GemStone Systems introduced GemFire Database Accelerator (DBA) to significantly increase the performance and scalability of J2EE environments. GemFire DBA eliminates data bottlenecks associated with databases or any JDBC-compliant data source, reducing data latency and improving overall database performance with no modification to the application code.

GemFire DBA enables application developers and architects to employ an intuitive graphical user interface to identify expensive SQL queries and cache JDBC result-sets in a single Java Virtual Machine (JVM) or across a cluster of JVMs or application servers. By retrieving critical data from the in-memory cache, GemFire DBA avoids timely and unnecessary database round trips, dramatically improving the performance of Java and J2EE applications while simultaneously increasing database speed and scalability. GemFire DBA ensures the integrity of mission-critical data by immediately committing data to the database when an update occurs. Queries not found in the cache are immediately retrieved from the backend data source and stored in the cache before being returned to the user. Advanced in-memory replication and disk persistence mechanisms (both synchronous and asynchronous) ensure high availability and zero data loss, even in the event of a JVM failure.

"The ability to intelligently cache and distribute data and query result-sets is critical to effectively support heterogeneous operating environments via an Enterprise Data Fabric," said Shankar Iyer, executive vice president of GemStone Systems. "GemFire DBA provides advanced support for query result-set caching that complements the object, XML and relational data storage services provided by GemFire Enterprise and GemFire Real-time Events. DBA significantly enhances application performance and scalability of database intensive applications, delivering measurable value."

GemFire DBA is seamlessly deployed into existing infrastructures without the requirement of additional development. Featuring a JDBC 2.0 driver, GemFire DBA configures individual or patterns of queries and dynamically caches and distributes result sets in memory and/or disk across multiple nodes. DBA enables application performance to be tuned in real-time, dramatically reducing the load on backend databases.