Google Cayley vs FalkorDB

Google Cayley is a rdf database; FalkorDB is a property graph database. Google Cayley (2014-06, Apache-2.0, Go) ranks #72 this month; FalkorDB (2018-07, SSPL-1.0, C) ranks #5. They differ on 21 of 46 surveyed features.

Attribute Google Cayley #72 ▼5 Growing FalkorDB #5 ▲1 Leader
At a glance
Rank #72#5
Score 42.869.8
GitHub stars 15.1k10.5k
Popularity 59.568.1
Activity 36.678.6
Community 30.369.8
Research —55.3
Fundamentals
Description An open-source RDF graph database inspired by the graph database behind Google's Knowledge Graph (Freebase). Features pluggable backend storage and multiple query language support.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 Cayley CommunityFalkorDB
Model RDFProperty Graph
Kind databasedatabase
Category EmergingEstablished
First released 2014-062018-07
Status inactive — No significant development activity since 2020.active
License Apache-2.0SSPL-1.0
Written in GoC
Query languages Gizmo, GraphQL, MQLopenCypher
gdotv support noyes

Feature scores 21 of 46 rows differ

Feature Google CayleyFalkorDB
Community & Business
Active development 0.5✓
Commercial support ·✓
Live community ·✓
Open Source ✓✓
Pricing ·✓
Trendiness 0.750.5
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 0.50.5
Data versioning support ··
Live backups ·0.5
Distribution
Cluster Re-balancing ··
Data Distribution ✓·
High-Availability 0.50.5
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 0.5✓
Schema support 0.5·
Secondary indexes ✓✓
Server side procedures ·✓
Triggers ·0.5
Authentication ·0.5
Authorization ·0.5
Data encryption ·0.5