GFQL vs Google Cayley

GFQL is a property graph database; Google Cayley is a rdf database. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; Google Cayley (2014-06, Apache-2.0, Go) ranks #72.

Attribute GFQL #20 ▼2 Strong Google Cayley #72 ▼5 Growing
At a glance
Rank #20#72
Score 56.742.8
GitHub stars 2.6k15.1k
Popularity 53.859.5
Activity 62.236.6
Community 57.530.3
Research 50.0—
Fundamentals
Description A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library.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.
Vendor GraphistryCayley Community
Model Property GraphRDF
Kind query-enginedatabase
Category GrowingEmerging
First released 20232014-06
Status activeinactive — No significant development activity since 2020.
License BSD-3-ClauseApache-2.0
Written in PythonGo
Query languages GFQL, openCypherGizmo, GraphQL, MQL
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLGoogle Cayley
Community & Business
Active development —0.5
Commercial support —·
Live community —·
Open Source —✓
Pricing —·
Trendiness —0.75
Deployment
Containerization —✓
Work as dedicated instance —✓
Work as embedded —✓
Testing in-memory version —✓
Platform
Operating on Linux —✓
Operating on Windows —·
SaaS offering —·
Operations
Automatic updates —·
Client side caching —0.5
Data versioning support —·
Live backups —·
Distribution
Cluster Re-balancing —·
Data Distribution —✓
High-Availability —0.5
Query Distribution —✓
Replication support —✓
Developer Experience
Data types defined —✓
Logging/Auditing —✓
Object-Graph Mapper —✓
Reactive programming —·
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 —·
Authentication —·
Authorization —·
Data encryption —·