The new performance advisor continuously highlights slow-running queries and provides intelligent index recommendations to improve performance. Atlas now also supports automatic scaling for storage associated with a cluster, making it easier for you to manage capacity. MongoDB 3.6 is available as a fully managed service on Atlas, including important new features to support global applications, and with automated scalability and performance optimizations.Ĭross-region replication allows Atlas clusters to span multiple cloud provider regions, maintaining continuous availability in the event of geographic outages, and providing optimal customer experience by distributing data closer to users. MongoDB Atlas is the best way to run MongoDB in the public cloud. MongoDB's Connector for BI, which enables MongoDB to be used as a data source in SQL-based analytics and data visualization tools, takes advantage of these enhancements to deliver higher performance, with more analytic operations pushed natively to the database. We introduced left outer equijoins in MongoDB 3.2, but now we are expanding this with a more powerful $lookup operator to support the equivalent of SQL subqueries and non-equijoins. But for analytics it’s useful to join data across multiple collections.
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MongoDB’s document data model allows you to model entities in the same way you represent them in code - as complete objects - so you don't need to worry about JOINs. These enhancements greatly reduce the risk of unsecured MongoDB instances unintentionally being deployed into production.Īggregation enhancements support more expressive queries, giving you faster access to data-driven insights. Combined with new IP whitelisting support, administrators can configure MongoDB to only accept external connections on approved IP addresses. And you’re able to tune this as you need: lock the schema down, open it up, apply it to a subset of fields – whatever you need for each app or stage of your project.īinding to localhost by default: with MongoDB 3.6 all MongoDB packages across all platforms refuse all external connections to the database unless explicitly configured otherwise by the administrator. Now, DevOps and DBA teams can define a prescribed document structure for each collection, down to the level of individual fields within nested arrays. With Schema validation, using syntax derived from the proposed IETF JSON Schema standard, we’ve extended the document validation capabilities originally introduced in MongoDB 3.2. Instead of you having to implement masses of custom, client-side code, MongoDB automatically retries write operations using exactly-once semantics. Retryable writes move the complexity of handling transient systems failures from the application to the database.
Change streams provide an easy and efficient way to build reactive, event driven apps. Whenever data is changed in MongoDB, downstream systems are automatically notified of the updates in real time. Key 3.6 features include:Ĭhange streams enable you to build reactive web, mobile and IoT applications that can view, filter, and act on data changes as they occur in the database. In short, MongoDB helps you go faster when building and scaling apps.
MongoDB 3.6 makes it easier than ever to work with data in the most natural, efficient, and frictionless way possible.
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MongoDB 3.6 is also available on MongoDB Atlas, so you can try out 3.6 or upgrade your existing Atlas clusters to 3.6.
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You can download the community version and MongoDB Enterprise Server today.
Following great community feedback on the 3.6 release candidates, we’re happy to say that 3.6 is now generally available and ready for production deployments. Het ontwikkelteam heeft versie 3.6.0 uitgebracht met de volgende aankondiging: Announcing the General Availability of MongoDB 3.6
De database leent zich dan ook prima voor grote omgevingen en kent gebruikers als eBay, SourceForge en The New York Times. De naam MongoDB is een afgeleide van het Engelse woord humongous. Het is een zogenaamde nosql-database, wat inhoudt dat het geen tabellen in een relationele database gebruikt, maar json-achtige documenten met dynamische schema's, iets wat MongoDB bson noemt. MongoDB is een cross-platform, document-oriented database.
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