Gaffer vs FalkorDB

Gaffer is a other database; FalkorDB is a property graph database. Gaffer (2015-12, Apache-2.0, Java) ranks #57 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #6. They differ on 27 of 46 surveyed features.

Attribute Gaffer #57 ▲3 Growing FalkorDB #6 ▼2 Strong
At a glance
Rank #57#6
Score 46.964.6
GitHub stars 1.8k6.3k
Popularity 65.263.1
Activity 40.080.0
Community 30.672.1
Research 54.3
Fundamentals
Description A graph database framework with pluggable storage backends (Accumulo, HBase, Parquet). Developed by GCHQ for large-scale graph analysis with built-in timestamp management.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 GCHQFalkorDB
Model OtherProperty Graph
Kind query-enginedatabase
Category EstablishedEstablished
First released 2015-122018-07
Status deprecated — Repository archived by GCHQ; last change June 2025.active
License Apache-2.0SSPL-1.0
Written in JavaC
Query languages Custom APIopenCypher
gdotv support noyes

Feature scores 27 of 46 rows differ

Feature GafferFalkorDB
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 0.5
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