MongoDB Upgrades to Version 3.2; Ready to Power Wider Range of Apps

By CIOReview | Tuesday, November 10, 2015
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NEWYORK, NY: MongoDB, the cross-platform document-oriented database, recently announced their upgrade to MongoDB 3.2. This version offers easier management of mission-critical infrastructure and flexibility without compromising data quality.

 

The upgrade introduces two new storage engines, the encrypted storage engine and the in-memory storage engine, that extend the capabilities of the database, allowing the choice of optimal technologies for different workloads in an organization. While the former provides security by doing end-to-end encryption of data coupled with robust controls and auditing for forensic analysis, the latter provides highly predictable throughput and low latency for essential applications.

MongoDB 3.2 can run multiple storage engines in a deployment and leverage the same query language, scaling methods and operational tooling across them to significantly reduce development and operational complexities. It delivers major advances in the critical areas of data governance, high availability, and disaster recovery. Ensuring data quality and maintaining continuous service availability are essential as an increasing number of organizations move their mission-critical apps to MongoDB.

With MongoDB deployed across a wider range of an enterprise's application portfolio, data analysts, DBAs and operations teams need to integrate the database within their existing processes and toolsets.

MongoDB Compass – It provides swift and safe exploration of their databases, visually constructing queries, inspecting records and making smarter decisions about their deployments. 

MongoDB Connector for BI - Business analysts, data scientists and executives receive better insights from modern applications leveraging the same BI tools that are installed on multiple devices.

Application Performance Monitoring Tool Integrations - DBAs and operations teams have now made MongoDB operational apace with their relational databases, preserving investment in skills and popular APM tools like AppDynamics.