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TimesTen 7 – Oracle's First Major Release Is Unique, Significantly Faster
Oracle has released TimesTen 7.0, the first major release of the Oracle TimesTen database to be developed entirely within Oracle, following Oracle's acquisition of TimesTen in 2005.
"Responding in microseconds is essential in industries such as financial services, telecommunications, defense, and intelligence," says Jim Groff, senior vice president, Oracle. "The tight integration between Oracle TimesTen for real-time data management in the middle tier and Oracle Database for enterprisewide data management is absolutely unique in the industry."
Oracle TimesTen In-Memory Database 7 provides enhanced integration and caching with Oracle Database 10g to meet the instant response times and high-throughput requirements of real-time enterprises.
Key Enhancements
Oracle TimesTen 7 delivers several key enhancements to help customers capture, access, and manage information significantly faster, including:
- Data type compatibility – Familiar Oracle Database 10g data types are now available in Oracle TimesTen 7 for easier application development and caching data in memory
- New SQL features – Oracle TimesTen 7 includes enhanced SQL functionality, with similar semantics and behaviors as Oracle Database 10g
- Globalization functionality – More than 50 database character sets and 80 languages are now supported with Oracle TimesTen 7
- Automatic data aging and on-demand data loading – When used as a cache, data in Oracle TimesTen 7 can be dynamically loaded and automatically aged out of memory
- Cross-tier high availability – Data can be automatically synchronized across replicated Oracle TimesTen databases and Oracle Databases
The new real-time caching capabilities of Oracle TimesTen 7 support a wide variety of applications where instant access to specific types of data from an Oracle database is required. Oracle TimesTen 7 provides out-of-the-box support for the most common caching scenarios:
- Dynamic, on-demand caching – Often used in customer-facing applications to load data for a specific customer when they first arrive and add or update data as the interaction progresses. In a call-center or customer portal application, this helps speed access to information for the specific group of customers currently being served;
- Sliding time window caching – Useful in business intelligence and analytics applications, where the last 10 minutes of production data or the last 30 days of retail sales data are heavily used for real-time decision-making; and,
- Reference data caching – Useful for customer-facing Web sites or business process acceleration, where product catalogs, business rules and metadata are heavily accessed.
In each of these scenarios, Oracle TimesTen 7 automatically manages the data movement between the cache and the underlying enterprise Oracle database, simplifying application development. In addition, Oracle TimesTen 7 also supports Oracle Real Application Clusters (RAC), Oracle Fusion Middleware, Oracle SQL Developer and Oracle JDeveloper.
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