MongoDB Evolved – Version History

2021-2022 — MongoDB 5.0 and Rapid Releases

• MongoDB 5.x with native time series collections optimized for IoT and financial apps; live resharding so you can change your shard key on-demand with no database downtime; distributed cross-shard JOINs and graph traversals for sophisticated analytics against live data, faster initial sync via file copy, new aggregation operators, and more.

• The MongoDB Stable API future-proofs your applications. You can upgrade to the latest MongoDB releases without the risk of backward-breaking changes

• Atlas Serverless instances (preview) automatically and dynamically scale to meet your workload and you pay only for the resources consumed

• The MongoDB Atlas Data API (preview) provides a fully managed, REST-like API for accessing your Atlas data without the need for database drivers.

MongoDB release notes

2020 — MongoDB 4.4

• MongoDB 4.4 offering richer aggregations with UNION; streaming replication reducing data synchronization latency across a distributed database cluster by up to 50% ; hedged and mirrored reads for consistent low latency in the face of infrastructure failures

• MongoDB Atlas Online Archive to automatically tier aged data from your database to fully managed, queryable object storage, optimizing scalability, performance, and cost

• Realm Mobile Database & Sync, delivering best-in-class experiences at the edge of the network with an embedded mobile database and automated sync to MongoDB Atlas in the cloud, keeping data updated across users, devices, and your backend.

• MongoDB Atlas multi-cloud clusters providing the ability to distribute data in a single cluster across multiple public clouds simultaneously, or move workloads seamlessly between them

MongoDB release notes

2019 — MongoDB 4.2

• MongoDB 4.2 bringing distributed, cross-shard ACID transactions for data integrity at global scale; client-side field level encryption providing some of the strongest privacy controls anywhere; on-demand materialized views for blazing fast analytics

• MongoDB Atlas Search, combining the power of Apache Lucene with the Atlas platform, making it easy to build fast, relevant, full-text search on top of your data in the cloud.

• MongoDB Atlas Data Lake, enabling you to quickly and easily query data in any format on Amazon S3 using the MongoDB Query API

• MongoDB Operator for Kubernetes and MongoDB Connector for Apache Kafka, simplifying MongoDB integration into your application estate.

MongoDB release notes

2018 — MongoDB 4.0

• MongoDB 4.0 with multi-document ACID transactions, making it even easier to address a complete range of use-cases with MongoDB and simplifying legacy database migrations

• MongoDB Atlas Global Clusters, creating fully managed, globally distributed database deployments for low latency reads and writes anywhere, and data placement controls for regulatory compliance.

• MongoDB Atlas enterprise security controls with LDAP integration; bring-your-own KMS for encrypting data at-rest; and granular event audit logging

• MongoDB Charts providing a modern data visualization and analytics tool that allows you to easily create, share, and embed visualizations from Atlas and Atlas Data Lake

MongoDB release notes

2017 — MongoDB 3.6

• Fully-managed MongoDB Atlas database service expanded from AWS to Azure and Google cloud, providing unmatched data distribution across all of the leading cloud providers

• MongoDB 3.6 with change streams to build always-on, real time, reactive applications and retryable writes enabling developers to build more resilient apps with less client-side code

• Further improved data integrity with schema validation to enforce a schema against your data

• Implementation of a global logical clock to enforce consistent time across every operation in a distributed cluster, further improving data integrity and resilience, along with causal consistency guarantees for read-your-own write consistency

MongoDB release notes

2016 — MongoDB 3.4

• Fully-managed MongoDB Atlas database service launched on AWS, providing built-in automation for resource and workload optimization and always-on security, backed by a 99.995% uptime SLA

• MongoDB 3.4 with $graphLookup for native graph processing to identify patterns in connected data; the decimal data type for high precision processing of financial and scientific data; and read-only views to filter and mask data

• Zoned sharding to localize data within specific regions and 10x faster data rebalancing across elastically-scaled database clusters

• MongoDB Connector for Apache Spark providing seamless integration into data science and AI workflows

MongoDB release notes

2015 (Late) — MongoDB 3.2

• MongoDB 3.2 with the Encrypted Storage Engine providing native at-rest encryption without the performance or management overhead of separate filesystem encryption; the In-Memory Storage Engine delivering extreme performance and predictable latency; and the $lookup aggregation pipeline stage to join documents from different collections and databases

• The launch of MongoDB Compass providing a GUI for MongoDB development and administration, and the MongoDB Connector for BI exposing MongoDB data for analysis and visualization via SQL

• Higher database resilience with faster failure detection and recovery via the RAFT-based replication consensus protocol

MongoDB release notes

2015 (Early) — MongoDB 3.0

• MongoDB 3.0 with the WiredTiger Storage Engine providing document level concurrency control and built-in compression for an order of magnitude more scalability

• MongoDB Ops Manager the self-hosted management platform that enables you to deploy, monitor, back up, and scale MongoDB on your own infrastructure with 95% lower operational overhead

• 50-member replica sets providing global data distribution

MongoDB release notes