SANTA CLARA, CALIFORNIA -- (Marketwire) -- 02/26/13 -- Strata 2013 Conference: Simba Technologies Inc., the leading provider of Big Data connectivity solutions announced today the release of its HBase ODBC Driver with SQL Connector, the support for HiveServer2 in its current Big Data ODBC driver suite, and the demonstration of Excel Pivot Tables on Cloudera's Impala via MDX.

Simba's Drivers and SDKs allow Independent Software Vendors (ISVs) and their customers to enable real time, high performance enterprise class connectivity and analytics for their reporting, data visualization and BI requirements like connecting to Excel Pivot Tables or any of the thousands of ODBC supported solutions. Simba's Big Data ODBC Drivers are the most advanced ODBC drivers available for direct SQL access to NoSQL databases. They are used by market leaders such as Alteryx, DataStax, Hortonworks, MapR, Google, Tableau and others.

Industry Firsts:

--  Simba's HBase ODBC Driver with SQL Connector 
--  Demo of Excel Pivot Tables on Cloudera's Impala via MDX Queries 
--  Updated Simba Hive ODBC Driver for Hive 0.10 including support for
    HiveServer2 

"If you want BI and analytics on your Big Data, Simba makes it happen," said Amyn Rajan, Simba's CEO. "Simba's Big Data ODBC Drivers enable SQL access to any NoSQL Big Data source on any platform. They are the most advanced, BI-ready Big Data ODBC drivers available. Our demonstration of MDX queries over Impala is an industry first, again highlighting our leadership in advanced analytics enablement."

Unlike other Big Data drivers, Simba's Big Data ODBC Drivers perform the added task of mapping advanced SQL functionality to native Big Data Application Programming Interfaces (APIs) to provide users with seamless integration between their favored SQL-based BI application and their Big Data source. If applications support query functionality within the NoSQL data source, Simba's Big Data ODBC Drivers are configurable to pass queries through for added efficiency. Whenever possible, the drivers utilize Simba's Collaborative Query Execution (CQE) to pass down filters and aggregations for added performance. Simba's Big Data ODBC Drivers fully comply with the ODBC 3.52 data standard and add important functionality such as Unicode and 32- and 64-bit support for high-performance computing environments on all platforms, including Windows, RedHat, SUSE, Solaris, AIX, HP-UX and Mac OS X.

For more information about Simba's Big Data ODBC Drivers, visit: www.simba.com/bigdata.

SimbaProvider OLAP SDK is the leading Software Development Toolkit (SDK) for creating OLE DB for OLAP (ODBO) and XML for Analysis (XMLA) connectivity to multi-dimensional and star-schema relational data sources, and was used to demonstrate the MDX over Impala demonstration.

For more information about Simba's OLAP solutions, visit: http://simba.com/olap-sdk.htm.

About Simba Technologies Inc.

Simba Technologies (www.simba.com) is the recognized world leader in standards-based data access and analytics products and solutions 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 Alteryx®, Datastax®, Hortonworks®, Infor®, MapR®, Microsoft®, Oracle®, SAP® and Teradata®.

About Strata 2013

O'Reilly Strata Conference explores the changes brought to technology and business by big data, data science and pervasive computing. It brings together decision makers using the raw power of Big Data to drive business strategy, and practitioners who collect, analyze and manipulate that data-particularly in the worlds of finance, media and government. For more information, visit: http://strataconf.com/strata2013/.