Dgraph vs Google Cayley

Dgraph is a property graph database; Google Cayley is a rdf database. Dgraph (2015-12, Apache-2.0, Go) ranks #3 this month; Google Cayley (2014-06, Apache-2.0, Go) ranks #62. They differ on 21 of 46 surveyed features.

Attribute Dgraph #3 = Leader Google Cayley #62 ▲2 Growing
At a glance
Rank #3#62
Score 67.646.1
GitHub stars 21.8k15.1k
Popularity 79.771.9
Activity 77.230.5
Community 67.330.6
Research 62.3
Fundamentals
Description A distributed graph database with horizontal scaling and ACID transactions. Uses its own query language (DQL) derived from GraphQL, with automatic shard rebalancing across cluster nodes.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.
Vendor IstariCayley Community
Model Property GraphRDF
Kind databasedatabase
Category EnterpriseEmerging
First released 2015-122014-06
Status activeinactive — No significant development activity since 2020.
License Apache-2.0Apache-2.0
Written in GoGo
Query languages DQL, GraphQLGizmo, GraphQL, MQL
gdotv support yesno

Feature scores 21 of 46 rows differ

Feature DgraphGoogle Cayley
Community & Business
Active development 0.5
Commercial support ·
Live community 0.5·
Open Source
Pricing ··
Trendiness 0.250.75
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
Logging/Auditing 0.5
Object-Graph Mapper ·
Reactive programming ··
Documentation up-to-date 0.5
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 ·0.5
Schema support 0.5
Secondary indexes
Server side procedures ··
Triggers ··
Authentication ·
Authorization ·
Data encryption ·