DynamoDB Transactions enable secure and efficient multi-item operations, ensuring data consistency. Here’s a concise breakdown:

Data Integrity: Ensures all operations in a transaction either succeed together or fail together, preventing partial completion and data inconsistencies.

Key Components:

  • TransactWriteItems API: Allows batch write operations (Put, Update, Delete), ensuring either all or none of the operations are executed.
  • TransactGetItems API: Enables batch read operations, returning consistent and isolated snapshots of the data.


  • A maximum of 100 unique items per transaction
  • Maximum data size per transaction is 4 MB
  • No two actions can work against the same item in the same table within a transaction.

Use Cases:

  1. Maintaining uniqueness across attributes (e.g., account_id and email in a banking database).
  2. Atomic Aggregations (e.g., update posts counts for a user)
  3. Synchronized updates across multiple entities
  4. Version control your data

Best Practices:

  • Implement retries and error handling using exponential backoff.
  • If possible, break down large transactions into smaller ones for better throughput and a higher success rate.


  • Limited to a single region.
  • Transactional APIs are best when consistency is crucial; use batch APIs for processing large volumes without strict all-or-nothing requirements.

Whether you’re managing a supply chain, processing financial transactions, or operating a massive multiplayer online game, DynamoDB transactions can be helpful for data integrity.