Build your Enterprise Knowledge Graph at scale
Ontopic Suite is the virtualization environment for building knowledge graphs from relational data, at scale. The intuitive no- code environment enables easy onboarding and collaboration. Quickly connect to cloud and on-premises data and create your semantic layer as a true knowledge graph.
Build Enterprise Knowledge Graphs from relational data
Integrate structured or semi-structured data from multiple data sources simultaneously. Connect with cloud data platforms such as Snowflake, Databricks, and more.
Read more on how to connect to your data sources from in our technical documentation
Save your team's time and resources using the powerful modeling environment for mapping data sources to classes and properties from the ontology.
Maintain a view from above of all your mapping entries: search, edit, and create new ones. Collaborate with colleagues and track inefficiencies. Test your graph instantly with your own queries.
Build your knowledge graph using a structured, future-proof, and solid methodology.
Have a look at our quickstart to see how easy it is to build a working knowledge graph.
The knowledge graph can also be accessed with standard enterprise software, be it PowerBI or Tableau, Metabase or Pandas. The innovative Semantic SQL endpoint is seen as a standard SQL database, but with as much semantics as possible in the database schema. Many smart innovations lead the user of business intelligence software to informed decisions in much reduced time.
See the list of validated clients and how to connect to the Semantic SQL endpoint.
SPARQL is clearly a first- class citizen for Ontopic Suite. The flexible deployment functionalities, based on the ideas of Git and flexible RBAC authorization models, allow to quickly and securely deploy virtual SPARQL endpoints.
Interoperability is paramount for Suite. Not only does it support most standards for linked data and interacts with standard SQL-compliant software, but it is also integratable with existing data landscapes and with third- party products, thanks to its powerful web API.
Peek at the technical documentation to know more about how to integrate Ontopic Suite with your systems.
Compare editions
Ontopic Suite Desktop
Install it on your Windows laptop
- Mapping Editor
- Ontology Manager
- Extensive import and export
- Semantic SQL endpoint
- Materialization to RDF
- Sparql Endpoint for interactive mapping development
- Extensive list of data connectors
- Multi-User
- Access control
- Git Repository
- Deploy production enterprise-grade SPARQL endpoint
- Web API
Ontopic Studio AWS
The ideal solution if your data is in the Amazon cloud
- Mapping Editor
- Ontology Manager
- Extensive import and export
- Semantic SQL endpoint
- Materialization to RDF
- Sparql endpoint for interactive mapping development
- Extensive list of data connectors
- Multi-user
- Access control
- Git Repository
- Deploy production enterprise-grade SPARQL endpoint
- Web API
Ontopic Suite
The most flexible solution for enterprise use
- Mapping Editor
- Ontology Manager
- Extensive import and export
- Semantic SQL endpoint
- Materialization to RDF
- Sparql Endpoint for interactive mapping development
- Extensive list of data connectors
- Multi-user
- Access control
- Git Repository
- Deploy production enterprise-grade SPARQL endpoint
- Web API
Start creating your enterprise knowledge graph with Ontopic Suite
Request a trial license by filling out the form now
Book a demoOr fill out the form for a trial version of Ontopic Studio today.
Academic Licensing Program
Ontopic Suite is available free of charge to universities and other educational and research institutions for teaching and for research through our Academic Licensing Program.
Mail your request to a@b.c from your institutional mail account.
If you plan to have classes related to data mapping, please, contact us in advance. We can then coordinate the most effective way for your students to start with Ontopic Suite.
