Head-to-head · Graph Databases
Neo4j vs TigerGraph
Neo4j leads on 0 checks, TigerGraph on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreNeo4j · 9.4/10
- Free planboth
- Free trialonly Neo4j
Neo4j scores higher on our rubric for graph databases: 9.4 against 8.7 out of 10; our editors rank them #1 and #5.
Neo4j is the better fit for broad enterprise graph workloads. TigerGraph is the better fit for large-scale parallel graph analytics.
- Neo4j fits best
Broad enterprise graph workloads
- TigerGraph fits best
Large-scale parallel graph analytics
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Side by side
| Feature | Neo4j 9.4/10 Visit ↗ | TigerGraph 8.7/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 8.7 |
| Ranking | #1 in Graph Databases | #5 in Graph Databases |
| Best for | Broad enterprise graph workloads | Large-scale parallel graph analytics |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | $45/GB/mo |
| Free plan | ✓ | ✓ |
| Free trial | 14 days | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web, Windows, macOS, Linux | Web, Linux |
| Support | Tickets, Live chat, Community, Docs | Email, Tickets, Community, Docs |
| Compliance | SOC 2, ISO 27001, GDPR, HIPAA | SOC 2, ISO 27001, GDPR, PCI DSS, SSO/SAML |
| Integrations | 10 integrations | 11 integrations |
| Built for | Small business, Mid-market, Enterprise | Mid-market, Enterprise |
| Features Neo4j 3/3 · TigerGraph 3/3 | ||
| ACID transactions | ✓ | ✓ |
| Graph algorithms | ✓ | ✓ |
| Vector search | ✓ | ✓ |
| Specs | ||
| Deployment | Not checked yet | Not checked yet |
| Query languages | Cypher, GQL | GSQL, openCypher, GQL |
| Included storage | 2 GB | Not checked yet |
| Our review | ||
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| Our verdict | Neo4j is a native graph database for developers, data scientists, and organizations working with connected data. It stores nodes, relationships, and properties, with use cases including analytics, recommendations, fraud detection,… Read the review → |
TigerGraph is a distributed graph database and analytics platform for enterprises working with highly connected data. It supports real-time graph updates, massively parallel processing, graph algorithms, GSQL, OpenCypher, and GQL, along… Read the review → |
Strengths and trade-offs
Neo4j — where it wins
- Native property graphs with Cypher and full ACID transactions
- Graph algorithms, vector indexes, and machine-learning pipelines
- Managed and self-managed deployment across major cloud platforms
Where it doesn't
- Professional requires a minimum 1GB cluster
- Business Critical requires a minimum 2GB cluster
- Virtual Dedicated Cloud pricing requires contacting sales
TigerGraph — where it wins
- Distributed native parallel graph processing for highly connected data
- Hybrid graph and vector search with graph algorithms and AI/ML tools
- Managed cloud and self-managed Linux, Docker, or Kubernetes deployment
Where it doesn't
- Savanna pricing is usage-based and storage is billed separately
- Advanced capacity and availability features require higher-tier plans
- The platform may exceed the needs of teams seeking a narrow graph database
- Neo4j9.4/10 · Free plan · 14-day trial
A broad graph platform spanning managed cloud, self-managed deployments, analytics, and AI.
Visit Neo4jFull verdict → - TigerGraph8.7/10 · Free plan
A distributed graph platform for large-scale analytics, search, algorithms, and AI workloads.
Visit TigerGraphFull verdict →
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All graph databases comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






