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
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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.
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Usage Instructions Link: https://getrightdata.zendesk.com/hc/en-us/articles/10167651834516-Try-RDt-startup-document
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Customer reviews
Streamlining Data validation process in a Project using RightData Automation tool.
Great client to work with
Flexible Data quality tool for data validation, profiling and reconciliation
RDt team is quick to work on the issues whenever we faced the challenges.
Overall good experience working with RDt team.
We used it extensively during Hana to Snowflake migration testing. Currently using it for Data Quality checks between source and target systems
Best Data Validation and Reconciliation tool and Very easy to use
RightData for ETL based Data Migration
2. The validation reports gives an in-depth analysis of what went wrong along with the coloured visualisation for easy reporting and failure analysis
3. The tool was customised to suit our need to support file types like JSON, which was very useful for analysis
4. Querystudio has many inbuilt transformation features and scenario studio also has in-built validations which are just a drag and drop features
5. Above all, the support from RightData team was excellent
2. New features coming in new version are not known unless asked about it
2. Detailed error reporting for easy analysis
3. Comparing source to Target values across various source systems and flat files