vs

FalkorDB vs GrapheneDB

FalkorDB: Low-latency graph database using sparse matrices, the maintained successor to RedisGraph. GrapheneDB: Managed hosting for Neo4j Community Edition on dedicated cloud instances, with backups and replicas.

key differences

  • Licensing: FalkorDB is source-available (Server Side Public License v1); GrapheneDB is proprietary (Proprietary service (hosts GPLv3 Neo4j Community Edition)).
  • Transactions: FalkorDB offers limited ACID; GrapheneDB offers full.
  • Only FalkorDB has vector search, geospatial, in-memory.
  • Only GrapheneDB has transactions, encryption at rest.

choose falkordb for

  • +GraphRAG knowledge graphs for LLM apps
  • +Agent and user memory graphs
  • +Migrating off RedisGraph
  • +Real-time recommendation and fraud lookups

best at · Traversal, RAG, Knowledge graph

choose graphenedb for

  • +Production Neo4j apps on a budget
  • +Recommendation and social graphs for startups
  • +Managed graph backends for knowledge-graph prototypes

best at · Traversal, Knowledge graph, OLTP

overview
Primary model
Graph
Graph
Also supports
Vector
–
Type
Database engine
Managed service
Status
Active
Active
Developer
FalkorDB Ltd.
GrapheneDB Labs
First release
2023
2013
Latest version
6.0.3 (Oct 22, 2026)
–
License
Source-availableServer Side Public License v1
ProprietaryProprietary service (hosts GPLv3 Neo4j Community Edition)
Free tier
✓
—
popularity
WhichDB Score
28.5
0.0
Rank
#97
#748
GitHub stars
10.5K
–
Stack Overflow questions
8
–
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
None
None
Multi-region
None
Read replicas
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Schemaless
Flexible
Architecture
In memory, Primary replica, Client server
Client server, Primary replica
deployment
Self-hosted
✓
—
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud
AWS
capabilities
Transactions
—
✓
Joins
—
—
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
—
Geospatial
✓
—
JSON
—
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
✓
—
Durable persistence
✓
✓
Compression
—
—
Encryption at rest
—
✓
Role-based access
✓
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Cypher
Cypher
Client languages
Python, JavaScript, Java, Go, Rust, C#
Java, JavaScript, Python, Go, C#
Best for
Traversal, RAG, Knowledge graph, Vector search
Traversal, Knowledge graph, OLTP

FalkorDB vs GrapheneDB: FAQ

What is the difference between FalkorDB and GrapheneDB?

FalkorDB: Low-latency graph database using sparse matrices, the maintained successor to RedisGraph. GrapheneDB: Managed hosting for Neo4j Community Edition on dedicated cloud instances, with backups and replicas. Licensing: FalkorDB is source-available (Server Side Public License v1); GrapheneDB is proprietary (Proprietary service (hosts GPLv3 Neo4j Community Edition)). Transactions: FalkorDB offers limited ACID; GrapheneDB offers full. Only FalkorDB has vector search, geospatial, in-memory.

When should I choose FalkorDB over GrapheneDB?

Choose FalkorDB for GraphRAG knowledge graphs for LLM apps; agent and user memory graphs; and migrating off RedisGraph. Choose GrapheneDB for production Neo4j apps on a budget; recommendation and social graphs for startups; and managed graph backends for knowledge-graph prototypes.

Is FalkorDB or GrapheneDB more popular?

FalkorDB ranks #97 on the WhichDB Score (28.5/100) and GrapheneDB ranks #748 (0.0/100). Popularity is not fit: check the requirements that matter for your project.

Are FalkorDB and GrapheneDB open source?

Not in the OSI sense. FalkorDB is source-available: you can read the code, but the license restricts some uses, typically offering it as a competing managed service. License: Server Side Public License v1. No. GrapheneDB is proprietary, closed-source software.