Introduction When Cloudera and Hortonworks announced their merger, bloggers masquerading as pundits were quick to jump on their drums to claim that this spelled the slow demise of Hadoop in the face of the Cloud revolution. That Hadoop was too complex, and the Cloud solutions were easy for people to use. But this is [...]
About Rohit JainRohit Jain is Esgyn's Chief Technology Officer.Rohit has worn many hats in his career, including solutions architect, database consultant, developer, development manager and product manager. Prior to joining Esgyn, Rohit was a Chief Technologist at Hewlett-Packard for SeaQuest and Trafodion. In his 39 years in applications and databases, Rohit has driven pioneering efforts in Massively Parallel Processing and distributed computing solutions for both operational and analytical workloads.
At Esgyn we have seen many a customer wanting to transition applications from their Data Warehouse Appliance, such as Greenplum or Netezza, over to Hadoop. Many of these customers have already deployed Big Data applications on Hadoop, either on the Cloud, or on-prem with distributions from Cloudera or Hortonworks. Motivated by the: tremendous [...]
The best benchmark to assess the capabilities of a database for BI/Analytics workloads is the TPC-DS benchmark. While the deep integration with Apache ORC and performance tuning of EsgynDB for TPC-DS type workloads is still very early in its maturity cycle, the results are already very impressive. While for the operational benchmarks there was [...]
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 email@example.com to schedule a time [...]
A discussion on the four major ingredients in the recipe for a world-class database, and demonstrate how Trafodion measures up on those. You can then assess how other databases stack up against this world-class database.
Often, people ask us how Apache TrafodionTM (incubating) stacks up against databases like Oracle, IBM DB2, Microsoft SQL Server, Informix, MySQL, PostgreSQL, Teradata, and other relational databases on the one hand, and against SQL-on-Hadoop solutions like Impala, Tez, Hive, Drill, Presto, and others, on the other. Apache Trafodion is a world class database and [...]