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Amazon Keyspaces vs DataStax Astra DB

Amazon Keyspaces: Serverless, CQL-compatible Cassandra service on AWS with no clusters to manage. DataStax Astra DB: Serverless Cassandra-as-a-service with vector search and a JSON Data API, now owned by IBM.

key differences

  • Only Amazon Keyspaces has transactions, time travel.
  • Only DataStax Astra DB has secondary indexes, vector search, json, compression.

choose amazon-keyspaces for

  • +Moving existing Cassandra apps to AWS without ops
  • +Spiky workloads that suit on-demand pricing
  • +Serverless apps that need a CQL data model
  • +Industrial and IoT device data

best at · OLTP, IoT, Time-series

choose datastax-astra-db for

  • +RAG and semantic search backends
  • +Cassandra workloads moving to a managed service
  • +Multi-cloud, multi-region apps needing high availability
  • +Session and user-profile stores

best at · OLTP, Vector search, RAG

Amazon KeyspacesServerless, CQL-compatible Cassandra service on AWS with no clusters to manage.
DataStax Astra DBServerless Cassandra-as-a-service with vector search and a JSON Data API, now owned by IBM.
overview
Primary model
Wide-Column
Wide-Column
Also supports
Key-Value
Document, Vector, Key-Value
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
DataStax (IBM)
First release
2020
2020
Latest version
–
–
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (managed service)
Free tier
✓
✓
popularity
WhichDB Score
2.4
11.7
Rank
#477
#280
GitHub stars
–
–
Stack Overflow questions
122
136
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Active active
Active active
ACID
Limited
Limited
Consistency
Strong, Eventual
Tunable, Eventual
Schema
Strict
Flexible
Architecture
Distributed, Serverless
Distributed, Serverless
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS, Google Cloud, Azure
capabilities
Transactions
✓
—
Joins
—
—
Secondary indexes
—
✓
Full-text search
—
—
Vector search
—
✓
Geospatial
—
—
JSON
—
✓
Change data capture
✓
✓
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
—
✓
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
✓
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
CQL
CQL, Data API (JSON)
Client languages
Java, Python, JavaScript, Go, C#, Ruby
Java, Python, JavaScript, Go, C#
Best for
OLTP, IoT, Time-series, Metadata
OLTP, Vector search, RAG, IoT
Add more to this comparisonNot sure either fits? Try smart match

Amazon Keyspaces vs DataStax Astra DB: FAQ

What is the difference between Amazon Keyspaces and DataStax Astra DB?

Amazon Keyspaces: Serverless, CQL-compatible Cassandra service on AWS with no clusters to manage. DataStax Astra DB: Serverless Cassandra-as-a-service with vector search and a JSON Data API, now owned by IBM. Only Amazon Keyspaces has transactions, time travel. Only DataStax Astra DB has secondary indexes, vector search, json, compression.

When should I choose Amazon Keyspaces over DataStax Astra DB?

Choose Amazon Keyspaces for moving existing Cassandra apps to AWS without ops, spiky workloads that suit on-demand pricing and serverless apps that need a CQL data model. Choose DataStax Astra DB for RAG and semantic search backends; cassandra workloads moving to a managed service; and multi-cloud, multi-region apps needing high availability.

Is Amazon Keyspaces or DataStax Astra DB more popular?

DataStax Astra DB ranks #280 on the WhichDB Score (11.7/100) and Amazon Keyspaces ranks #477 (2.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon Keyspaces and DataStax Astra DB open source?

No. Amazon Keyspaces is proprietary, closed-source software. No. DataStax Astra DB is proprietary, closed-source software.