Learn how FalkorDB and Memgraph differ in their key features, development activity, technology stack and community adoption, so you can decide which of these graph databases is best for you.
Last 30 days
Last commit
5 hours agoRepository age
3 yearsVersion
v6.0.3License
SSPL-1.0Self-hosted
YesRepository
falkordb/falkordb
Last 30 days
Last commit
2 days agoRepository age
6 yearsVersion
v3.14.0Self-hosted
YesRepository
memgraph/memgraph
FalkorDB appears to have several advantages over Memgraph, particularly in popularity, growth and licensing. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
FalkorDB leads in popularity with 10,493 stars vs 4,628 stars for Memgraph. The 127% higher star count indicates stronger community adoption. In terms of developer contributions, FalkorDB has 594 forks, indicating moderate developer engagement.
FalkorDB is growing faster, adding 4,175 stars in the last 30 days (+66%) against adding 47 stars for Memgraph (+1%). FalkorDB is both larger and pulling further ahead.
Both projects show recent activity, with FalkorDB last updated 5 hours ago and Memgraph 2 days ago.
Both tools share common technology foundations, being built with Bash, Python, C. However, they differ in their additional technology choices: FalkorDB uses Rust while Memgraph leverages Objective-C, C++.
Memgraph has been in development longer, starting 6 years ago, compared to FalkorDB which began 3 years ago. This 2.9-year head start suggests Memgraph may have more mature features and established processes.
FalkorDB is licensed under SSPL-1.0, while Memgraph's license terms are not publicly specified.
Both tools serve similar use cases in Graph Databases. However, they also have distinct specializations: FalkorDB also focuses on Vector Databases while Memgraph extends into In-Memory Databases.
Both FalkorDB and Memgraph offer self-hosting capabilities, giving you full control over your data and infrastructure.