Sold by: RightData Inc
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.
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Overview
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DataTrust by RightData
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Product video
DataTrust by RightData is an enterprise data quality, ETL testing, and reconciliation platform that proves your data is accurate, complete, and consistent everywhere it moves. Built for data engineering, analytics engineering, and MDM teams running high-volume, multi-source pipelines, cloud migrations, and regulated reporting, DataTrust shifts validation from reactive, after-the-fact audits to proactive, real-time enforcement across cloud, on-premises, and hybrid environments. The platform unifies capabilities most teams buy as separate tools. Automated, no-code reconciliation compares data at field and row level across systems, such as Anaplan and Snowflake, with exception classification and automated lineage. Prebuilt ETL, migration, and parallel-run testing validates pipelines and modernization projects without custom scripting, backed by native compute for bulk validation. AI-assisted profiling and rule recommendations let teams approve data quality rules in one click, while AI anomaly detection surfaces issues before they reach production. Interactive executive dashboards make validation outcomes and reconciliation results visible, measurable, and auditable for technical and business stakeholders alike. Unlike standalone, script-heavy testing tools that engineers must babysit, DataTrust delivers continuous, AI-driven validation inside one governed platform, with executive-grade reporting and a clear path to full data observability and governance. The results are measurable: a global e-commerce leader replaced 100 hours of manual checks, cut data mismatches by 70%, and reclaimed 10 analyst-days per week, while a global banking firm reduced data downtime by 65% and accelerated error resolution by 55%. By making trusted data provable rather than assumed, DataTrust prepares your enterprise data for reliable analytics, reporting, and AI.
Highlights
- Automate data quality, ETL testing, migration validation, and cross-system reconciliation with no-code, AI-assisted rules, replacing brittle scripts and manual checks to prove data is accurate and reconciled everywhere it moves.
- Detect anomalies and prevent issues with continuous data observability, AI-driven monitoring, and automated data profiling, shifting from reactive audits to proactive, real-time enforcement across every pipeline.
- Get end-to-end data quality assurance across databases, data warehouses, ETL pipelines, and analytics platforms, with executive dashboards that make validation and reconciliation outcomes measurable, auditable, and AI-ready.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2019 2022.08.10
Deployed on AWS
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This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
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no-refunds
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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.
Additional details
Usage instructions
Usage Instructions Link: https://getrightdata.zendesk.com/hc/en-us/articles/10167651834516-Try-RDt-startup-document
Resources
Vendor resources
Support
Vendor support
RightData provides enterprise-grade support for DataTrust, including onboarding, implementation guidance, and ongoing technical assistance from our data engineering and customer success teams. Standard support covers email and web-based case submission during business hours, with response times aligned to issue severity. Premium and enterprise plans add priority response, dedicated account management, and solution architecture support.
Email: help@getrightdata.com Support and contact:
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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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Customer reviews
Information Services
Streamlining Data validation process in a Project using RightData Automation tool.
Reviewed on Jun 19, 2025
Review provided by G2
What do you like best about the product?
I like most about RightData is it's ability to perform fast and accurate reconciliation across multiple systems. It has definitely reduced manual effort and saved time. Easy to use application and user friendly.
What do you dislike about the product?
Performance can slow down when processing very large datasets. Handling of the complex data types like XML is not smooth. Such fields may require manual intervention.
What problems is the product solving and how is that benefiting you?
It helps us catch record count and data mismatch issues early in the the migration process.
Tom L.
Great client to work with
Reviewed on Dec 13, 2024
Review provided by G2
What do you like best about the product?
We use DataTrust. The UX experience is very good. It has a very visual interface that allows you to map data flow and validation rule. It has allowed us to test with 2 QA more than we could ever test before with 4 QA. It's quick to learn and be productive with. As we have gotten deeper into the details of testing, we have found a few bugs and issues we needed fixed or enhanced to satisfy our needs and RightData continues to meet with us regularly and fix issues very quickly for us. Really appreciate how the value us as a client.
What do you dislike about the product?
Occassional performance and caching issues and minor bugs around integration with our CICD tool.
What problems is the product solving and how is that benefiting you?
Its allowing use to thoroughly validate data as it is entering our date repository.
Sailaja P.
Flexible Data quality tool for data validation, profiling and reconciliation
Reviewed on Aug 12, 2023
Review provided by G2
What do you like best about the product?
Right data has been a powerful data quality tool that helped us in reconciliation while migrating data from Hana to Snowflake. It is very easy to use and doesn't need any coding to setup the validations using drag and drop functionality.
RDt team is quick to work on the issues whenever we faced the challenges.
Overall good experience working with RDt team.
RDt team is quick to work on the issues whenever we faced the challenges.
Overall good experience working with RDt team.
What do you dislike about the product?
At times performance is a concern and would like to see UI based reconciliation in feature enhancements.
What problems is the product solving and how is that benefiting you?
Comparing source to target value reconciliation, Data profiling.
We used it extensively during Hana to Snowflake migration testing. Currently using it for Data Quality checks between source and target systems
We used it extensively during Hana to Snowflake migration testing. Currently using it for Data Quality checks between source and target systems
Kaushlendra S.
Best Data Validation and Reconciliation tool and Very easy to use
Reviewed on Aug 07, 2023
Review provided by G2
What do you like best about the product?
RightData is best tool for data monitoring and Controlling in the Company .It can manage data at any level.It is very easy to use and very flexible for Integration with any tool .RightData's Support team is very strong if I need any query response comes as soon as possible and it closes my problem.
What do you dislike about the product?
RDt is best tool for Data Management and Data control in the organization.It has many advanced Feature which helps advance people to work on it .automation is very best and Support also.I do not see any issue in this tool if I speak true.
What problems is the product solving and how is that benefiting you?
RDt helps very much in data Controlling data Security.It secures the Data and helps the Advance User to learn and reducing work load .This tool is very easy to use based on required automation for features.
Ramesh B.
RightData for ETL based Data Migration
Reviewed on Sep 08, 2022
Review provided by G2
What do you like best about the product?
1. Rightdata tool helps in building the data in the way we require using the QueryStudio feature and then lets us also validate them using the ScenarioStudio features
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. 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
What do you dislike about the product?
1. At times, we have noticed UI features behaving weird and queries written were not appearing on the screen
2. New features coming in new version are not known unless asked about it
2. New features coming in new version are not known unless asked about it
What problems is the product solving and how is that benefiting you?
1. In-depth Data analysis of complex ETL transformations
2. Detailed error reporting for easy analysis
3. Comparing source to Target values across various source systems and flat files
2. Detailed error reporting for easy analysis
3. Comparing source to Target values across various source systems and flat files