GFQL vs HyperGraphDB

GFQL is a property graph database; HyperGraphDB is a other database. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; HyperGraphDB (2007, Apache-2.0, Java) ranks #58.

Attribute GFQL #20 ▼2 Strong HyperGraphDB #58 ▼2 Growing
At a glance
Rank #20#58
Score 56.745.4
GitHub stars 2.6k250
Popularity 53.841.5
Activity 62.232.4
Community 57.560.5
Research 50.053.7
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 embedded database for storing hypergraphs, where edges can connect any number of vertices. Uses BerkeleyDB for low-level storage and supports ACID transactions with MVCC conflict detection.
Vendor Graphistry—
Model Property GraphOther
Kind query-engineembedded
Category GrowingEmerging
First released 20232007
Status activeinactive — Sporadic maintenance only since 2024
License BSD-3-ClauseApache-2.0
Written in PythonJava
Query languages GFQL, openCypherJava API
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLHyperGraphDB
Community & Business
Active development —0.5
Commercial support —·
Live community —0.5
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 —0.5
SaaS offering —·
Operations
Automatic updates —·
Client side caching —✓
Data versioning support —✓
Live backups —·
Distribution
Cluster Re-balancing —·
Data Distribution —0.25
High-Availability —·
Query Distribution —0.25
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 —0.5
Transactions
Granular locking —·
Multiple isolation levels —0.5
Read committed transaction —0.25
Transaction support —✓
Schema & Security
Constraints —✓
Schema support —0.5
Secondary indexes —✓
Server side procedures —·
Triggers —0.5
Authentication —·
Authorization —·
Data encryption —·