Industry News Desk
Moving Big Data Gets a Push with the Release of DataDirect Connect
Drivers enable organizations to enhance modern data-driven Java applications
By: Liz McMillan
Mar. 22, 2012 06:45 AM
Progress Software Corporation made available the latest version of its JDBC drivers, Progress DataDirect Connect for JDBC 5.0. The standards-based, fully interoperable drivers enable organizations to enhance modern data-driven Java applications by expanding their feature set, performance, and scalability without making application code changes.
Raymond Russo, Optum Development Manager at Impact Intelligence, verified driver performance: “After considerable testing, we found that the Progress DataDirect Connect for JDBC driver was able to insert a very large number of records into our database as quickly as possible using the advanced Bulk Load feature. This feature increased our time to transfer by 20 – 25 percent.”
New features available in DataDirect Connect for JDBC 5.0 drivers include:
“With the 5.0 release, users can move more data more efficiently because the drivers have built-in, wire-level high-performing bulk load capabilities which allow them to load data directly – and therefore more quickly - into the database,” said Jesse Davis, director of DataDirect research and development at Progress Software. “In a virtualized environment, performance and efficiency allow applications to do more with less hardware, saving companies time and money,” said Davis.
Progress Software is the software industry’s leading comprehensive provider of software for connecting the world’s most critical business applications to data and services, running on any platform, using proven and emerging standards. Developers worldwide depend on Progress® DataDirect® products to connect applications to an unparalleled range of data sources using standards-based interfaces such as ODBC, JDBC, ADO.NET, XQuery and SOAP. More than 300 leading independent software vendors and thousands of enterprises rely on Progress Software to simplify and streamline data connectivity for distributed systems and to reduce the complexity of mainframe integration.
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