GFQL vs TigerGraph

Both are property graph databases. GFQL (2023, BSD-3-Clause, Python) ranks #20 this month; TigerGraph (2017-09, Proprietary, C++) ranks #19.

Attribute GFQL #20 ▼2 Strong TigerGraph #19 ▲3 Strong
At a glance
Rank #20#19
Score 56.757.0
GitHub stars 2.6k—
Popularity 53.848.9
Activity 62.258.4
Community 57.562.4
Research 50.061.7
Fundamentals
Description A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library.A distributed property graph database (formerly GraphSQL) built for massively parallel processing and graph analytics. Uses the SQL-like GSQL query language and supports ACID transactions. Available in developer, cloud, and enterprise editions.
Vendor GraphistryTigerGraph
Model Property GraphProperty Graph
Kind query-enginedatabase
Category GrowingEstablished
First released 20232017-09
Status activeactive
License BSD-3-ClauseProprietary
Written in PythonC++
Query languages GFQL, openCypherGSQL
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLTigerGraph
Community & Business
Active development —✓
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 —0.5
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 —✓
High-Availability —✓
Query Distribution —✓
Replication support —0.5
Developer Experience
Data types defined —✓
Logging/Auditing —0.5
Object-Graph Mapper —·
Reactive programming —·
Documentation up-to-date —0.75
Binary protocol —·
CLI —✓
GUI —✓
Data Model
Multi-database —✓
Graph-native data —✓
REST API —✓
Query Language —✓
Transactions
Granular locking —·
Multiple isolation levels —·
Read committed transaction —0.5
Transaction support —✓
Schema & Security
Constraints —·
Schema support —✓
Secondary indexes —·
Server side procedures —✓
Triggers —·
Authentication —✓
Authorization —✓
Data encryption —✓