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. With Logged Batches, you can ensure 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.
Amazon Keyspaces (for Apache Cassandra) is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so you pay for only the resources that you use and you can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.
Logged Batches in Amazon Keyspaces 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. To learn more about Logged Batches, please visit our blog post or refer to our Amazon Keyspaces documentation.