Raphtory vs FalkorDB

Both are property graph databases. Raphtory (2020-12, GPL-3.0, Rust) ranks #24 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute Raphtory #24 ▼7 Strong FalkorDB #5 ▲1 Leader
At a glance
Rank #24#5
Score 55.669.8
GitHub stars 6477.5k
Popularity 53.368.1
Activity 71.378.6
Community 30.369.8
Research 70.755.3
Fundamentals
Description An in-memory temporal graph database written in Rust with Python and Rust APIs. Tracks graph changes over time with time-traveling queries across historical states. Supports multilayer graph modeling, built-in graph algorithms, and full-text search. Includes a GraphQL server with a bundled exploration UI.A property graph database that runs as a Redis module, formerly RedisGraph. Uses GraphBLAS sparse matrix operations for query execution, enabling parallel graph traversal.
Vendor PometryFalkorDB
Model Property GraphProperty Graph
Kind databasedatabase
Category EmergingEstablished
First released 2020-122018-07
Status activeactive
License GPL-3.0SSPL-1.0
Written in RustC
Query languages GraphQLopenCypher
gdotv support noyes

Feature scores — not surveyed for Raphtory

Feature RaphtoryFalkorDB
Community & Business
Active development —✓
Commercial support —✓
Live community —✓
Open Source —✓
Pricing —✓
Trendiness —0.5
Deployment
Containerization —✓
Work as dedicated instance —✓
Work as embedded —·
Testing in-memory version —✓
Platform
Operating on Linux —✓
Operating on Windows —0.75
SaaS offering —·
Operations
Automatic updates —·
Client side caching —0.5
Data versioning support —·
Live backups —0.5
Distribution
Cluster Re-balancing —·
Data Distribution —·
High-Availability —0.5
Query Distribution —·
Replication support —✓
Developer Experience
Data types defined —✓
Logging/Auditing —0.5
Object-Graph Mapper —✓
Reactive programming —0.5
Documentation up-to-date —✓
Binary protocol —✓
CLI —✓
GUI —·
Data Model
Multi-database —·
Graph-native data —✓
REST API —✓
Query Language —✓
Transactions
Granular locking —·
Multiple isolation levels —·
Read committed transaction —·
Transaction support —✓
Schema & Security
Constraints —✓
Schema support —·
Secondary indexes —✓
Server side procedures —✓
Triggers —0.5
Authentication —0.5
Authorization —0.5
Data encryption —0.5