SAN MATEO, August 8, 2012 and Cassandra Summit 2012 – DataStax™, the commercial company behind Apache Cassandra™, announced today a partnership with Simba Technologies, the industry’s ODBC expert for Big Data solutions, to provide an ODBC 3.52 Hive connector to DataStax Enterprise, the massively scalable NoSQL platform built on Apache Cassandra that is architected to manage real-time, analytic and enterprise search data in the same database cluster.
“DataStax is delighted to partner with Simba to connect enterprise analytics applications and business intelligence platforms to DataStax Enterprise,” said Martin Van Ryswyk, Vice President of Engineering at DataStax. “We are bringing a new world of real-time Big Data management to traditional technologies, applications and platforms.”
“Simba has delivered numerous ODBC 3.52 drivers for cloud analytics, Big Data and BI vendors globally, and has provided technology, expertise and guidance to countless others,” said George Chow, Simba’s CTO. “Simba’s Hive ODBC 3.52 driver technology enables DataStax customers to easily gain direct access to enterprise applications for full visibility into business performance and confident decision making.”
ODBC is the most common data interface used by BI, data analysis and reporting applications for relational data connectivity. It was developed in 1992 by Microsoft and Simba Technologies and has been the flagship API for SQL ever since.
Key benefits of the Simba ODBC 3.52 Hive connector for DataStax Enterprise include:
- Integration with desktop business intelligence applications and traditional database platforms;
- Integrations into Hadoop batch analysis tools;
- Available as a commercial add-on to DataStax Enterprise;
- Direct business intelligence application connectivity to DataStax, negating data extraction;
- Compliance with the latest ODBC 3.52 data standard, including support for Unicode and 32- and 64- bit environments for the broadest application connectivity;
- Compatibility with traditional BI applications with SQL-92 to HiveQL mapping with optional HiveQL pass-through for increased performance;
- Built upon Simba’s proven, shipping ODBC 3.52 driver technology for Hive and backed by Simba’s reputation as the expert in ODBC.
The Simba ODBC 3.52 Hive connector for DataStax Enterprise is available from DataStax today. For more information, contact DataStax sales at email@example.com.
DataStax offers products and services based on the popular open-source database, Apache Cassandra™, which solve today’s most challenging big data problems. DataStax Enterprise combines the performance of Cassandra with analytics powered by Apache Hadoop and enterprise search with Apache Solr, creating a smartly integrated, big data platform. With DataStax Enterprise, real-time, analytic, and search workloads never conflict, giving you maximum performance with the added benefit of only managing a single database.
The company has more than 200 customers, including leaders such as Netflix, Pearson Education, Rackspace and Constant Contact, and spans verticals including web, financial services, telecommunications, logistics and government. DataStax is backed by industry leading investors, including Lightspeed Venture Partners and Crosslink Capital, and is based in San Mateo, CA.
About Simba Technologies Inc.
Simba Technologies (www.simba.com) is the recognized world leader in standards-based data access and analytics products, solutions and services for both relational and multi-dimensional data sources. Simba provides data connectivity solutions to many of the world’s leading companies on various platforms, including Windows, Mac, UNIX, Linux and many mobile device platforms. Simba’s data connectivity products support multiple interfaces, including ODBC, JDBC, OLE DB, OLE DB for OLAP (ODBO), XML for Analysis (XMLA), ADO, ADO.NET, ADOMD and ADOMD.NET.
Simba’s software is used worldwide. Its customers include leading independent software vendors and global enterprises like DataStax™, Alteryx®, Host Analytics®, Infor®, Microsoft®, Oracle®, SAP® and Teradata®.
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