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Amazon Keyspaces vs Google Cloud Bigtable

What both publish

FactAmazon KeyspacesGoogle Cloud Bigtable
AvailabilityMulti-Region deployments offer up to 99.999% availability, and table data is replicated three times across multiple Availability Zones.Google says multi-region instances offer 99.999% availability and protection against a regional failure.
Free planNoNo
IntegrationsThe service integrates with Amazon CloudWatch for performance metrics and supports streaming changes to Amazon OpenSearch Service.The product page lists integrations with Apache Spark, Hadoop, GKE, Dataflow, Dataproc, Vertex AI Vector Search, BigQuery, and LangChain.
ProductAmazon Keyspaces is a scalable, highly available, managed Apache Cassandra-compatible database service.Bigtable is a fully managed, low-latency NoSQL database service for machine learning, operational analytics, and user-facing applications.
SecurityCustomer data is encrypted at rest by default, with AWS-owned or customer-managed keys available through AWS Key Management Service.Security controls include customer-managed encryption keys with Cloud External Key Manager support, IAM, VPC Service Controls, Access Transparency, Access Approval, audit logging, and table-, column-, or row-level access control.

Amazon Keyspaces plans

  • On-demand capacity—
  • Provisioned capacity—
  • AWS Free TierFree
  • Database Savings Plans—
  • Amazon Keyspaces — on-demand capacityPriced on request
  • Amazon Keyspaces — provisioned capacityPriced on request

Google Cloud Bigtable plans

  • Enterprise$0.65 a month
  • Enterprise Plus$0.85 a month
  • Data BoostFree
  • Standard backup storage$0.03 a month
  • HDD storage$0.03 a month
  • Hot backup storage$0.12 a month

Pick Amazon Keyspaces if…

It suits teams building Cassandra-compatible applications, including low-latency services, IoT data systems, game player profiles, or time-series workloads. It may also fit teams migrating Cassandra workloads that want a managed service.

Pick Google Cloud Bigtable if…

Bigtable may fit teams handling larger low-latency workloads for machine learning, analytics, or user-facing applications. Its multi-region setup and database migration options may also suit teams with those needs.

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