vs

Amazon DynamoDB vs Amazon Keyspaces

Amazon DynamoDB: AWS's serverless key-value and document store with single-digit-millisecond reads at any scale. Amazon Keyspaces: Serverless, CQL-compatible Cassandra service on AWS with no clusters to manage.

key differences

  • Amazon DynamoDB is primarily a key-value database; Amazon Keyspaces is wide-column.
  • Amazon DynamoDB is built for larger datasets (Multi-PB) than Amazon Keyspaces (≤ 1 PB).
  • Only Amazon DynamoDB has secondary indexes, json, triggers, streaming ingest.

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 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

overview
Primary model
Key-Value
Wide-Column
Also supports
Document
Key-Value
Type
Managed service
Managed service
Status
Active
Active
Developer
Amazon Web Services
Amazon Web Services
First release
2012
2020
Latest version
–
–
License
ProprietaryProprietary (AWS service)
ProprietaryProprietary (AWS service)
Free tier
✓
✓
popularity
WhichDB Score
63.3
2.4
Rank
#14
#477
GitHub stars
–
–
Stack Overflow questions
14.3K
122
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
Strong, Eventual
Schema
Schemaless
Strict
Architecture
Distributed, Serverless
Distributed, Serverless
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
✓
Embedded
—
—
Edge
—
—
Clouds
AWS
AWS
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
Client languages
Java, Python, JavaScript, Go, C#, .NET, Rust, Ruby
Java, Python, JavaScript, Go, C#, Ruby
Best for
OLTP, Sessions, Cache, Metadata
OLTP, IoT, Time-series, Metadata

Amazon DynamoDB vs Amazon Keyspaces: FAQ

What is the difference between Amazon DynamoDB and Amazon Keyspaces?

Amazon DynamoDB: AWS's serverless key-value and document store with single-digit-millisecond reads at any scale. Amazon Keyspaces: Serverless, CQL-compatible Cassandra service on AWS with no clusters to manage. Amazon DynamoDB is primarily a key-value database; Amazon Keyspaces is wide-column. Amazon DynamoDB is built for larger datasets (Multi-PB) than Amazon Keyspaces (≤ 1 PB). Only Amazon DynamoDB has secondary indexes, json, triggers, streaming ingest.

When should I choose Amazon DynamoDB over Amazon Keyspaces?

Choose Amazon DynamoDB for serverless application backends on Lambda; user profiles, sessions and shopping carts; and high-traffic e-commerce and gaming state. 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.

Is Amazon DynamoDB or Amazon Keyspaces more popular?

Amazon DynamoDB ranks #14 on the WhichDB Score (63.3/100) and Amazon Keyspaces ranks #477 (2.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Amazon DynamoDB and Amazon Keyspaces open source?

No. Amazon DynamoDB is proprietary, closed-source software. No. Amazon Keyspaces is proprietary, closed-source software.