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Oracle TimesTen In-Memory Database Opens the Throttle on Real-Time Analytics

For thousands of customers around the world, Oracle TimesTen In-Memory Database helps in finance, communications, and Web operations, and speeds online transaction processing (OLTP) applications. With this latest release, Oracle TimesTen In-Memory Database 11g Release 2 customers get significant performance improvements for OLTP, as well as new features that support analytic applications with real-time in-memory data management for lightning-fast response times.

“Oracle TimesTen In-Memory Database is a natural choice for customers that need extremely fast response times,” says William Hardie, vice president, Oracle Database product marketing. “Industries such as financial services, e-commerce, and telecommunications rely on this database not only for consistent response times, but to scale to meet demand during peak workloads. The new support for analytic queries increases the number of applications that Oracle TimesTen In-Memory Database can accelerate.”

Oracle TimesTen In-Memory Database is the only in-memory relational database that can process both OLTP and analytic workloads, and it gives customers the opportunity to use the large RAM capacity available in servers today. It is also a key component of the latest engineered system from Oracle—the Oracle Exalytics In-Memory Machine. Oracle Business Intelligence Foundation Suite uses Oracle TimesTen In-Memory Database to cache frequently accessed data and achieve the 20 times faster response times that enable speed-of-thought analysis.

Key features include
  • Parallel replication between Oracle TimesTen In-Memory Database instances and parallel cache data synchronization with Oracle Database 11g increases performance and scalability for real-time OLTP applications via enhanced data access interfaces for applications
  • Improved query processing and optimization boosts response time and overall throughput
  • New SQL aggregation and analytic functions, as well as optimized complex query processing
  • Improved compatibility with Oracle Database through support for native large object (LOB) data type support (BLOB, CLOB)
This release joins other recent announcements that further Oracle’s lead in real-time analytics. Oracle Advanced Analytics, a new solution for Oracle Database 11g that bundles Oracle R Enterprise with Oracle Data Mining. Bringing analytical algorithms to data stored in Oracle Database 11g and Oracle Exadata (as opposed to extracting data to outside machines) supports real-time analytics applications for vital business issues such as churn forecasting, fraud alerts, and product development decisions.

Learn more about Oracle TimesTen In-Memory Database and Oracle Advanced Analytics.

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