MongoDB’s Newest Release Expands its NoSQL Platform to a Wider Audience

MongoDB is releasing an enhanced version of its platform, giving the company the opportunity to expand its capabilities to more users.

“We’re opening up MongoDB to a bigger audience in the enterprise, which is to say that traditionally the people that have used MongoDB were developers building modern applications and, with this release, we are building specific tools and capabilities targeted at data scientists, business analysts, and the C suite in terms of integration to business intelligence and visualization tools,” said Kelly Stirman, vice president of strategy and product marketing at MongoDB. “We’re also expanding MongoDB to DBAs and operations teams with specialized interfaces that make it easier to run MongoDB at any scale.”

MongoDB 3.2 brings two new storage engines to the fold by offering the Encrypted Storage Engine and the In-Memory Storage Engine.

With Encrypted Storage Engine enterprises can now secure their data to defend against breaches that have short-term costs to their businesses by using end-to-end encryption of data in flight and at rest, coupled with robust access controls and auditing for forensic analysis. “This lets you address highly regulated industries like retail, financial services, healthcare, and government where data privacy and security is critical,” Stirman said.

While In-Memory Storage Engine will provide ultra-high throughput and low latency for essential applications such as fraud detection, ad tech, and user profile management. This engine supports all MongoDB features, and complements other storage engines in mixed deployments to ensure data durability. In addition to these advances, version 3.2 introduces MongoDB Compass, MongoDB Connector for BI, and Application Performance Monitoring Tool Integrations.

MongoDB Compass empowers users to quickly and securely explore their databases, visually construct queries, inspect records, and make smarter decisions about their deployments. Business analysts, data scientists, and executives can quickly explore and gain new insights from modern applications using the same BI tools they have installed on millions of devices to understand the data in their legacy systems with MongoDB Connector  for BI. With MongoDB 3.2, DBAs and ops teams are now able to operationalize MongoDB alongside their relational databases, preserving investments in skills and popular APM tools such as New Relic and AppDynamics.

Additionally the update simplifies MongoDB deployments and enhances critical features related to data governance.

For more information about MongoDB 3.2, visit