Google Cayley vs TypeDB

Google Cayley is a rdf database; TypeDB is a other database. Google Cayley (2014-06, Apache-2.0, Go) ranks #72 this month; TypeDB (2016, MPL-2.0, Rust) ranks #7. They differ on 25 of 46 surveyed features.

Attribute Google Cayley #72 ▼5 Growing TypeDB #7 ▲1 Leader
At a glance
Rank #72#7
Score 42.868.4
GitHub stars 15.1k4.5k
Popularity 59.575.0
Activity 36.675.2
Community 30.363.3
Research —50.0
Fundamentals
Description An open-source RDF graph database inspired by the graph database behind Google's Knowledge Graph (Freebase). Features pluggable backend storage and multiple query language support.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 Cayley CommunityVaticle
Model RDFOther
Kind databasedatabase
Category EmergingGrowing
First released 2014-062016
Status inactive — No significant development activity since 2020.active
License Apache-2.0MPL-2.0
Written in GoRust
Query languages Gizmo, GraphQL, MQLTypeQL
gdotv support nono

Feature scores 25 of 46 rows differ

Feature Google CayleyTypeDB
Community & Business
Active development 0.5✓
Commercial support ·✓
Live community ·✓
Open Source ✓✓
Pricing ·✓
Trendiness 0.75✓
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 0.5·
Data versioning support ··
Live backups ··
Distribution
Cluster Re-balancing ··
Data Distribution ✓·
High-Availability 0.5✓
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 0.5✓
Schema support 0.5✓
Secondary indexes ✓✓
Server side procedures ··
Triggers ·✓
Authentication ·✓
Authorization ·✓
Data encryption ··