GFQL vs FalkorDB

Both are property graph databases queried with openCypher. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5.

Attribute GFQL #20 ▼2 Strong FalkorDB #5 ▲1 Leader
At a glance
Rank #20#5
Score 56.769.8
GitHub stars 2.6k10.5k
Popularity 53.868.1
Activity 62.278.6
Community 57.569.8
Research 50.055.3
Fundamentals
Description A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library.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 GraphistryFalkorDB
Model Property GraphProperty Graph
Kind query-enginedatabase
Category GrowingEstablished
First released 20232018-07
Status activeactive
License BSD-3-ClauseSSPL-1.0
Written in PythonC
Query languages GFQL, openCypheropenCypher
gdotv support noyes

Feature scores — not surveyed for GFQL

Feature GFQLFalkorDB
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