vs

FalkorDB vs Memgraph

FalkorDB: Low-latency graph database using sparse matrices, the maintained successor to RedisGraph. Memgraph: In-memory, Cypher-compatible graph database in C++ for streaming and real-time graph workloads.

key differences

  • Transactions: FalkorDB offers limited ACID; Memgraph offers full.
  • Only Memgraph has transactions, triggers, stored procedures, ttl / expiry, online schema changes.

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 memgraph for

  • +Real-time fraud detection on streaming transactions
  • +Network and IT topology monitoring
  • +GraphRAG and agent memory
  • +Supply chain optimization

best at · Traversal, Graph analytics, Real-time analytics

overview
Primary model
Graph
Graph
Also supports
Vector
Vector
Type
Database engine
Database engine
Status
Active
Active
Developer
FalkorDB Ltd.
Memgraph Ltd.
First release
2023
2017
Latest version
6.0.3 (Oct 22, 2026)
3.14.0 (Oct 21, 2026)
License
Source-availableServer Side Public License v1
Source-availableBusiness Source License 1.1 (Community) / Memgraph Enterprise License
Free tier
✓
✓
popularity
WhichDB Score
28.5
24.4
Rank
#97
#124
GitHub stars
10.5K
4.6K
Stack Overflow questions
8
506
scale & guarantees
Comfortable data size
Medium (≤ 10 TB)
Medium (≤ 10 TB)
Horizontal scaling
None
None
Multi-region
None
None
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Schemaless
Flexible
Architecture
In memory, Primary replica, Client server
In memory, Primary replica, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud
–
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#
Python, JavaScript, Java, Go, C#, Rust, C/C++
Best for
Traversal, RAG, Knowledge graph, Vector search
Traversal, Graph analytics, Real-time analytics, Streaming

FalkorDB vs Memgraph: FAQ

What is the difference between FalkorDB and Memgraph?

FalkorDB: Low-latency graph database using sparse matrices, the maintained successor to RedisGraph. Memgraph: In-memory, Cypher-compatible graph database in C++ for streaming and real-time graph workloads. Transactions: FalkorDB offers limited ACID; Memgraph offers full. Only Memgraph has transactions, triggers, stored procedures, ttl / expiry, online schema changes.

When should I choose FalkorDB over Memgraph?

Choose FalkorDB for GraphRAG knowledge graphs for LLM apps; agent and user memory graphs; and migrating off RedisGraph. Choose Memgraph for real-time fraud detection on streaming transactions; network and IT topology monitoring; and GraphRAG and agent memory.

Is FalkorDB or Memgraph more popular?

FalkorDB ranks #97 on the WhichDB Score (28.5/100) and Memgraph ranks #124 (24.4/100). Popularity is not fit: check the requirements that matter for your project.

Are FalkorDB and Memgraph 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. Not in the OSI sense. Memgraph is source-available: you can read the code, but the license restricts some uses, typically offering it as a competing managed service. License: Business Source License 1.1 (Community) / Memgraph Enterprise License.