Amazon Keyspaces (for Apache Cassandra) now supports Logged Batches

Amazon Keyspaces (for Apache Cassandra)

Now supports Logged Batches, enabling you to perform multiple write operations as a single atomic transaction. This ensures that either all operations (INSERT, UPDATE, DELETE) within a batch succeed or none of them do, maintaining data consistency across multiple rows and tables within a keyspace. This capability is particularly valuable for applications that require strong data consistency, such as financial systems, inventory management, and user profile updates that span multiple data entities.

Logged Batches provide the same atomicity guarantees as Apache Cassandra while eliminating the operational complexity of managing transaction logs across distributed clusters. It’s designed to scale automatically with your workload and maintain consistent performance regardless of transaction volume. The feature integrates seamlessly with existing Cassandra Query Language (CQL) statements, allowing for adoption in both new and existing applications.

Logged Batches are available today in all AWS Commercial and AWS GovCloud (US) Regions where Amazon Keyspaces is available. You pay only for the standard write operations processed within each batch.

What to do

• Update your applications to use Logged Batches for improved data consistency.
• Refer to the Amazon Keyspaces documentation for implementation details.

Source: AWS release notes

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