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Head-to-head · Graph Database Hosting

CognoDB vs NebulaGraph

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score CognoDB #5 in Graph Database Hosting 8.8/10 Free plan Free plan✓ 2 of 3 features Visit CognoDB
NebulaGraph #6 in Graph Database Hosting 8.7/10 Free plan · 14-day trial Free planFree trial✓ 1 of 3 features Visit NebulaGraph

CognoDB leads on 0 checks, NebulaGraph on 1, and 3 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 scoreCognoDB · 8.8/10
  • Free planboth
  • Free trialonly NebulaGraph
  • Most featuresCognoDB · 2 of 3

CognoDB scores higher on our rubric for graph database hosting: 8.8 against 8.7 out of 10; our editors rank them #5 and #6.

NebulaGraph offers vector search; CognoDB doesn't.

CognoDB is the better fit for budget-conscious Cypher-compatible deployments. NebulaGraph is the better fit for open-source distributed graph deployments.

  • CognoDB fits best

    Budget-conscious Cypher-compatible deployments

  • NebulaGraph fits best

    Open-source distributed graph deployments

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Side by side

Feature CognoDB 8.8/10 Visit ↗ NebulaGraph 8.7/10 Visit ↗
At a glance
Editor score 8.8 8.7
Ranking #5 in Graph Database Hosting #6 in Graph Database Hosting
Best for Budget-conscious Cypher-compatible deployments Open-source distributed graph deployments
Pricing model Free plan + paid Free
Starting price $9/unit/mo Free
Free plan ✓ ✓
Free trial — 14 days
Deployment Cloud Cloud, Self-hosted
Platforms Web Web, Linux, Windows, macOS
Support Email, Docs Docs, Tickets
Integrations 21+ integrations 3 integrations
Built for Solo, Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features CognoDB 2/3 · NebulaGraph 1/3
High availability ✓ (best) Not checked yet
Automated backups ✓ (best) Not checked yet
Vector search — ✓ (best)
Specs
Supported engines CognoDB graph engine Not checked yet
Query languages Cypher nGQL, openCypher, ISO-GQL
Deployment scope Single-region Not checked yet
Storage limit 2 GB Not checked yet
Our review
Pros
  • Free plan includes Cypher, Neo4j drivers, backups and Terraform
  • Imports data from warehouses, streams, object storage and table formats
  • Supports traversal, BM25 full-text search and MCP-based queries
  • Distributed storage with horizontal scalability
  • nGQL and openCypher-compatible query support
  • Native vector search, algorithms, and visualization tools
Cons
  • Instances run in a single selected region
  • Vector search is not supported
  • Dedicated hosting starts at $241 per instance per month
  • Deployment choices may require more technical planning
  • The product spans multiple editions and deployment models
  • Narrow relational workloads may not need its graph-focused feature set
Our verdict

CognoDB is a managed cloud graph database for applications built around nodes, relationships and traversals. It is aimed at teams that want Cypher over Bolt 5.0–5.4, compatibility with official Neo4j drivers, and provisioned instances…

Read the review →

NebulaGraph is an open-source, distributed graph database for developers and organizations working with highly connected data. It represents entities as vertices and relationships as edges, then supports traversal and pattern matching…

Read the review →
  1. CognoDBGraph Database Hosting 8.8Free plan
  2. NebulaGraphGraph Database Hosting 8.7Free plan · 14-day trial

Strengths and trade-offs

  • CognoDB — where it wins

    • Free plan includes Cypher, Neo4j drivers, backups and Terraform
    • Imports data from warehouses, streams, object storage and table formats
    • Supports traversal, BM25 full-text search and MCP-based queries

    Where it doesn't

    • Instances run in a single selected region
    • Vector search is not supported
    • Dedicated hosting starts at $241 per instance per month
  • NebulaGraph — where it wins

    • Distributed storage with horizontal scalability
    • nGQL and openCypher-compatible query support
    • Native vector search, algorithms, and visualization tools

    Where it doesn't

    • Deployment choices may require more technical planning
    • The product spans multiple editions and deployment models
    • Narrow relational workloads may not need its graph-focused feature set

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update