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Datagaps DataOps Suite

Transform your data management with Datagaps DataOps Suite—automated testing, validation, and quality monitoring for trusted analytics.

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# Datagaps | Gen AI-Powered Automated Cloud Data Testing

## About Datagaps
- [AI-powered DataOps platform for automated data testing, validation, and quality monitoring. Ensure trusted data for analytics and compliance.](https://www.datagaps.com): Datagaps, founded in 2010, specializes in data testing automation solutions that build trust in enterprise data and analytics. Our offerings include solutions for Data Validation, ETL Testing Automation, Data Reconciliation, Data Quality Testing, Test Data Generation, and BI Testing Automation.
We cater to various data warehousing projects and BI platforms, supporting tools like Snowflake, Tableau, Amazon Redshift, Oracle Analytics, Salesforce, and Microsoft Power BI. Our products and solutions aim to achieve†100% Data Quality and Data Testing Automation.

## Building Trust In Enterprise Data and Analytics

A Comprehensive Data Validation and Observability Platform

- [DataOps Suite Platform](https://www.datagaps.com/dataops-suite/): End-to-end DataOps platform to automate ETL testing, BI validation, data quality, & test data generation powered by AI and built for scale.

## DataOps Suite Products

- [DataOps Suite: End-to-End Data Testing Automation](https://www.datagaps.com/dataops-suite/): The DataOps Suite by Datagaps is a comprehensive, AI-powered platform designed to automate end-to-end data validation, testing, and quality monitoring for ETL, data integration, data warehouse, data lake, and BI projects

## ETL Validator
[ETL Validator | Data Validation and ETL Testing Tools](https://www.datagaps.com/etl-validator/): ETL Validator is a low-code platform for automated ETL/ELT testing, ensuring accurate, trustworthy data across cloud and on-prem pipelines for faster, reliable delivery, automate your Data Reconciliation & Low-code, No-code ETL/ELT testing, Automate ETL testing with AI. Validate data accuracy, compare billions of records, and detect issues across pipelines, warehouses, and lakes.

## BI Validator
[BI Validator | Best BI Testing Tool - BI Validator for Data Test Automation](https://www.datagaps.com/bi-validator/): BI Validator is a no-code BI testing tool that automates validation of dashboards, data, and performance - ensuring integrity, consistency, and trust across analytics environments, Automate functional, regression, stress & performance testing of BI Reports, Test Power BI, Tableau, and more with BI Validator. Automate report-to-data checks, regression testing, and visual validation with AI.

## Data Quality Monitor
[DQ Monitor | DataOps Data Quality Monitor | DQ Dashboard - Datagaps](https://www.datagaps.com/dataops-data-quality/): Data Quality Monitor ensures complete, accurate, and trusted data with AI-powered validation, observability, profiling, and reconciliation across all stages of your data pipeline, Monitor data quality in your Data Pipelines, AI & Analytics using Gen AI, AI-driven data quality monitoring for pipelines, warehouses, and reports. Detect anomalies, apply DQ rules, and ensure trusted analytics.

## Test Data Manager
[Test Data Manager](https://www.datagaps.com/test-data-manager/): Test Data Manager uses AI to generate high-quality, privacy-safe synthetic data, enabling realistic, scalable testing of applications, pipelines, and analytics without exposing sensitive information, maintain data privacy by generating realistic synthetic data using Gen AI



## Company Recognition
- [Datagaps is recognized as a Specialist in the Data Pipeline Test Automation category by Gartner](https://www.gartner.com/document-reader/document/5659623): Datagaps has been acknowledged by Gartner for its expertise in automating data pipeline testing, highlighting its innovative approach in the DataOps space.

