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
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

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 7,446 stars vs 4,594 stars for Memgraph. The 62% higher star count indicates stronger community adoption. In terms of developer contributions, FalkorDB has 517 forks, indicating moderate developer engagement.
FalkorDB is growing faster, adding 1,569 stars in the last 30 days (+27%) against adding 203 stars for Memgraph (+4.6%). FalkorDB is both larger and pulling further ahead.
Both projects show recent activity, with FalkorDB last updated 12 hours ago and Memgraph 12 hours 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.