an end-to-end, real-time data integration and streaming analytics platform, to deliver a solution that combines the power of EsgynDB with Striim’s Change Data Capture (CDC) [...]

1905, 2017

Esgyn and Ampool Partner to Bring In-Memory Optimized Operational, Transactional and Real-Time Analytics to Hadoop

May 19th, 2017|

Esgyn and Ampool Partner to Bring In-Memory Optimized Operational, Transactional and Real-Time Analytics to Hadoop MILPITAS, CA – May 18, 2017 – Esgyn Corporation, the leader in Converged Big Data solutions that empower global enterprises to realize the potential of Big Data, has partnered with Ampool to deliver a product that combines the power of EsgynDB with Ampool’s Active Data Store (ADS). Enterprises aspire to provide personalized real-time customer experiences, yet have a bewildering array of technologies to choose [...]

2009, 2016

Esgyn at Strata + Hadoop World NYC September 2016

September 20th, 2016|

Strata Conference - A Great Place to be for Hadoop Technologists During the last week of September, New York City will witness important events for Hadoop enthusiasts. Strata + Hadoop World 2016 and Apache HBaseCon East are being held in New York City. Esgyn will be there in full force. Here is a quick rundown on what we are up to and we would love to see you there.  We can reserve a time slot for a [...]

709, 2016

Esgyn Launches Enterprise-Class Converged Big Data Platform for Transactions, Operational Data Stores, and BI/Analytics with EsgynDB 2.1

September 7th, 2016|

Introducing EsgynDB 2.1 Esgyn Adds Support for Columnar Storage, Expands Enterprise Features and Launches Technical Preview of Apache Spark integration to Empower Enterprises with Operational Big Data Milpitas CA – September 7, 2016 - Esgyn Corporation, the provider of the industry’s most mature, Enterprise-class, MPP SQL Engine for Big Data, has announced the general availability of EsgynDB Release 2.1.  Esgyn is a pioneer in enabling enterprises to step into the emerging world of Operational Big Data. Operational Big Data is a new [...]

2107, 2016

Rohit Jain, CTO of Esgyn Presenting at Data Day Seattle, July 23 2016

July 21st, 2016|

Attending Data Day Seattle? Esgyn will be in full force to meet and discuss your Big Data challenges and how we can help you at Data Day Seattle. We are also excited that Rohit Jain, CTO of Esgyn Corporation will be speaking at the conference. Send us an email at marketing@esgyn.com to schedule a time with Rohit to discuss your specific situation. In Search of Database Nirvana – The Challenges of Delivering Hybrid Transaction/Analytical Processing Rohit Jain, Co-founder & [...]

1705, 2016

Learn About Apache Trafodion at HBaseCon 2016

May 17th, 2016|

Attend Esgyn CTO Rohit Jain's HBaseCon 2016 session next Tuesday at 4:30pm to learn how Apache Trafodion has what it takes to run hybrid transaction/analytic processing (HTAP) workloads on Hadoop.

1902, 2016

Discover EsgynDB at Strata

February 19th, 2016|

See demos of EsgynDB powered by Apache Trafodion in booth 625 at Strata + Hadoop World, March 29-31 in San Jose, CA. Attend Esgyn CTO Rohit Jain's presentation In Search of Database Nirvana: The Challenges of Delivering HTAP.

2201, 2016

EsgynDB achieves Hortonworks Certication

January 22nd, 2016|

EsgynDB 2.0.1 is certified with HDP 2.3. It has been given the YARN-ready badge (based on Hive integration) and the Security-ready badge.

812, 2015

EsgynDB 2.0 Release

December 8th, 2015|

Esgyn just released EsgynDB 2.0. This new version provides multiple Data Center support (active /active), a key differentiation to bring Transactions on Hadoop into production environments. A complete list of the new features available in this release is available here. At the same time, Esgyn issued a press release to share the first Customers success stories with ADP, Webroot and Kuwo. The press release is available here.  

1610, 2015

Apache Trafodion DBMS article on Bloor

October 16th, 2015|

Bloor Research writes about Trafodion: This new database project, Trafodion (which is Welsh for "transactions"), is offering SQL on Hadoop (with full ACID properties, which are sometimes compromised in new and "affordable" databases). This promises, amongst other things, to let you run both operational transaction processing workloads and "big data" analytics against the same Hadoop datastore environment.