Apache HugeGraph vs QLever

Apache HugeGraph is a property graph database; QLever is a rdf database. Apache HugeGraph (2018-08, Apache-2.0, Java) ranks #45 this month; QLever (2017-11, Apache-2.0, C++) ranks #6.

Attribute Apache HugeGraph #45 ▲4 Growing QLever #6 ▼1 Leader
At a glance
Rank #45#6
Score 48.769.6
GitHub stars 3.2k920
Popularity 60.256.9
Activity 51.075.6
Community 31.368.0
Research 50.085.3
Fundamentals
Description A TinkerPop 3-compliant property graph database with a pluggable storage layer supporting RocksDB, Cassandra, and HBase. Uses edge-cut partitioning for distributed graph processing.A SPARQL engine capable of querying very large knowledge graphs (including complete Wikidata) on a single machine. Implements full SPARQL 1.1 with autocompletion and text search.
Vendor Apache Software FoundationUniversity of Freiburg
Model Property GraphRDF
Kind databasedatabase
Category EstablishedEmerging
First released 2018-082017-11
Status activeactive
License Apache-2.0Apache-2.0
Written in JavaC++
Query languages Gremlin, openCypherSPARQL
gdotv support noyes

Feature scores — not surveyed for QLever

Feature Apache HugeGraphQLever
Community & Business
Active development ✓—
Commercial support ·—
Live community ✓—
Open Source ✓—
Pricing ·—
Trendiness ✓—
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 ·—
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 ✓—
Transactions
Granular locking ✓—
Multiple isolation levels 0.5—
Read committed transaction ✓—
Transaction support ✓—
Schema & Security
Constraints ·—
Schema support ✓—
Secondary indexes ✓—
Server side procedures ·—
Triggers ·—
Authentication ✓—
Authorization ✓—
Data encryption ·—