QLever - QLeverize Your Data

QLeverize — by the makers of QLever

Knowledge graphs are becoming critical infrastructure for enterprises managing large-scale, interconnected data. Yet, many existing solutions struggle with scalability, performance, and cost—locking organizations into proprietary ecosystems with high operational overhead.

This is where QLever comes in. As the fastest and most scalable open-source RDF graph database, QLever delivers unprecedented performance—allowing you to load and query hundreds of billions of triples on a single commodity machine.

QLeverize — by the makers of QLever — offers enterprise subscriptions & support for organizations seeking faster implementations, advanced scalability, and expert assistance tailored to their needs.

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Why Choose QLever?

Unmatched Speed and Efficiency

QLever answers simple queries in milliseconds and can process large classes of complex queries an order of magnitude faster than other graph databases.

Effortless Scalability

Whether working with millions or billions of triples, QLever scales seamlessly, managing large datasets with ease.

Cost-Effective on Commodity Hardware

Save on hardware and cloud costs with QLever’s efficient design, which performs exceptionally well without clusters or specialized setups.

Proven Track Record

Trusted by global projects like Wikidata, UniProt, PubChem, OpenStreetMap, or Dblp. Explore our public SPARQL endpoints and experience the power of QLever firsthand.

Comprehensive Features

Full SPARQL 1.1 support (by Q2 2025), context-sensitive autocompletion, live query analysis, basic GeoSPARQL support with powerful visualization, integrated full-text search, and more.

Open-Source with Enterprise Support

While QLever is fully open-source, we offer enterprise subscriptions with premium support for high availability, scaling, and private issue tracking.

Enterprise Subscriptions & Support

Free (Community support)

Fully feature-complete and free to use.
Community support available via GitHub Issues and Discussions for bug reports and general advice.

Note: No assistance is provided for query optimization, profiler analysis, or internal system debugging for non-open-data datasets.

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Standard Subscription

Perfect for organizations starting with QLever or expanding datasets and query demands.
Ideal for moderate workloads with growing scalability needs.

Support: Basic or priority support, private issue tracking, and quality-assured binaries.

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Enterprise Subscription

Perfect for large-scale knowledge graphs that require continuous response times, extensive query capacity, and tailored optimizations.
Ideal for workloads requiring custom features and in-depth query optimization.

Support: Priority support, priority feature requests, private issue tracking and quality-assured binaries.

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Other Services

At QLeverize, we are dedicated to helping our clients tailor QLever to their unique needs. Whether you're working with small-scale deployments or large-scale knowledge graphs, our expertise allows us to fast-track your implementation and ensure seamless integration into your workflows, so you can achieve exceptional results more efficiently.

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Infrastructure Options

Single-Server Setup: Cost-effective solution for small to medium datasets.
High Availability (HA): Ensures continuous operation with failover capability.
Large-Scale Deployments: Multi-machine setup for maximum availability and throughput.

Service Level Agreements (SLAs)

Customizable SLAs tailored to your operational needs, including guaranteed response times, uptime commitments, and 24/7 critical support.
Contact us to develop an SLA plan aligned with your requirements and budget.

QLever as a Service

Fully hosted and managed service available on major cloud platforms like Microsoft Azure or Amazon AWS.
Self-hosted deployments for organizations that prefer full control over their infrastructure.
Deploy QLever tailored to your needs or pre-loaded with datasets like UniProt, PubChem, Wikidata, and OpenStreetMap. No in-house infrastructure needed.

Embedded Environments

Optimized builds for memory and CPU efficiency, ideal for automotive, medical devices, and other regulated industries.
Supports certifications and regulatory standards.