Overview
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.
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.
- Manage large data integration projects with the full expressivity of standard mapping languages in an intuitive and productive no-code environment that allows the user to focus more on business questions instead of technicalities.
- 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
Typical total price
$3.083/hour
Pricing
Free trial
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t3.medium | $3.00 | $0.042 | $3.042 |
t3.large Recommended | $3.00 | $0.083 | $3.083 |
t3.xlarge | $3.00 | $0.166 | $3.166 |
t3.2xlarge | $3.00 | $0.333 | $3.333 |
t3a.medium | $3.00 | $0.038 | $3.038 |
t3a.large | $3.00 | $0.075 | $3.075 |
t3a.xlarge | $3.00 | $0.15 | $3.15 |
t3a.2xlarge | $3.00 | $0.301 | $3.301 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Refund is given for the first three months of usage.
Legal
Vendor terms and conditions
Content disclaimer
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
Features
- Support materialization in RDF files
- Different formats supported (turtle , RDF/XML, N-Triples, N-Quads, TriG, JSON-LD). The resulting file can be compressed as zip or gzip
- Ontopic Studio shows the list of already generated files and downloads or deletes them
- Disabled by default, it can be configured to save on S3 or local storage
- Only users who have access to the project can create and stop the endpoint or materialize, download, and remove the materialization
- Asynchronous creation of the SPARQL endpoint and materialization
- Notifications for asynchronous tasks ongoing and completed, keeping users updated on task progress
- Ongoing tasks can be canceled
- Configure ontop configuration keys within the Settings section of Ontopic Studio
- Visual alert for missing unique constraints on lenses
- Add and show comments in mapping, a comment for each mapping entry
Bugs and Improvements
- Improve the tooltip display
- Consisting colors for notification messages
- Fixed error encountered while editing columns with complex transformations
- Fix error removing users
- Fix handling of different quotes in lens
- Fix label in ontology with no required language tag
- Fix hide projects
Additional details
Usage instructions
Visit https://docs.ontopic.ai/studio/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.