Ontopic Studio empowers data engineers and teams with the seamless capability to craft sophisticated knowledge graphs from complex relational data with ease.

In this environment, users can build a knowledge graph by connecting the data sources to the classes and properties of shared or custom data models (ontologies) in a scalable way. The knowledge graph can grow steadily, starting from the most urgent needs and adapting to changing data and business requirements, giving users complete visibility of their data integration project.

Ontopic Studio reads data from all major data lakes and data lakehouses, federators and operational databases, including Snowflake, Databricks, AWS Redshift, Google BigQuery, Oracle MS SQL Server, PostgreSQL, MySQL, Dremio, Denodo, Trino, Presto, AWS Athena and many more.

The software has an intuitive interface for a welcoming and productive user experience, which results from many years of experience in knowledge graph projects.

The knowledge graph project is designed in the open standard format (R2RML) and can be deployed in a graph database and as a virtual knowledge graph (OBDA).

Find out how you can save up to four times more resources building knowledge graphs with Ontopic Studio.