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Head-to-head · Graph Database Hosting

FalkorDB vs Dgraph

  • Updated Oct 2026
  • Both researched from official sources
  • 2 checks side by side
Higher score FalkorDB #7 in Graph Database Hosting 8.6/10 Free plan Free plan✓ 1 of 3 features Visit FalkorDB
Dgraph #8 in Graph Database Hosting 8.5/10 Open source ✓ 1 of 3 features Visit Dgraph

FalkorDB 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 scoreFalkorDB · 8.6/10
  • Free planonly FalkorDB

FalkorDB scores higher on our rubric for graph database hosting: 8.6 against 8.5 out of 10; our editors rank them #7 and #8.

FalkorDB is the better fit for open-source graph and GraphRAG projects. Dgraph is the better fit for self-hosted teams needing scalable graph infrastructure.

  • FalkorDB fits best

    Open-source graph and GraphRAG projects

  • Dgraph fits best

    Self-hosted teams needing scalable graph infrastructure

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature FalkorDB 8.6/10 Visit ↗ Dgraph 8.5/10 Visit ↗
At a glance
Editor score 8.6 8.5
Ranking #7 in Graph Database Hosting #8 in Graph Database Hosting
Best for Open-source graph and GraphRAG projects Self-hosted teams needing scalable graph infrastructure
Pricing model Free plan + paid Free
Starting price $73/GB/mo Open source
Free plan ✓ (best) Not checked yet
Free trial — —
Deployment Cloud, Self-hosted Cloud, Self-hosted
Support Community, Docs Community, Docs
Built for Small business, Mid-market, Enterprise Small business, Mid-market, Enterprise
Features FalkorDB 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 OpenCypher (Cypher) DQL, GraphQL
Deployment scope Not checked yet Not checked yet
Storage limit Not checked yet Not checked yet
Our review
Pros
  • OpenCypher, graph algorithms, and multiple indexing options
  • GraphRAG SDK supports hybrid retrieval and cited answers
  • Docker, Kubernetes, cloud, and seven official client libraries
  • Distributed storage with DQL, GraphQL, and ACID transactions
  • Graph traversal, shortest paths, filtering, and pagination
  • Docker and Kubernetes deployment with vector similarity search
Cons
  • OpenCypher extensions may reduce query portability
  • Deployment options require architecture decisions
  • Broad capabilities may exceed simple graph workloads
  • 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

FalkorDB is a Redis-based property graph database for developers and teams working with interconnected data. It supports nodes, relationships, labels, properties, OpenCypher queries, graph traversals, full-text indexing, range indexing,…

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. FalkorDBGraph Database Hosting 8.6Free plan
  2. DgraphGraph Database Hosting 8.5Open source

Strengths and trade-offs

  • FalkorDB — where it wins

    • OpenCypher, graph algorithms, and multiple indexing options
    • GraphRAG SDK supports hybrid retrieval and cited answers
    • Docker, Kubernetes, cloud, and seven official client libraries

    Where it doesn't

    • OpenCypher extensions may reduce query portability
    • Deployment options require architecture decisions
    • Broad capabilities may exceed simple graph workloads
  • 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

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update