Data Caching
Data Caching Eliminate Bottlenecks
Even the most efficient and optimized regional databases have periods when they simply cannot handle the high volumes of traffic being generated. If your distributed enterprise experiences these bottlenecks, it should look to data caching for help. When cached data can serve client requests, it reduces the load on the database, saving extra network bounce and allowing the database to more efficiently deliver the operations most critical in modifying the data set.
A Tried and Tested Data Caching Solution
Progress® ObjectStore® Enterprise will deliver a distributed and persistent data caching infrastructure for your real-time applications. ObjectStore Enterprise simplifies and accelerates development of enterprise applications that access relational data by offering administrators the choice of model-driven or schema-driven development. Supporting cross-platform deployment of high-performance applications written in Java, C++ or C#, ObjectStore Enterprise is widely used for development in BEA WebLogic®, IBM WebSphere® and the Microsoft® .NET framework. More than 100 companies in the Forbes Global 2000 have used ObjectStore Enterprise data caching to achieve breakthrough performance and greater developer productivity, while simultaneously reducing infrastructure and operational costs. Major customers include Adobe, Air France, Citigroup, Eurocontrol, FedEx, Motorola, NetJets, and Reuters.
Intelligent Data Caching's Many Benefits
Built-in intelligent caching ensures high performance. Runtime binding to database supports all major relational databases and prevents vendor lock-in, offering significant flexibility and cost savings. Continuous Cache Coordination maintains data integrity throughout a distributed caching environment. And cache clustering keeps applications up and running even during peak loads, delivering greater scalability and higher availability.
