MongoDB today announced the release of MongoDB 3.2, a breakthrough release that features two new storage engines, enhanced management offerings and expanded tools for exploring and analyzing data. This release’s enhanced management tools include improvements to Cloud Manager and Ops Manager that deliver a visual user interface for understanding the performance of queries. Customers can use Cloud Manager to identify which queries take longer to execute due to architectural or engineering-related reasons and considerations. Cloud Manager and Ops Manager both allow customers to add new indexes to improve query performance with a simple click of the mouse and the avoidance of application downtime. In addition, this release features new storage engines in the form of an encrypted storage engine as well as an in-memory storage engine, the latter of which brings the capabilities of expanded in-memory storage to facilitate high throughput and low latency for big data applications.
This release also includes a data exploration tool in the form of MongoDB Compass, an application that enables DBAs to use a graphical user interface to construct queries and perform deep dives into their databases to understand attributes such as data completeness and data quality. MongoDB Compass gives DBAs the ability to explore their databases toward the end of making smarter decisions about how they should be deployed and differentially managed by development teams, business analysts, data analysts and data scientists. In MongoDB 3.2, MongoDB Compass is accompanied by MongoDB Connector for BI, a tool that transforms MongoDB data into a format compatible with SQL-compliant tools such as Tableau, Cognos, Business Objects and Excel to empower customers to use popular BI tools to produce reports and analytics on their universe of data. Adding to MongoDB Connector for BI’s capability to integrate MongoDB data with SQL-compliant databases, this release also features integrations with popular application performance monitoring tools such as New Relic and AppDynamics to help customers optimize the performance of their deployments.
All told, MongoDB 3.2 marks yet another highly significant moment in the evolution of MongoDB with a release marked by a bevy of enhancements that render it easier for customers to understand and optimize the performance of their databases while seamlessly connecting them to other tools within the technology stack as well. As such, MongoDB 3.2 positions the platform more strongly than ever to manage production-grade workloads and integrate with the BI and application performance monitoring tools in the industry while using Cloud and Ops Manager to improve query performance without disruption to the application. The graphic below illustrates MongoDB 3.2’s ability to visualize query performance to facilitate their optimal performance either by way of enhanced indexes or other modifications to the database infrastructure.