Topics: AI | Data Science | Data Visualization | Deep Learning | Machine Learning | NLP | Python | R | Statistics

KDnuggets Home » News :: 2013 :: Oct :: News, Software :: Splice Machine Real-time transactional SQL-on-Hadoop Limited Release ( 13:n26 )

Splice Machine Real-time transactional SQL-on-Hadoop Limited Release

Company seeks evaluators to validate authentic use cases, test SQL coverage and benchmark performance; initial results show a 10x improvement in hardware price/performance over Oracle databases.

SAN FRANCISCO, Oct. 23, 2013 /PRNewswire/.

Splice MachineSplice Machine, provider of the only real-time transactional SQL-on-Hadoop database designed for Big Data applications, announced that it has launched its Limited Release program. As part of the program, the Company is seeking 50 evaluators to validate authentic use cases, test SQL coverage and benchmark performance, prior to releasing the product for general availability.

"As the only real-time, transactional SQL database built on Hadoop, our product allows application developers and database architects to have the scalability of Hadoop and HBase, the ubiquity of SQL as well as the transactional integrity of an RDBMS," said Monte Zweben, CEO and Co-Founder of Splice Machine. "Our current charter customers are seeing compelling results from our product and we're excited to extend our Limited Release program to 50 additional evaluators."

Splice Machine is currently being tested by its charter customers as a replacement for their Oracle, MySQL, or PostgreSQL databases. It is being used as the platform for real-time applications for customers in the consumer marketing, eCommerce, SaaS, and energy trading industries. Initial results have shown a 10x increase in price/performance, through a 30-50% decrease in response times on significantly less expensive hardware.

Splice Machine is looking to work with organizations that have one or more of the following situations:

  • An existing Oracle, IBM DB2, MySQL or PostgreSQL database that is not scaling or is too expensive
  • A Hadoop deployment that needs real-time SQL to unlock the data for data scientists
  • Are considering NoSQL solutions for scale out but would benefit from leveraging their existing SQL people, tools and applications

Companies must have a specific use case to address, preferably one that requires real-time updates, such as real-time applications or operational analytics. They must also use SQL trained resources. Experience participating in other early access programs, including open source products, is preferred, but is not required. Additionally, experience with Hadoop is preferred, but not required.

Read more.

Sign Up

By subscribing you accept KDnuggets Privacy Policy