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
Features and programs
Financing for AWS Marketplace purchases
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
- Option to show classes and properties by label
- Alerts in mapping for missing class or property
- Class/property IRI can be copied on mapping entry
- Show SPARQL endpoint URL
- Pop-ups can now be dragged
Fixes:
- Performance issue with Oracle for retrieving table metadata in high-latency settings
- Project export made robust to invalid data sources
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.
