Database
RecognitionAmazon Keyspaces
Managed Cassandra-compatible store evaluated from partition-key access patterns and scale requirements.
Key points
- Keyspaces provides a managed Cassandra-compatible wide-column store with partition-key access.
- Schema and partition choices must distribute requests and match the existing Cassandra-oriented query model.
Best-known use cases
- Move Cassandra-compatible workloads to a managed wide-column store.
- Store high-volume time-series data accessed by partition key.
What candidates often confuse it with
- Keyspaces preserves Cassandra compatibility; DynamoDB uses AWS-native key-value and document APIs.
Key takeaway
Choose Keyspaces for Cassandra-compatible workloads whose requests align to a scalable partition-key model.
Relevant exam tasks
- D2.1 — Task 2.1: Choose a data store
- 2.1.1 — Implement the appropriate storage services for specific cost and performance requirements (for example, Amazon Redshift, Amazon EMR, AWS Lake Formation, Amazon RDS, Amazon DynamoDB, Amazon Kinesis Data Streams, Amazon Managed Streaming for Apache Kafka [Amazon MSK]).
- 2.1.2 — Configure the appropriate storage services for specific access patterns and requirements (for example, Amazon Redshift, Amazon EMR, Lake Formation, Amazon RDS, DynamoDB).