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ACID Transactions in MongoDB

Multi-document ACID transactions make it easier than ever for developers to address the full spectrum of use cases with MongoDB. With snapshot isolation and all-or-nothing execution your applications maintain transactional data integrity, even across highly distributed sharded clusters.

The best way for you to work with your data

  • Flexible, rich data modeling with schema validation
  • JOINs, search, graph traversals, powerful aggregations, and on-demand materialized views
  • Native horizontal scale-out with sophisticated data routing controls
  • Multi-node durability with tunable semantics
  • Analytics and BI-ready
  • Encryption everywhere and enterprise-grade security integration
  • Mature management tools for ops automation, wherever your infrastructure is
  • Database as a service in every major public cloud
  • And...multi-document ACID transactions

Engineering Chalk and Talks

Hear from the engineers who implemented transactions in MongoDB
WiredTiger timestamps: enforcing correctness in operation ordering across the distributed storage layer. Hear from Dr. Michael Cahill, Director of Engineering for storage at MongoDB.
Local snapshot reads: allowing you to read from a single, consistent point in time across multiple network operations in a transaction. Hear from Tess Avitabile, MongoDB Lead Engineer on Replication.
Logical sessions: coordinating operations across a distributed cluster, presented by Jason Carey, Lead Engineer for platforms at MongoDB.
Global logical clock: establishing a global snapshot of data across a distributed cluster for transactional snapshot isolation. Hear from Misha Tyulenev, Staff Software Engineer for sharding at MongoDB.
Safe secondary reads: providing consistent reads against secondary replica set members, even while data is being rebalanced across a cluster. Hear from Dianna Hohensee, MongoDB software server engineer.
Retryable writes: allowing the MongoDB drivers to automatically retry transactions in the event of transient network errors or primary replica elections, while the server enforces exactly-once, all-or-nothing semantics. Learn more from Randolf Tan, senior software engineer at MongoDB.