Sold by: OntopicÂ
Deployed on AWS
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Easily build and run knowledge graphs from relational data with Ontopic Suite
Overview
Ontopic Suite empowers data engineers and teams with the seamless capability to craft sophisticated knowledge graphs from complex relational data with ease.
Users can build a knowledge graph by connecting the data sources to 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 Suite 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 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.
The revolutionary Semantic SQL endpoint makes the knowledge graph accessible to a much wider audience, allowing applications, like Microsoft PowerBI, Tableau, Pandas and many more to experience of context rich, semantic data, without any additional configuration
The software has an intuitive interface for a welcoming and productive user experience, which results from many years of experience in knowledge graph projects.
Find out how you can save up to four times more resources building knowledge graphs with Ontopic Suite.
Highlights
- Build knowledge graphs of any size from relational data. Integrate data from data lakes, data lakehouses and relational databases faster and easier than with conventional methods. Keep a complete panoramic of the knowledge graph design process at all times.
- Deploy knowledge graphs instantly accessible via SQL and SPARQL, with all data automatically available in SQL without setup overhead . Leverage knowledge graph capabilities through familiar SQL and connect seamlessly from BI tools like Power BI and Metabase.
- Ontopic Studio relies on open industry standards for mappings and data models (ontologies) and is highly interoperable with other platforms. Enjoy the option of choosing between triplestores and virtual knowledge graph engines.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2
Deployed on AWS
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $4.80 |
t3.xlarge | $4.80 |
t3a.medium | $4.80 |
t3.2xlarge | $4.80 |
t3.medium | $4.80 |
t3a.2xlarge | $4.80 |
t3a.xlarge | $4.80 |
t3a.large | $4.80 |
Vendor refund policy
Refund is given for the first three months of usage.
Legal
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Ontopic Suite evolved from a knowledge graph design into a complete knowledge graph virtualization platform and has become Ontopic Suite.
New features:
- Deploy virtual knowledge graphs directly from Ontopic Suite
- Manage Ontopic Suite through a public Web API allowing an easy integration with existing and third party solutions
- Semantic SQL Endpoint: Access the virtual knowledge graph in SQL from many popular BI and analytics applications.
- The virtual SQL schema is generated automatically to provide an optimal knowledge graph experience and does not require any additional configuration
- Role Support: Use roles to share projects and deployments
For more details: https://docs.ontopic.ai/suite/releases.html#_2025-1-2-october-3-2025Â
Additional details
Usage instructions
Visit https://docs.ontopic.ai/suite/install/aws-marketplace.html for usage instructions and FAQ.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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