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Head-to-head · Graph Database Hosting

TigerGraph vs Dgraph

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score TigerGraph #3 in Graph Database Hosting 9.0/10 Free plan Free plan✓ 1 of 3 features Visit TigerGraph
Dgraph #8 in Graph Database Hosting 8.5/10 Open source ✓ 1 of 3 features Visit Dgraph

TigerGraph leads on 0 checks, Dgraph 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 scoreTigerGraph · 9.0/10
  • Free planonly TigerGraph

TigerGraph scores higher on our rubric for graph database hosting: 9.0 against 8.5 out of 10; our editors rank them #3 and #8.

TigerGraph is the better fit for large-scale parallel graph analytics. Dgraph is the better fit for self-hosted teams needing scalable graph infrastructure.

  • TigerGraph fits best

    Large-scale parallel graph analytics

  • Dgraph fits best

    Self-hosted teams needing scalable graph infrastructure

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Side by side

Feature TigerGraph 9.0/10 Visit ↗ Dgraph 8.5/10 Visit ↗
At a glance
Editor score 9.0 8.5
Ranking #3 in Graph Database Hosting #8 in Graph Database Hosting
Best for Large-scale parallel graph analytics Self-hosted teams needing scalable graph infrastructure
Pricing model Free plan + paid Free
Starting price $45/GB/mo Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Support Email, Tickets, Community, Docs Community, Docs
Built for Mid-market, Enterprise Small business, Mid-market, Enterprise
Features TigerGraph 1/3 · Dgraph 1/3
High availability Not checked yet Not checked yet
Automated backups Not checked yet Not checked yet
Vector search ✓ ✓
Specs
Supported engines Not checked yet Not checked yet
Query languages GSQL, openCypher, GQL DQL, GraphQL
Deployment scope Not checked yet Not checked yet
Storage limit Not checked yet Not checked yet
Our review
Pros
  • Distributed native parallel processing for highly connected data
  • GSQL, OpenCypher, and GQL query support
  • Hybrid graph-vector search with algorithms and AI/ML tools
  • Distributed storage with DQL, GraphQL, and ACID transactions
  • Graph traversal, shortest paths, filtering, and pagination
  • Docker and Kubernetes deployment with vector similarity search
Cons
  • Savanna uses usage-based billing, with storage billed separately
  • Savanna Free Trial is not a permanent free cloud plan
  • Self-managed deployments require Linux, Docker, or Kubernetes
  • Self-managed deployment requires infrastructure ownership
  • May not suit teams seeking broad integration coverage
  • Cloud plan details are not part of the published product profile
Our verdict

TigerGraph is a distributed graph database and analytics platform for enterprises working with highly connected data. It supports real-time graph updates, parallel processing, graph algorithms, multiple query languages, graph and vector…

Read the review →

Dgraph is an open-source, distributed graph database for applications built around highly connected data. It supports Dgraph Query Language (DQL), generated GraphQL APIs, distributed ACID transactions, graph traversal, filtering,…

Read the review →
  1. TigerGraphGraph Database Hosting 9.0Free plan
  2. DgraphGraph Database Hosting 8.5Open source

Strengths and trade-offs

  • TigerGraph — where it wins

    • Distributed native parallel processing for highly connected data
    • GSQL, OpenCypher, and GQL query support
    • Hybrid graph-vector search with algorithms and AI/ML tools

    Where it doesn't

    • Savanna uses usage-based billing, with storage billed separately
    • Savanna Free Trial is not a permanent free cloud plan
    • Self-managed deployments require Linux, Docker, or Kubernetes

  • Dgraph — where it wins

    • Distributed storage with DQL, GraphQL, and ACID transactions
    • Graph traversal, shortest paths, filtering, and pagination
    • Docker and Kubernetes deployment with vector similarity search

    Where it doesn't

    • Self-managed deployment requires infrastructure ownership
    • May not suit teams seeking broad integration coverage
    • Cloud plan details are not part of the published product profile

More comparisons

All graph database hosting comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update