MongoDB Evolved
MongoDB first shipped in August 2009. Early versions of the product were focused on validating a new, and largely unproven approach to database design – distributed, non-relational, and built on the document data model. Those early releases attracted masses of real-world adoption across a whole range of startups and enterprises.
With early usage validating this new approach to building a modern database, MongoDB’s engineering focus moved to industrializing the database for use by the broader developer community, beyond bleeding-edge projects. Major enhancements in scalability, query functionality, and cloud services have followed. And there’s plenty more coming... MongoDB 4.0, scheduled for Summer 2018*, will add support for multi-document transactions. Learn more here.
Select the year you last looked at MongoDB, and get a summary of what’s new.
I last looked at MongoDB 2.2 in 2012. What’s changed?
- WiredTiger storage engine, document level locking, and built-in compression for an order of magnitude more scalability. Enterprise-grade security integration
- Aggregation pipeline, fully expressive joins, faceted search, graphs queries, and many new query operators to build powerful applications on a single data platform
- MongoDB Atlas, fully managed on-demand database as a service for MongoDB. Management tools for ops automation, wherever you run the database.
MongoDB 2.2 release notes
Multi-document ACID Transactions are coming to MongoDB
Combine the speed, power, and flexibility of documents with transactional guarantees
*Safe Harbour Statement: The development, release, and timing of any features or functionality described for our products remains at our sole discretion. This information is merely intended to outline our general product direction and it should not be relied on in making a purchasing decision nor is this a commitment, promise or legal obligation to deliver any material, code, or functionality.