GFQL vs NebulaGraph

Both are property graph databases. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; NebulaGraph (2019-05, Apache-2.0, C++) ranks #35.

Attribute GFQL #20 ▼2 Strong NebulaGraph #35 ▲2 Strong
At a glance
Rank #20#35
Score 56.750.4
GitHub stars 2.6k12.5k
Popularity 53.875.5
Activity 62.234.6
Community 57.537.9
Research 50.052.8
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 distributed property graph database with separated storage and computation layers, enabling horizontal scaling. Uses a custom SQL-like query language (nGQL) and supports ACID transactions.
Vendor GraphistryVesoft
Model Property GraphProperty Graph
Kind query-enginedatabase
Category GrowingEstablished
First released 20232019-05
Status activeactive
License BSD-3-ClauseApache-2.0
Written in PythonC++
Query languages GFQL, openCyphernGQL
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLNebulaGraph
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 —0.5
SaaS offering —0.5
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 —✓
Logging/Auditing —✓
Object-Graph Mapper —·
Reactive programming —·
Documentation up-to-date —✓
Binary protocol —✓
CLI —✓
GUI —✓
Data Model
Multi-database —·
Graph-native data —✓
REST API —0.5
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 —·