Amazon Keyspaces vs Google Cloud Bigtable

Amazon Keyspaces is a managed database service compatible with Apache Cassandra. It is serverless, requires no infrastructure management, and scales automatically with application demand. The service supports the Cassandra Query Language API, existing application code, Cassandra drivers, and developer tools. Tables can use on-demand read and write capacity or provisioned capacity with optional auto scaling. AWS describes single-digit-millisecond read and write performance, with no limit on table size or row count. Multi-Region deployments offer up to 99.999% availability, and table data is replicated three times across multiple Availability Zones. Keyspaces integrates with CloudWatch for performance metrics and can stream changes to Amazon OpenSearch Service. Keyspaces Streams provides change data capture, while point-in-time recovery can restore table data to any second in the preceding 35 days. Data is encrypted at rest by default, with AWS-owned or customer-managed keys. The free tier lasts for the first three months after creating the first resource, is limited to one per payer account, and includes 30 million write request units, 30 million read request units, and 1 GB of storage.

Google Cloud Bigtable is a managed, low-latency NoSQL database for machine learning, operational analytics, and user-facing applications. It stores structured, semi-structured, and unstructured data in key-value and wide-column formats. SQL querying includes an API with more than 200 functions and support for aggregations, windowing, geospatial and JSON processing, and vector search. Compute scales horizontally, and instances can span up to eight regions with automatic replication between clusters. Google says multi-region instances offer 99.999% availability and protection against a regional failure. Integrations listed include Apache Spark, Hadoop, GKE, Dataflow, Dataproc, Vertex AI Vector Search, BigQuery, and LangChain. Bigtable provides Apache HBase and Cassandra APIs, plus migration tools for HBase, Cassandra, DynamoDB, and Aerospike. Security controls include IAM, customer-managed encryption keys, audit logging, and table-, column-, or row-level access control. Deployment is cloud-based. Google describes its capacity-based low-latency compute as more favorable for larger workloads than small applications. A 10-day trial is available subject to eligibility requirements.