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It begins with an enterprise-grade platform that can scale seamlessly to support anywhere from a two users to tens of thousands. Built on an enterprise framework, it lets you leverage high availability and high performance features like clustering and load balancing to scale seamlessly.
Fortunately, with Context!'s powerful cascading performance model you have the tools at your disposal to control performance at the most granular level possible. Limit the total number of rows any query can return, the maximum time Context! will wait before canceling a report, the maximum number of simultaneous reports from a database and more - all giving you the performance management you need to ensure your systems are always available and your users always happy.
Best of all, this performance control is also available at the meta-data level, giving your meta-data designers the ability to further restrict performance - if need be - creating a powerful 1:2 punch that helps you ensure system uptime.
Managing performance is also about making your reports fast! With Context! you can easily achieve this through our unique selective in-memory caching technique that lest you use your server RAM selectively to cache only the reports that need the extra power.
Enabling a true "self-service" business intelligence system can have its drawbacks. Giving all your users the access and reporting power they need can lead to the "query of death," a report so complex, so challenging that it brings your BI and your production systems to their knees. |
