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 with MongoDB 4.0, multi-document ACID transactions.
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?
- Multi-document ACID transactions, making it even easier to address a complete range of use-cases with MongoDB
- 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, graph traversals, 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.