BILLERICA, Mass., June 26, 2012 /PRNewswire/ -- VoltDB, Inc. (www.voltdb.com), a leading provider of NewSQL database management systems, today announced the results of recent benchmarks demonstrating record throughput and scaling for applications developed using the Spring Framework from SpringSource, a division of VMware. Running on standard Amazon EC2 servers, VoltDB's Spring Framework integration delivered more than 686,000 transactions per second at near linear scalability. The benchmark used VoltDB's "Voter" application, which simulates the high velocity transaction workloads experienced by many Web- and cloud-based applications including wireless, financial trading, digital media, online gaming and network monitoring.
Designed by RDBMS pioneer Michael Stonebraker, VoltDB is a distributed, in-memory database management system intended specifically to run on modern memory-rich servers with multi-core CPUs. VoltDB combines the proven power of relational processing with blazing speed, linear scaling, guaranteed data consistency and uncompromising database durability. The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications.
"SpringSource has garnered significant adoption among the Java developer community in recent years for its high productivity framework and development patterns," said Matt Aslett, research manager, data management and analytics, 451 Research. "By integrating its namesake in-memory database with the Spring Framework, VoltDB offers developers new opportunities for building high performance Java applications."
Benchmark Configuration and Operation
EC2 configuration: 20 node cc2.8xlarge cluster
Operating system: Ubuntu
VoltDB Enterprise Edition
VoltDB DBMS version: 2.2
Client-side benchmark script: 0.71 – 0.74 (d5df513)
The benchmark consisted of Java/Spring instances simultaneously executing Voter transactions against the VoltDB database. Each Java/Spring node processed transactions at throughput of about 86,000 transactions per second, and scaling was highly linear. The benchmark ultimately achieved aggregate throughput of more than 686,000 TPS.
"VoltDB continues to drive the standard for applications that require speed, scale, consistency and reliability" said Bruce Reading VoltDB President and CEO. "VoltDB delivers the lowest cost-per-transaction in the industry today and provides real economic value for our customers." Added Reading, "We are very pleased with the results of our performance running Spring-based applications in the Amazon cloud and are excited to continue working with leading developer communities. We believe the Spring Framework offers tremendous value to organizations deploying Java applications, and we are looking forward to working with and supporting the needs of SpringSource users worldwide."
VoltDB will be hosting a live webinar to discuss its Spring Framework integration and benchmark on July 12, 2012, at 2:00pm EDT. Details and registration information are available here.
Designed by DBMS pioneer Mike Stonebraker for organizations that have reached the price/performance limitations of traditional database management systems, VoltDB combines the proven power of relational processing with in-memory database speed, linear scalability and uncompromising fault tolerance. VoltDB is the NewSQL solution of choice for high velocity database applications that require 100% accuracy and realtime analytics.