GFQL vs TypeDB

GFQL is a property graph database; TypeDB is a other database. GFQL (2023, BSD-3-Clause, Python) ranks #19 this month; TypeDB (2016, MPL-2.0, Rust) ranks #9.

Attribute GFQL #19 ▲2 Strong TypeDB #9 ▲3 Strong
At a glance
Rank #19#9
Score 58.963.6
GitHub stars 2.6k4.4k
Popularity 62.368.7
Activity 63.777.7
Community 68.866.4
Research 49.649.6
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 polymorphic database that natively models inheritance hierarchies, dependencies, and conceptual schemas using its TypeQL query language. Supports clustering for scalability and a cloud-agnostic deployment model.
Vendor GraphistryVaticle
Model Property GraphOther
Kind query-enginedatabase
Category GrowingGrowing
First released 20232016
Status activeactive
License BSD-3-ClauseMPL-2.0
Written in PythonRust
Query languages GFQL, openCypherTypeQL
gdotv support nono

Feature scores — not surveyed for GFQL

Feature GFQLTypeDB
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 0.5
Transactions
Granular locking ·
Multiple isolation levels 0.5
Read committed transaction
Transaction support
Schema & Security
Constraints
Schema support
Secondary indexes
Server side procedures ·
Triggers
Authentication
Authorization
Data encryption ·