## Data Testing Concepts
- [Data Testing Concepts](https://www.datagaps.com/data-testing-concepts/): Overview of fundamental concepts in data testing, essential for ensuring data integrity and quality.
- [ETL Testing](https://www.datagaps.com/data-testing-concepts/etl-testing/): Focuses on the testing of Extract, Transform, Load processes to ensure data is accurately processed and loaded, ETL testing is a data centric testing process to validate that the data has been transformed and loaded into the target as expected.
- [BI Testing](https://www.datagaps.com/data-testing-concepts/bi-testing-2/): Involves validating Business Intelligence systems to ensure accurate reporting and analytics.
- [Flat File Testing](https://www.datagaps.com/data-testing-concepts/flat-file-testing/): Testing methodologies for flat file data sources to ensure data quality and integrity.
- [Data Testing](https://www.datagaps.com/data-testing-concepts/data-testing/): General practices and methodologies for comprehensive data testing.
- [Database Testing](https://www.datagaps.com/data-testing-concepts/database-testing/): Techniques for validating database systems to ensure data accuracy and performance.
- [Data Migration Testing](https://www.datagaps.com/data-testing-concepts/data-migration-testing/): Ensures that data is accurately migrated from one system to another without loss or corruption.
- [Data Warehouse Testing](https://www.datagaps.com/data-testing-concepts/data-warehouse-testing/): Focuses on validating data warehouses to ensure they meet business requirements and data integrity.

## Cloud and Analytics Solutions
- [Power BI Testing Automation Tool] (https://www.datagaps.com/automate-power-bi-testing/): Automate Power BI testing with Datagaps BI Validator - A Comprehensive testing solution for Reports and dashboards, including PBI testing.
- [Tableau Testing Automation Tool] (https://www.datagaps.com/automate-tableau-testing/): The best testing automation for Tableau Testing, Simplify upgrades, ensure accuracy reports for tableau using BI Validator, the trusted Tableau testing tool.
- [Oracle Analytics Testing Automation Tool] (https://www.datagaps.com/automate-oracle-analytics-testing/): Oracle Analytics Testing Automation Tool, OBIEE to OAC/OAS - Benefits of Automating Testing of Oracle Analytics Reports & Dashboards using BI Validator, automation solution for Oracle Analytics.
- [Snowflake Testing Automation Tool | Snowflake ETL/ELT Testing] (https://www.datagaps.com/snowflake-testing-automation/): Automate Snowflake testing to enhance data quality, and efficiency, and reduce errors in data warehousing processes. Migrate to Snowflake.
- [Databricks Testing Automation]( https://www.datagaps.com/databricks-testing-automation/): DataOps suite automates testing automation of Databricks Notebooks and Delta Lake tables, Explore the benefits of Databricks Automated Testing.
- [Azure Synapse Testing]( https://www.datagaps.com/azure-synapse-testing/): DataOps suite enables users to perform end-to-end  testing automation of Azure Synapse projects.
- [Salesforce Testing]( https://www.datagaps.com/salesforce-data-testing/): Salesforce data testing automation tools, DataOps suite enables users to perform end-to-end data testing automation of Salesforce projects. 
- [APCD Compliance Solutions]( https://www.datagaps.com/apcd-compliance-solutions/): Achieve flawless APCD submissions with Datagaps. Ensure compliance, enhance data integrity, and avoid hefty fines with our state-specific solutions.
 

## Industry Solutions
- [Healthcare | Dataops Suite Empowers Healthcare Industry with Precision & Data Quality](https://www.datagaps.com/industries/health-care-services/): Healthcare with Datagaps: Data Testing Automation for Medtech, Tailored solutions for the healthcare industry to ensure compliance and data accuracy.
- [Financial Services]( https://www.datagaps.com/industries/banking-financial-services-and-insurance/): Solutions designed for the financial sector, focusing on data integrity and regulatory compliance.
- [Life Sciences](https://www.datagaps.com/industries/life-sciences/): Specialized data testing solutions for life sciences to ensure data quality and compliance.
- [Retail](https://www.datagaps.com/industries/retail-consumer-goods/): Data testing solutions aimed at enhancing data quality in the retail sector.
- [Higher Education](https://www.datagaps.com/industries/higher-education/): Solutions for educational institutions to ensure data accuracy and compliance.

## Tools and 14 Days Trials
- [DataOps Suite ñ Free 14 Days Trial](https://www.datagaps.com/data-ops-suite-trial-request/): Offers a free trial of the DataOps Suite, allowing users to experience its capabilities.
- [ETL Validator Free Trial](https://www.datagaps.com/etl-validator-trial-request/): A free trial for the ETL Validator tool, designed to ensure data processing accuracy.
- [BI Validator Free Trial](https://www.datagaps.com/bi-validator-trial-request/): Free trial access to the BI Validator, which ensures the integrity of business intelligence data.
- [DQ Monitor Free Trial](https://www.datagaps.com/data-quality-monitor-trial-request/): A trial for the DQ Monitor tool, focusing on data quality monitoring.
- [Test Data Manager Free Trial](https://www.datagaps.com/test-data-manager-trial-request/): Free trial for the Test Data Manager, which helps in managing test data effectively.

