GFQL vs Ontotext GraphDB

GFQL is a property graph database; Ontotext GraphDB is a rdf database. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; Ontotext GraphDB (2005, Proprietary, Java) ranks #68.

Attribute GFQL #20 ▼2 Strong Ontotext GraphDB #68 ▼2 Growing
At a glance
Rank #20#68
Score 56.744.1
GitHub stars 2.6k—
Popularity 53.843.9
Activity 62.252.8
Community 57.530.3
Research 50.050.0
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 RDF triplestore with ACID transactions, available in free, standard, and enterprise editions. Supports semantic reasoning and inference with configurable rule sets.
Vendor GraphistryGraphwise
Model Property GraphRDF
Kind query-enginedatabase
Category GrowingEnterprise
First released 20232005
Status activeactive
License BSD-3-ClauseProprietary
Written in PythonJava
Query languages GFQL, openCypherSPARQL
gdotv support noyes

Feature scores — not surveyed for GFQL

Feature GFQLOntotext GraphDB
Community & Business
Active development —✓
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 —·
Data versioning support —✓
Live backups —0.5
Distribution
Cluster Re-balancing —·
Data Distribution —0.75
High-Availability —✓
Query Distribution —0.75
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 —✓
Schema support —0.5
Secondary indexes —✓
Server side procedures —✓
Triggers —·
Authentication —✓
Authorization —✓
Data encryption —·