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10gen’s MongoDB 2.2 Improves Analytics with Faster, More Predictable Performance

New features include real-time aggregation framework and multi-data center deployment for easier development and operating at scale.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

10gen has released MongoDB 2.2, a new version of its high-performance, highly scalable, document-oriented NoSQL database now with an advanced aggregation framework and multi-data center deployment among its more than 600 new features.

MongoDB 2.2 highlights include:

Realtime aggregation framework: Users want more ways to work with and access data as usage expands. The aggregation framework enables real-time queries on data, simplifies reporting, and provides the foundation for real-time analytics. MongoDB 2.2 can accelerate performance of analytics and reporting up to 80 percent compared to using MapReduce. Finally, the enhanced aggregation framework is significantly easier to use and execute than MapReduce and offers new operators, new expressions, and a pipeline-processing framework.

Multi-data center deployments: Organizations are increasingly global and require tighter control of data location in order to meet compliance, IT optimization, and performance requirements of the new extended enterprise. MongoDB 2.2 now offers tag-aware sharding and replication to enable location-based policy for improved performance, set data retention policy (health records do not leave the geography) and support heterogeneous hardware tailored to different document types.

Improved performance and concurrency: MongoDB 2.2 features a new locking architecture that improves performance for workloads that require frequent disk IO. Users will see faster, more predictable performance from MongoDB deployments, particularly on deployments involving slow disk drives.

Other operational and functional enhancements include time-to-live (TTL) collections, query optimizer improvements, windows service support, better usage of heterogeneous hardware, and reduced space fragmentation.

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