Which AWS service is a managed, Cassandra-compatible database suitable for Cassandra workloads?

Which AWS service is a managed, Cassandra-compatible database suitable for Cassandra workloads?

• A. Amazon DynamoDB
• B. Amazon Keyspaces (for Apache Cassandra)
• C. Amazon DocumentDB
• D. Amazon Neptune

Answer: (B)

Amazon Keyspaces (for Apache Cassandra) is designed for Cassandra workloads by providing a managed, Cassandra-compatible database in AWS. You interact with it using the Cassandra Query Language (CQL) and Cassandra drivers, so existing Cassandra applications can connect with minimal or no code changes. It scales automatically and offers a serverless/on-demand capacity model, so you don’t have to provision nodes or manage clusters; you pay for what you use. DynamoDB, while fully managed, uses its own API and data model and isn’t Cassandra-compatible. DocumentDB supports MongoDB workloads, not Cassandra. Neptune is a graph database with RDF/Gremlin APIs, not Cassandra. So for Cassandra workloads, the best-fit service is Amazon Keyspaces.

Amazon Keyspaces (for Apache Cassandra) is designed for Cassandra workloads by providing a managed, Cassandra-compatible database in AWS. You interact with it using the Cassandra Query Language (CQL) and Cassandra drivers, so existing Cassandra applications can connect with minimal or no code changes. It scales automatically and offers a serverless/on-demand capacity model, so you don’t have to provision nodes or manage clusters; you pay for what you use.

DynamoDB, while fully managed, uses its own API and data model and isn’t Cassandra-compatible. DocumentDB supports MongoDB workloads, not Cassandra. Neptune is a graph database with RDF/Gremlin APIs, not Cassandra. So for Cassandra workloads, the best-fit service is Amazon Keyspaces.