Cosmos DB vs Eclipse RDF4J

Cosmos DB is a multiple database; Eclipse RDF4J is a rdf database. Cosmos DB (2014-08, Proprietary, C++) ranks #29 this month; Eclipse RDF4J (2002, BSD-3-Clause, Java) ranks #27.

Attribute Cosmos DB #29 ▼1 Strong Eclipse RDF4J #27 ▼4 Strong
At a glance
Rank #29#27
Score 54.154.5
GitHub stars —420
Popularity 53.857.4
Activity 49.968.4
Community 39.136.7
Research 87.750.5
Fundamentals
Description A globally distributed multi-model database service on Microsoft Azure with property graph support through the Apache Gremlin API. Offers multi-region replication and multiple consistency models.A Java-based RDF framework and triple store supporting both in-memory and persistent storage. Provides SPARQL query endpoints over HTTP and a pluggable storage architecture (SAIL API) used by other triple store implementations including Ontotext GraphDB.
Vendor MicrosoftEclipse Foundation
Model MultipleRDF
Kind databasedatabase
Category EnterpriseEstablished
First released 2014-082002
Status activeactive
License ProprietaryBSD-3-Clause
Written in C++Java
Query languages Gremlin, SQLSPARQL
gdotv support yesyes

Feature scores — not surveyed for Eclipse RDF4J

Feature Cosmos DBEclipse RDF4J
Community & Business
Active development ✓—
Commercial support ✓—
Live community 0.5—
Open Source ·—
Pricing ✓—
Trendiness ✓—
Deployment
Containerization 0.5—
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 0.5—
Data Distribution ✓—
High-Availability ✓—
Query Distribution ✓—
Replication support ✓—
Developer Experience
Data types defined ·—
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 0.5—
Schema & Security
Constraints ·—
Schema support ·—
Secondary indexes ✓—
Server side procedures ✓—
Triggers ✓—
Authentication ✓—
Authorization ✓—
Data encryption ✓—