QLever vs Sparksee

QLever is a rdf database; Sparksee is a property graph database. QLever (2017-11, Apache-2.0, C++) ranks #10 this month; Sparksee (2008, Proprietary, C++) ranks #98.

Attribute QLever #10 ▼2 Strong Sparksee #98 ▲20 Growing
At a glance
Rank #10#98
Score 63.138.3
GitHub stars 897
Popularity 55.326.1
Activity 78.431.9
Community 62.435.3
Research 79.149.8
Fundamentals
Description 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.A property graph database (formerly DEX) that stores graphs as labelled multigraphs using bitmap data structures for compact representation. Supports ACID transactions and offers free licenses for evaluation and research use.
Vendor University of FreiburgSparsity Technologies
Model RDFProperty Graph
Kind databasedatabase
Category EmergingEstablished
First released 2017-112008
Status activeactive
License Apache-2.0Proprietary
Written in C++C++
Query languages SPARQLopenCypher
gdotv support yesno

Feature scores — not surveyed for QLever

Feature QLeverSparksee
Community & Business
Active development ·
Commercial support
Live community ·
Open Source ·
Pricing ·
Trendiness 0.5
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
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
Schema & Security
Constraints
Schema support
Secondary indexes
Server side procedures ·
Triggers ·
Authentication ·
Authorization ·
Data encryption