Eclipse RDF4J vs TigerGraph

Eclipse RDF4J is a rdf database; TigerGraph is a property graph database. Eclipse RDF4J (2002, BSD-3-Clause, Java) ranks #25 this month; TigerGraph (2017-09, Proprietary, C++) ranks #26.

Attribute Eclipse RDF4J #25 = Strong TigerGraph #26 ▲3 Strong
At a glance
Rank #25#26
Score 57.157.0
GitHub stars 412
Popularity 65.647.8
Activity 77.983.8
Community 37.752.1
Research 50.060.0
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 distributed property graph database (formerly GraphSQL) built for massively parallel processing and graph analytics. Uses the SQL-like GSQL query language and supports ACID transactions. Available in developer, cloud, and enterprise editions.
Vendor Eclipse FoundationTigerGraph
Model RDFProperty Graph
Kind databasedatabase
Category EstablishedEstablished
First released 20022017-09
Status activeactive
License BSD-3-ClauseProprietary
Written in JavaC++
Query languages SPARQLGSQL
gdotv support yesno

Feature scores — not surveyed for Eclipse RDF4J

Feature Eclipse RDF4JTigerGraph
Community & Business
Active development
Commercial support
Live community 0.5
Open Source ·
Pricing ·
Trendiness 0.5
Deployment
Containerization
Work as dedicated instance
Work as embedded
Testing in-memory version 0.5
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 0.5
Developer Experience
Data types defined
Logging/Auditing 0.5
Object-Graph Mapper ·
Reactive programming ·
Documentation up-to-date 0.75
Binary protocol ·
CLI
GUI
Data Model
Multi-database
Graph-native data
REST API
Query Language
Transactions
Granular locking ·
Multiple isolation levels ·
Read committed transaction 0.5
Transaction support
Schema & Security
Constraints ·
Schema support
Secondary indexes ·
Server side procedures
Triggers ·
Authentication
Authorization
Data encryption