DataStax Enterprise vs Eclipse RDF4J

DataStax Enterprise is a property graph database; Eclipse RDF4J is a rdf database. DataStax Enterprise (2016-04, Proprietary, Java) ranks #50 this month; Eclipse RDF4J (2002, BSD-3-Clause, Java) ranks #25.

Attribute DataStax Enterprise #50 ▲3 Growing Eclipse RDF4J #25 = Strong
At a glance
Rank #50#25
Score 49.957.1
GitHub stars 412
Popularity 64.065.6
Activity 77.9
Community 35.337.7
Research 49.850.0
Fundamentals
Description A property graph database built on Apache Cassandra, forked from the Titan graph database. Uses TinkerPop for graph traversal and includes DataStax Studio for interactive querying and visualization.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 IBMEclipse Foundation
Model Property GraphRDF
Kind databasedatabase
Category EstablishedEstablished
First released 2016-042002
Status activeactive
License ProprietaryBSD-3-Clause
Written in JavaJava
Query languages Gremlin, CQLSPARQL
gdotv support yesyes

Feature scores — not surveyed for Eclipse RDF4J

Feature DataStax EnterpriseEclipse RDF4J
Community & Business
Active development
Commercial support
Live community 0.25
Open Source ·
Pricing ·
Trendiness 0.25
Deployment
Containerization
Work as dedicated instance
Work as embedded ·
Testing in-memory version ·
Platform
Operating on Linux
Operating on Windows 0.5
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
Logging/Auditing
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
Schema support
Secondary indexes
Server side procedures ·
Triggers
Authentication
Authorization
Data encryption