QLever vs Stardog
QLever
qlever.dev
Stardog
stardog.comSide by side
| Figure | QLever | Stardog |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 5 |
| Spec score · RDF Databases | 7.9 (#12) | 8.4 (#4) |
| Spec score · Knowledge Graph Software | 7.9 (#17) | 8.4 (#11) |
| Headquarters | Freiburg, Germany | New York, New York, United States |
| Integrations | The QLever UI exposes backend API URLs and offers query access via GET and POST examples using curl. | Connectors cover databases including Snowflake, BigQuery, Oracle, PostgreSQL, MongoDB, Elasticsearch, Salesforce, Jira, Splunk, and REST sources. |
| Scale | The project says QLever scales to more than a trillion triples on a single commodity machine. | The graph database supports up to 100 billion data points per installation and scale-out deployments up to 1 trillion triples. |
| Support | For bugs or missing features, the project asks users to search existing GitHub issues or open an issue or discussion. | Enterprise licenses include base support, a dedicated Customer Success representative, and access to Solutions Architects. |
| What it does | QLever is a graph database implementing RDF and SPARQL for loading and querying large datasets. | Stardog is a semantic AI and enterprise knowledge-graph platform that unifies data and adds business context for analytics, applications and AI. |
Plans
Stardog
- Stardog Cloud FreeFree
- Stardog FreeFree
- Stardog FreeFree
- Stardog Cloud EnterprisePriced on request
- Stardog EnterprisePriced on request
In their own words
QLever
QLever is an open-source graph database for loading and querying large RDF datasets. It implements SPARQL 1.1, including federated queries, named graphs, the Graph Store HTTP Protocol, and updates. The project says it can handle more than a trillion triples on a single commodity machine. It also provides text search over knowledge bases, context-sensitive SPARQL autocompletion, live query analysis, and spatial queries with interactive maps of large sets of geometric objects. QLever can run embedded inside C++ code without a client-server setup. Example datasets include Wikidata, Wikimedia Commons, OpenStreetMap, UniProt, PubChem, and DBLP. It is self-hosted, with official packages for Debian, Ubuntu, Ubuntu-derived distributions, and macOS, plus Docker and Podman images. The official Homebrew package supports ARM64 Apple Silicon Macs, not Intel Macs. Windows use runs Docker inside a virtual machine and may incur significant performance and RAM costs; binary releases are in progress. QLever is free under the Apache 2.0 license.