PandaDB vs QLever
PandaDB is a property graph database; QLever is a rdf database. PandaDB (2019, Apache-2.0, Scala) ranks #125 this month; QLever (2017-11, Apache-2.0, C++) ranks #6.
| Attribute | PandaDB | QLever |
|---|---|---|
| At a glance | ||
| Rank | #125 | #6 |
| Score | 26.5 | 69.6 |
| GitHub stars | 8 | 927 |
| Popularity | 30.9 | 56.9 |
| Activity | 30.2 | 75.6 |
| Community | 30.3 | 68.0 |
| Research | 55.2 | 85.3 |
| Fundamentals | ||
| Description | A distributed property graph database built on Neo4j, extending it with CypherPlus for managing both structured and unstructured data with AI model inference. | 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 | — | University of Freiburg |
| Model | Property Graph | RDF |
| Kind | database | database |
| Category | Emerging | Emerging |
| First released | 2019 | 2017-11 |
| Status | inactive — No development activity since 2022 | active |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Scala | C++ |
| Query languages | openCypher | SPARQL |
| gdotv support | no | yes |
Feature scores — not surveyed for QLever
| Feature | PandaDB | QLever |
|---|---|---|
| Community & Business | ||
| Active development | 0.5 | — |
| 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 | 0.5 | — |
| 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 | · | — |
Links
- PandaDB · website · github · full profile
- QLever · website · github · full profile