GFQL vs IBM System G

GFQL is a property graph database; IBM System G is a other database. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; IBM System G (2013, Proprietary, C++) is not ranked.

Attribute GFQL #20 ▼2 Strong IBM System G — ▼7 Insufficient data
At a glance
Rank #20— Not ranked
Score 56.722.2
GitHub stars 2.6k—
Popularity 53.844.9
Activity 62.2—
Community 57.5—
Research 50.051.6
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 discontinued IBM Research graph platform supporting both property graph and RDF models. Used compressed sparse vector storage with temporal offsets and included visual query tools.
Vendor GraphistryIBM
Model Property GraphOther
Kind query-enginedatabase
Category GrowingEnterprise
First released 20232013
Status activedeprecated — IBM discontinued System G. No longer available.
License BSD-3-ClauseProprietary
Written in PythonC++
Query languages GFQL, openCypherGremlin
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLIBM System G
Community & Business
Active development —·
Commercial support —·
Live community —·
Open Source —·
Pricing —·
Trendiness —·
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 —·
Distribution
Cluster Re-balancing —·
Data Distribution —✓
High-Availability —·
Query Distribution —✓
Replication support —·
Developer Experience
Data types defined —0.5
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 —·
Secondary indexes —·
Server side procedures —·
Triggers —·
Authentication —·
Authorization —·
Data encryption —·