Head-to-head · NoSQL Databases
Neo4j vs Azure Cosmos DB for NoSQL
Neo4j leads on 0 checks, Azure Cosmos DB for NoSQL on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreNeo4j · 9.2/10
- Free planboth
- Free trialboth
Neo4j scores higher on our rubric for nosql databases: 9.2 against 9.1 out of 10; our editors rank them #3 and #4.
Neo4j is the better fit for teams whose workloads are graph-centric. Azure Cosmos DB for NoSQL is the better fit for azure teams needing globally distributed JSON storage.
- Neo4j fits best
Teams whose workloads are graph-centric
- Azure Cosmos DB for NoSQL fits best
Azure teams needing globally distributed JSON storage
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Side by side
| Feature | Neo4j 9.2/10 Visit ↗ | Azure Cosmos DB for NoSQL 9.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 9.1 |
| Ranking | #3 in NoSQL Databases | #4 in NoSQL Databases |
| Best for | Teams whose workloads are graph-centric | Azure teams needing globally distributed JSON storage |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | — |
| Free plan | ✓ | ✓ |
| Free trial | 14 days | 30 days |
| Free trial length | 14 days | 30 days |
| Deployment | Cloud, Self-hosted | Cloud |
| Platforms | Web, Windows, macOS, Linux | Web |
| Support | Tickets, Live chat, Community, Docs | Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA | SOC 2, ISO 27001, GDPR, HIPAA, PCI DSS |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Neo4j 0/2 · Azure Cosmos DB for NoSQL 0/2 | ||
| Horizontal scaling | Not checked yet | Not checked yet |
| 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 | Neo4j is a native graph database for developers, data scientists, and organizations that need to model, query, and analyze connected data. Its property graph model and Cypher query language put relationships at the center of the database,… Read the review → |
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 → |
Strengths and trade-offs
Neo4j — where it wins
- Native property graph model with Cypher queries and ACID transactions
- Graph algorithms, vector indexes, and machine-learning pipelines
- AuraDB cloud service plus self-managed deployment options
Where it doesn't
- Professional monthly pricing starts with a minimum 1GB cluster
- Usage-based pricing varies with memory capacity
- Graph-focused model may not fit workloads centered on other data models
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
- Neo4j9.2/10 · Free plan · 14-day trial
A graph-first database with Cypher, ACID transactions, and managed or self-managed deployment.
Visit Neo4jFull verdict → - 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 →
More comparisons
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- Neo4j vs Aerospike Database
- Neo4j vs Azure DocumentDB
- Azure Cosmos DB for NoSQL vs Amazon DocumentDB
All NoSQL databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