## Resources
- [Blog](https://www.datagaps.com/blog/): Insights and articles on data testing and DataOps practices.
- [Case Studies](https://www.datagaps.com/case-studies/): Real-world examples showcasing the effectiveness of Datagaps solutions.
- [Product Tour](https://www.youtube.com/@datagaps/videos): An overview of the features and benefits of Datagaps products.
- [Certification](https://www.datagaps.com/datagaps-certification/): Information on certification programs related to Datagaps solutions.
- [Events](https://www.datagaps.com/events): Upcoming events hosted or sponsored by Datagaps.
- [Webinars](https://www.datagaps.com/webinars/): Educational webinars on data testing and DataOps topics.
- [Support Portal](https://datagaps.freshdesk.com/support/home): Access to support resources for Datagaps users.
- [Help](https://help.datagaps.com/home/en-us/): General help resources for users of Datagaps products.
- [FAQs](https://www.datagaps.com/faqs/): Frequently asked questions regarding Datagaps services and products.

## Company Information
- [About](https://www.datagaps.com/about-us/): Datagaps, founded in 2010, is a global leader in AI-powered cloud solutions specializing in data-driven testing automation for enterprise data and analytics. Based in Herndon, Virginia, the company provides tools for automating data validation, ETL (Extract, Transform, Load) testing, data reconciliation, data quality monitoring, test data generation, and BI (Business Intelligence) test automation. Datagaps serves industries such as healthcare, financial services, retail, higher education, and government, supporting platforms like Snowflake, Databricks, Amazon Redshift, Tableau, and Microsoft Power BI. Its mission is to build trust in enterprise data and reports by ensuring 100% data quality and validation, reducing costs, and accelerating time to market. Trusted by over 70 companies worldwide, Datagaps emphasizes innovation, service, and GDPR-compliant data protection.
- [Partners](https://www.datagaps.com/our-trusted-partners/): Details on partnerships and collaborations.
- [Trusted Data Summit](https://www.datagaps.com/trusted-data-summit-2024/): Information about the annual summit focused on data quality and trust.
- [Careers](https://www.datagaps.com/#): Job opportunities and career information at Datagaps.
- [Current Openings](https://www.datagaps.com/current-openings/): List of current job openings at Datagaps.
- [Life at Datagaps](https://www.datagaps.com/life-at-datagaps/): Insights into the company culture and employee experiences.
- [Contact us](https://www.datagaps.com/contact-us/): Contact information for inquiries and support.
- [Subscribe](https://www.datagaps.com/subscribe/): Option to subscribe for updates and newsletters.

## Compliance and Policies
- [Privacy Policy](https://www.datagaps.com/privacy-policy/): Details on how Datagaps handles user data and privacy.
- [Terms of Service](https://www.datagaps.com/terms-of-service/): The terms governing the use of Datagaps services.
- [GDPR Compliance](https://www.datagaps.com/gdpr/): Information on how Datagaps complies with GDPR regulations.

## Additional Resources
- [Data Warehouse Testing Checklist](https://www.datagaps.com/data-testing-concepts/data-warehouse-testing-checklist/): A checklist to ensure comprehensive testing of data warehouses.
- [Data Migration Testing Automation](https://www.datagaps.com/data-migration-testing/): Automation solutions for data migration testing.
- [ETL Testing Automation](https://www.datagaps.com/etl-testing/): Automated solutions for ETL testing processes.
- [AnalyticsOps: DataOps Suite is Essential for Leveraging Gen AI](https://www.datagaps.com/analytics-ops/): Discussion on the importance of DataOps in leveraging Generative AI technologies.
- [Datagaps DataOps: DataFlow Platform for Modern Data Integration](https://www.datagaps.com/dataops-dataflow/): Overview of the DataFlow platform designed for modern data integration needs.
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