BrightstarDB vs GFQL

BrightstarDB is a rdf database; GFQL is a property graph database. BrightstarDB (2012-02, MIT, C#) ranks #76 this month; GFQL (2023, BSD-3-Clause, Python) ranks #19.

Attribute BrightstarDB #76 ▲4 Growing GFQL #19 ▲2 Strong
At a glance
Rank #76#19
Score 42.858.9
GitHub stars 4642.6k
Popularity 50.762.3
Activity 31.063.7
Community 35.368.8
Research 49.649.6
Fundamentals
Description A .NET-native RDF store with SPARQL support and binding of RDF resources to .NET dynamic objects. Supports multi-threaded reads with ACID transactions but no horizontal scaling.A dataframe-native graph query language with vectorized processing and optional GPU acceleration. Supports Cypher-like syntax, embedded within the PyGraphistry library.
Vendor Graphistry
Model RDFProperty Graph
Kind embeddedquery-engine
Category EmergingGrowing
First released 2012-022023
Status inactive — No active development since 2015.active
License MITBSD-3-Clause
Written in C#Python
Query languages SPARQL, LINQGFQL, openCypher
gdotv support nono

Feature scores — not surveyed for GFQL

Feature BrightstarDBGFQL
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 0.75
Operating on Windows 0.75
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 ·