Eclipse RDF4J vs TerminusDB

Eclipse RDF4J is a rdf database; TerminusDB is a multiple database. Eclipse RDF4J (2002, BSD-3-Clause, Java) ranks #27 this month; TerminusDB (2019-10, Apache-2.0, Prolog) ranks #30.

Attribute Eclipse RDF4J #27 ▼4 Strong TerminusDB #30 ▼5 Strong
At a glance
Rank #27#30
Score 54.553.6
GitHub stars 4233.5k
Popularity 57.462.4
Activity 68.462.2
Community 36.734.7
Research 50.550.0
Fundamentals
Description 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.A graph database and document store that builds knowledge graphs from JSON documents. Uses git-like delta encoding with an append-only layered data model, enabling version control and collaboration workflows.
Vendor Eclipse FoundationDFRNT
Model RDFMultiple
Kind databasedatabase
Category EstablishedEmerging
First released 20022019-10
Status activeactive
License BSD-3-ClauseApache-2.0
Written in JavaProlog
Query languages SPARQLWOQL, GraphQL
gdotv support yesno

Feature scores — not surveyed for Eclipse RDF4J

Feature Eclipse RDF4JTerminusDB
Community & Business
Active development —✓
Commercial support —✓
Live community —0.75
Open Source —✓
Pricing —✓
Trendiness —✓
Deployment
Containerization —✓
Work as dedicated instance —✓
Work as embedded —·
Testing in-memory version —·
Platform
Operating on Linux —✓
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 —0.5
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 —·