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    Ontopic Studio

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    Sold by: Ontopic 
    Free Trial
    Easily build knowledge graphs from relational data with Ontopic Studio
    Listing Thumbnail

    Ontopic Studio

     Info
    Sold by: Ontopic 

    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

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 2

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t3.large) in the US East (N. Virginia) Region. View pricing details

    $3.083/hour

    Pricing

    Free trial

    Try this product at no cost 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.

    Ontopic Studio

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    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 covering 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.

    Usage costs (8)

     Info
    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

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    Resources

    Vendor resources

    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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