The MongoDB document-oriented NoSQL database has reached version 2.2, with a set of new enhancements including an advanced aggregation framework and new multi-datacenter deployment features.
Bidding hard to try and become the application developer's database of choice, MongoDB maker 10gen emphasizes the real-time analytics and reporting functions of the aggregation framework and the multi-datacenter flexibility as key benefits for developing at scale.
10gen's claim is direct and bold; the company says that MongoDB 2.2 can accelerate performance of analytics and reporting up to 80 percent compared to using MapReduce. Further aggregation framework benefits are also highlighted including new operators, new expressions, and a pipeline-processing framework.
In terms of the new multi-datacenter features, MongoDB 2.2 now offers "tag-aware sharding" and replication to enable location-aware data storage policies for improved performance in wide-area multi-datacenter configurations as well as facilitation of other use cases such as use of heterogeneous hardware tailored to different document types.
NOTE: By using "tag aware" sharding and balancing, users can ensure that data in a sharded database system is always on specific shards. This can be used to ensure data is geographically close to the systems that use it. Users can also restrict sharded collections to only a few shards, therefore federating a set of shards for different uses.
"MongoDB 2.2 features a new locking architecture that improves performance for workloads that require frequent disk I/O operations. Users will see faster, more predictable performance from MongoDB deployments, particularly in deployments where disk I/O speed is a limiter," said Eliot Horowitz, 10gen co-founder and CTO.
"We think that moving to NoSQL should make you a more productive software engineer, and features like the aggregation framework deliver on that promise," he added.