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Head-to-head · NoSQL Databases

Amazon DynamoDB vs Apache Cassandra

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Amazon DynamoDB #1 in NoSQL Databases 9.3/10 Free plan Free plan✓ 0 of 2 features Try Amazon DynamoDB
Apache Cassandra #6 in NoSQL Databases 9.0/10 Open source ✓ 1 of 2 features Try Apache Cassandra

Amazon DynamoDB leads on 0 checks, Apache Cassandra on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAmazon DynamoDB · 9.3/10
  • Free planonly Amazon DynamoDB
  • Most featuresApache Cassandra · 1 of 2

Amazon DynamoDB scores higher on our rubric for nosql databases: 9.3 against 9.0 out of 10; our editors rank them #1 and #6.

Amazon DynamoDB is the better fit for AWS teams building scalable key-value applications. Apache Cassandra is the better fit for teams running self-hosted wide-column workloads.

  • Amazon DynamoDB fits best

    AWS teams building scalable key-value applications

  • Apache Cassandra fits best

    Teams running self-hosted wide-column workloads

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Side by side

Feature Amazon DynamoDB 9.3/10 Visit ↗ Apache Cassandra 9.0/10 Visit ↗
At a glance
Editor score 9.3 9.0
Ranking #1 in NoSQL Databases #6 in NoSQL Databases
Best for AWS teams building scalable key-value applications Teams running self-hosted wide-column workloads
Pricing model Free plan + paid Free
Starting price — Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud Self-hosted, Desktop
Platforms Web, Windows, macOS, Linux, iOS, Android Web, Windows, macOS, Linux
Support Docs Community, Docs
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon DynamoDB 0/2 · Apache Cassandra 1/2
Horizontal scaling Not checked yet ✓ (best)
Replication Not checked yet Not checked yet
Specs
Data model Not checked yet Not checked yet
Deployment options Not checked yet Not checked yet
Max storage Not checked yet Not checked yet
Query interface Not checked yet Not checked yet
Our review
Pros
  • Choose on-demand or provisioned read and write capacity.
  • ACID transactions, TTL expiration and multi-Region global tables.
  • Streams, PartiQL and vector search indexes support varied workloads.
  • CQL provides an SQL-like interface for querying wide-column data
  • Replicates across datacenters with tunable consistency levels
  • Scales horizontally by adding nodes
Cons
  • Cloud deployment ties the database to AWS.
  • Usage-based paid pricing varies by Region, capacity mode and optional features.
  • Support channels listed are documentation.
  • Self-managed deployment puts operations on the team
  • No vendor-hosted service is part of the offering
  • Community and documentation are the listed support channels
Our verdict

Amazon DynamoDB is a fully managed, serverless NoSQL database for applications that need low-latency access at scale. It stores items in tables organized by primary keys, with on-demand and provisioned capacity options. Its feature set…

Read the review →

Apache Cassandra is an open-source, distributed NoSQL database built around a partitioned wide-column data model. It suits teams handling large datasets and high-volume reads and writes that need high availability and fault tolerance. Its…

Read the review →
  1. Amazon DynamoDBNoSQL Databases 9.3Free plan
  2. Apache CassandraNoSQL Databases 9.0Open source

Strengths and trade-offs

  • Amazon DynamoDB — where it wins

    • Choose on-demand or provisioned read and write capacity.
    • ACID transactions, TTL expiration and multi-Region global tables.
    • Streams, PartiQL and vector search indexes support varied workloads.

    Where it doesn't

    • Cloud deployment ties the database to AWS.
    • Usage-based paid pricing varies by Region, capacity mode and optional features.
    • Support channels listed are documentation.
  • Apache Cassandra — where it wins

    • CQL provides an SQL-like interface for querying wide-column data
    • Replicates across datacenters with tunable consistency levels
    • Scales horizontally by adding nodes

    Where it doesn't

    • Self-managed deployment puts operations on the team
    • No vendor-hosted service is part of the offering
    • Community and documentation are the listed support channels

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update