HPCwire: ParAccel Intros Version 2.0 of Its Analytic Database

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June 30, 2009

ParAccel Intros Version 2.0 of Its Analytic Database

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The ParAccel Analytic Database 2.0 dramatically extends ParAccel's performance and simplicity advantage, and delivers sophistication and enterprise readiness previously unseen among the new generation of analytic databases and appliances

SAN DIEGO, June 30 -- ParAccel, Inc., today introduced version 2.0 of the ParAccel Analytic Database (PADB), the latest version of the company's high-speed, low-effort, massively parallel (MPP) columnar database management system (DBMS) for data warehousing and analytics. PADB 2.0 tackles the most complex business questions even faster by leveraging dozens of new features and enhancements, including patent-pending innovations in query optimization and SAN integration. PADB's new Omne query optimizer enables previously unseen levels of performance and sophistication in addressing demanding analytic workloads. In addition, PADB 2.0 offers breakthroughs in enterprise readiness and operational continuity for business critical applications.

Performance and Sophistication, with Appliance Simplicity

Customers look to ParAccel when they seek effortless, high-performance data warehousing and analytic processing. ParAccel customers do not face the schema limitations or indexing requirements that other databases impose, and PADB 2.0 further advances ParAccel's query sophistication leadership with Omne, a new analytic query optimizer that is uniquely columnar-, MPP- and compression-aware, and includes patent-pending capability to efficiently join unlimited numbers of tables. Omne also boasts advanced automatic query de-correlation, column pruning, and view-folding, as well as other techniques to efficiently process ad hoc and highly complex queries that can give companies an analytic advantage.

Also new in PADB 2.0, the patent-pending Blended Scan feature dramatically improves the performance of SAN-attached data warehouses by balancing I/O and storage across the compute nodes and the SAN. Blended Scan leverages all available spindles to achieve greater I/O throughput and CPU utilization.

PADB 2.0 includes dozens of other features that boost performance and sophistication such as scalar UDFs, to parallelize custom analytic functions; enhanced parallel load, to simplify fast data loading; window aggregates, to extend query complexity; and column encryption, to support sensitive data in industries like financial services and healthcare without sacrificing performance.

"Our data volumes are growing dramatically, and we need the ability to scale our systems to maximize performance while minimizing our costs," said Stephen Shaw, founder and CEO of Autometrics, a Software-as-a-Service (SaaS) provider of data quality management and business intelligence (BI) solutions. "The performance improvements we have witnessed with the ParAccel Analytic Database version 2.0 have been so impressive that we have accelerated its adoption into our next-generation SaaS marketing analytics solutions," he said. "The ParAccel Analytic Database provides a 'load-and-go' approach to scalable performance. We were up and running our queries using our existing tools -- without any tuning -- in a matter of hours."

"With the ParAccel Analytic Database 2.0, we completed a data validation project that was impossible before," added Christian Wright, Merkle Inc.'s chief technology officer (CTO). "By using PADB's Scalar UDFs, we were able to apply massive parallelism to scale out the execution of a particularly difficult fuzzy logic algorithm by running it inside the database."

The extreme performance of PADB 2.0 was further demonstrated in a record-shattering 30TB TPC-H benchmark (June 22, 2009, www.tpc.org) where it was 7 times faster and delivered 16 times better price performance than the prior leader, and it loaded data at a rate of nearly 9 terabytes per hour.

Enterprise Class Manageability and Availability with Uncompromising Performance

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