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Press Release

SGI Announces Support and Record Benchmarks for VoltDB Database

High Performance SGI® Rackable™ Cluster Delivers Over Three Million Transactions per Second

FREMONT, CA. — October 12, 2010 — SGI (NASDAQ: SGI), a trusted leader in technical computing, today announced support and record benchmarks for open-source VoltDB SQL database version 1.1. SGI® Rackable™ scale-out cluster delivered over three million transactions per second with near linear scalability running the VoltDB "Voter" application. VoltDB's "Voter" simulates the high-frequency and large transaction volumes experienced by Internet- and cloud-based financial trading, social networking, ad-serving, online gaming and telecommunications companies.

VoltDB is the next-generation open-source SQL database management system (DBMS) built for online transaction processing (OLTP) applications. Its performance advantage stems from an in-memory, distributed database partitioning concept optimized to run on today's memory-rich servers with multi-core CPUs.

"We are pleased with the excellent scaling and performance results of VoltDB running on our hardware and system software stack," said Christian Tanasescu, vice president of software engineering at SGI. "SGI's Rackable cluster running VoltDB 1.1 directly translates into a clear price and performance advantage for Internet-based companies having to process massive amounts of transactions at any given moment."

VoltDB automatically "shards" the database into data partitions and distributes each partition—along with an SQL engine for processing—to a different CPU core in the SGI Rackable cluster. Each high-frequency Intel® Xeon® processor with 8MB L3 cache executes its VoltDB database transaction queue at in-memory speeds. VoltDB automatically maintains data consistency across all nodes in the cluster and replicates data throughout the SGI Rackable cluster to provide high availability year-round.

"Organizations no longer have to struggle with database scalability limitations, or give up SQL and data consistency to overcome them," said Scott Jarr, president and CEO of VoltDB. "VoltDB and the SGI Rackable cluster are a natural match for developers and customers who require the best database price and performance using scale-out hardware."

Benchmark System Information
The SGI Rackable C1001-TY3 cluster used for this benchmark was comprised of 30 server nodes and six client nodes, each with 2x Quad-Core Intel® Xeon® processors W5590 and 24GB@1333MHz memory, running Red Hat Enterprise Linux 5.4 and SGI Management Center 1.2. The benchmark application software was written in Oracle Java HotSpot 1.6, accessing the VoltDB 1.1 database. Specifically, VoltDB leveraged the high throughput and low latency of the SGI Rackable C1001-TY3 cluster to deliver an aggregate of 3.4 million TPS (transactions per second) with a constant 10ms latency and a perfect linear scaling factor of 0.86/node on a 30-node cluster. Each server in the cluster delivers a throughput of 120,000 TPS.

About SGI
SGI, a trusted leader in technical computing, is focused on helping customers solve their most demanding business and technology challenges. Visit for more information.

About VoltDB, Inc.
Founded in 2009 by RDBMS pioneer Mike Stonebraker, VoltDB eliminates transactional performance and scalability barriers by delivering a breakthrough DBMS solution that combines in-memory processing, a shared-nothing scale-out architecture and unique high-availability operations. Unlike NoSQL alternatives, VoltDB leverages the proven benefits of SQL and ACID transactions to deliver web-scale performance while reducing user application code and complexity. Visit for more information.

Contact Information:

Schwartz Communications, Inc.
Gina Titus

For VoltDB Inc.
Fred Holahan

© 2010 SGI. SGI and Rackable are registered trademarks or trademarks of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. VoltDB is a registered trademark of VoltDB, Inc. All other trademarks are property of their respective holders.