Head-to-head · NoSQL Databases
Azure Cosmos DB for NoSQL vs Apache Cassandra
Azure Cosmos DB for NoSQL 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 scoreAzure Cosmos DB for NoSQL · 9.1/10
- Free planonly Azure Cosmos DB for NoSQL
- Free trialonly Azure Cosmos DB for NoSQL
- Most featuresApache Cassandra · 1 of 2
Azure Cosmos DB for NoSQL scores higher on our rubric for nosql databases: 9.1 against 9.0 out of 10; our editors rank them #4 and #6.
Azure Cosmos DB for NoSQL is the better fit for azure teams needing globally distributed JSON storage. Apache Cassandra is the better fit for teams running self-hosted wide-column workloads.
- Azure Cosmos DB for NoSQL fits best
Azure teams needing globally distributed JSON storage
- Apache Cassandra fits best
Teams running self-hosted wide-column workloads
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Side by side
| Feature | Azure Cosmos DB for NoSQL 9.1/10 Visit ↗ | Apache Cassandra 9.0/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 9.0 |
| Ranking | #4 in NoSQL Databases | #6 in NoSQL Databases |
| Best for | Azure teams needing globally distributed JSON storage | 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 | 30 days | — |
| Deployment | Cloud | Self-hosted, Desktop |
| Platforms | Web | Web, Windows, macOS, Linux |
| Support | Docs | Community, Docs |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Azure Cosmos DB for NoSQL 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 |
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| Cons |
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| Our verdict | Azure Cosmos DB for NoSQL is a fully managed cloud document database for developers building applications around flexible JSON data. It suits Azure teams that need global distribution, low-latency access, or elastic capacity for SaaS,… 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 → |
Strengths and trade-offs
Azure Cosmos DB for NoSQL — where it wins
- Automatic indexing and SQL-like queries for schema-free JSON documents
- ACID transactions within a logical partition, plus integrated vector search
- Provisioned, autoscale, and serverless throughput options
Where it doesn't
- Global distribution and throughput choices can make configuration complex
- Free tier is limited to one account per Azure subscription
- NoSQL items are limited to 2 MB
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
- Azure Cosmos DB for NoSQL9.1/10 · Free plan · 30-day trial
A managed Azure document database for JSON workloads that need global distribution and flexible capacity.
Visit AzureFull verdict → - Apache Cassandra9.0/10 · Open source
A self-hosted wide-column database built for distributed data and tunable consistency.
Try Apache CassandraFull verdict →
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- Azure Cosmos DB for NoSQL vs Amazon DocumentDB
- Amazon DocumentDB vs Apache Cassandra
- Apache Cassandra vs Aerospike Database
All NoSQL databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






