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Head-to-head · NoSQL Databases

Amazon DocumentDB vs Apache Cassandra

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score Amazon DocumentDB #5 in NoSQL Databases 9.1/10 30-day trial Free trial✓ 0 of 2 features Visit AWS
Apache Cassandra #6 in NoSQL Databases 9.0/10 Open source ✓ 1 of 2 features Try Apache Cassandra

Amazon DocumentDB 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 DocumentDB · 9.1/10
  • Free trialonly Amazon DocumentDB
  • Most featuresApache Cassandra · 1 of 2

Amazon DocumentDB scores higher on our rubric for nosql databases: 9.1 against 9.0 out of 10; our editors rank them #5 and #6.

Amazon DocumentDB is the better fit for AWS teams running MongoDB-compatible document workloads. Apache Cassandra is the better fit for teams running self-hosted wide-column workloads.

  • Amazon DocumentDB fits best

    AWS teams running MongoDB-compatible document workloads

  • Apache Cassandra fits best

    Teams running self-hosted wide-column workloads

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Side by side

Feature Amazon DocumentDB 9.1/10 Visit ↗ Apache Cassandra 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #5 in NoSQL Databases #6 in NoSQL Databases
Best for AWS teams running MongoDB-compatible document workloads Teams running self-hosted wide-column workloads
Pricing model Paid Free
Starting price — Open source
Free plan — Not checked yet
Free trial 30 days —
Deployment Cloud Self-hosted, Desktop
Platforms Web Web, Windows, macOS, Linux
Support Docs Community, Docs
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features Amazon DocumentDB 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
  • Supports MongoDB APIs and drivers, plus multi-document ACID transactions
  • Offers serverless scaling or provisioned instances with two I/O configurations
  • Includes global clusters, vector search, backups, and point-in-time recovery
  • CQL provides an SQL-like interface for querying wide-column data
  • Replicates across datacenters with tunable consistency levels
  • Scales horizontally by adding nodes
Cons
  • Paid service with no permanent free plan
  • Usage-based costs vary by Region, compute, storage, I/O, and backups
  • Focused on AWS cloud deployment rather than a multi-cloud setup
  • 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 DocumentDB is a managed cloud document database for teams running applications built around MongoDB-compatible APIs and drivers. Its JSON-style document storage and support for multi-document ACID transactions suit workloads that…

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 DocumentDBNoSQL Databases 9.130-day trial
  2. Apache CassandraNoSQL Databases 9.0Open source

Strengths and trade-offs

  • Amazon DocumentDB — where it wins

    • Supports MongoDB APIs and drivers, plus multi-document ACID transactions
    • Offers serverless scaling or provisioned instances with two I/O configurations
    • Includes global clusters, vector search, backups, and point-in-time recovery

    Where it doesn't

    • Paid service with no permanent free plan
    • Usage-based costs vary by Region, compute, storage, I/O, and backups
    • Focused on AWS cloud deployment rather than a multi-cloud setup
  • 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