Listing Thumbnail

    DataTrust

     Info
    Deployed on AWS
    DataTrust is an enterprise data quality and observability platform that automates data validation, reconciliation, profiling, and monitoring. It ensures trusted, compliant, and AI-ready data across cloud and hybrid environments for reliable analytics and data products.

    Overview

    DataTrust by RightData is an enterprise Data Quality, Observability, and Governance platform that helps organizations ensure trusted, accurate, and reliable data across cloud and hybrid environments. It provides automated data validation, reconciliation, profiling, and continuous monitoring to detect anomalies and maintain data integrity, enabling trusted analytics and AI-ready data. DataTrust supports end-to-end data quality assurance across databases, data warehouses, data lakes, ETL pipelines, and analytics platforms. It enables automated testing, schema validation, and reconciliation to ensure data consistency during migrations and pipeline transformations. With built-in observability, alerting, and audit trails, organizations can proactively identify and resolve data issues. Designed for enterprise scalability and compliance, DataTrust improves data reliability, supports audit readiness, and integrates with CI/CD pipelines to accelerate testing and reduce operational risk. It empowers organizations to deliver trusted data products and make confident, data-driven decisions.DataTrust supports end-to-end data quality assurance across modern data ecosystems, including databases, data warehouses, data lakes, ETL pipelines, APIs, and analytics platforms. It enables automated testing, schema validation, and dataset reconciliation to ensure data consistency during data migrations, pipeline transformations, and production operations. With built-in observability, alerting, and incident tracking, organizations can proactively identify and resolve data issues before they impact analytics, reporting, or AI models. Designed for scalability and enterprise governance, DataTrust enables secure, compliant, and automated data quality management across distributed environments. It helps organizations improve data trust, reduce operational risk, accelerate analytics and AI initiatives, and support regulatory compliance requirements. By delivering continuous data reliability and visibility, DataTrust empowers enterprises to operationalize trusted data for analytics, machine learning, and mission-critical business decision-making. RightData (RDt) product is targeted to improve your organization's data quality, consistency reliability, and completeness. It also allows for accelerating the test cycles thereby reducing the cost of delivery by enabling Continuous Integration and Continuous Deployment (CI/CD). It allows for automation of the internal data audit process and helps improve coverage thereby increasing the confidence factor of audit readiness of your organization.

    Highlights

    • Automates Data Quality, Validation, and Reconciliation to ensure trusted and reliable data across cloud and hybrid environments
    • Provides Data Observability, Profiling, and Continuous Monitoring to detect anomalies and maintain data reliability
    • Enables End-to-End Data Quality Assurance across databases, data warehouses, ETL pipelines, and analytics platforms

    Details

    Delivery method

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

    Latest version

    Operating system
    Win2019 2022.08.10

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    no-refunds

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    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.

    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.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.