vs

Amazon DynamoDB vs DataStax Astra DB

Amazon DynamoDB: AWS's serverless key-value and document store with single-digit-millisecond reads at any scale. DataStax Astra DB: Serverless Cassandra-as-a-service with vector search and a JSON Data API, now owned by IBM.

key differences

  • Amazon DynamoDB is primarily a key-value database; DataStax Astra DB is wide-column.
  • Amazon DynamoDB is built for larger datasets (Multi-PB) than DataStax Astra DB (≤ 1 PB).
  • Only Amazon DynamoDB has transactions, triggers, time travel, streaming ingest.
  • Only DataStax Astra DB has vector search, compression.

choose amazon-dynamodb for

  • +Serverless application backends on Lambda
  • +User profiles, sessions and shopping carts
  • +High-traffic e-commerce and gaming state
  • +IoT device state and metadata

best at · OLTP, Sessions, Cache

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

overview
Primary model
Key-Value
Wide-Column
Also supports
Document
Document, Vector, Key-Value
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
DataStax (IBM)
First release
2012
2020
Latest version
–
–
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (managed service)
Free tier
✓
✓
popularity
WhichDB Score
63.3
11.7
Rank
#14
#280
GitHub stars
–
–
Stack Overflow questions
14.3K
136
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
Active active
Active active
ACID
Limited
Limited
Consistency
Strong, Eventual
Tunable, Eventual
Schema
Schemaless
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
DynamoDB API, PartiQL
CQL, Data API (JSON)
Client languages
Java, Python, JavaScript, Go, C#, .NET, Rust, Ruby
Java, Python, JavaScript, Go, C#
Best for
OLTP, Sessions, Cache, Metadata
OLTP, Vector search, RAG, IoT

Amazon DynamoDB vs DataStax Astra DB: FAQ

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

Amazon DynamoDB: AWS's serverless key-value and document store with single-digit-millisecond reads at any scale. DataStax Astra DB: Serverless Cassandra-as-a-service with vector search and a JSON Data API, now owned by IBM. Amazon DynamoDB is primarily a key-value database; DataStax Astra DB is wide-column. Amazon DynamoDB is built for larger datasets (Multi-PB) than DataStax Astra DB (≤ 1 PB). Only Amazon DynamoDB has transactions, triggers, time travel, streaming ingest.

When should I choose Amazon DynamoDB over DataStax Astra DB?

Choose Amazon DynamoDB for serverless application backends on Lambda; user profiles, sessions and shopping carts; and high-traffic e-commerce and gaming state. 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 DynamoDB or DataStax Astra DB more popular?

Amazon DynamoDB ranks #14 on the WhichDB Score (63.3/100) and DataStax Astra DB ranks #280 (11.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon DynamoDB and DataStax Astra DB open source?

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