Datagaps | Gen AI-Powered Automated Cloud Data Testing

# Datagaps > Datagaps is an AI-powered DataOps platform for automated data testing, validation, and quality monitoring. The DataOps Suite includes ETL Validator, BI Validator, Data Quality Monitor, and Test Data Manager. Recognized as a Specialist in Data Pipeline Test Automation by Gartner. Free 14-day trial available. Headquartered in Herndon, Virginia. Serving 70+ enterprise customers globally. ## Product Pages - [DataOps Suite](https://www.datagaps.com/dataops-suite/): Intelligent Data Validation and Analytics Testing Platform with Agentic AI — combines ETL Validator, BI Validator, Data Quality Monitor, and Test Data Manager in one platform. - [ETL Validator](https://www.datagaps.com/etl-validator/): Automated ETL and data pipeline testing with Agentic AI — validates data migrations, transformations, and source-to-target reconciliation across 40+ data sources. - [BI Validator](https://www.datagaps.com/bi-validator/): Automated BI report and dashboard testing for Power BI, Tableau, and Oracle Analytics — validates reports against SQL source data with no-code regression testing. - [Data Quality Monitor](https://www.datagaps.com/data-quality-monitor/): Proactive data quality monitoring with Agentic AI — continuously monitors data pipelines, warehouses, and reports across 6 data quality dimensions with automated alerts. - [Test Data Manager](https://www.datagaps.com/test-data-manager/): Compliant and realistic test data generation with Agentic AI — creates synthetic test data with PII masking and referential integrity for all testing needs. ## Use Case Solution Pages - [Data Migration Testing Automation](https://www.datagaps.com/data-migration-testing-automation/): Automates data migration testing with source profiling, schema validation, data completeness checks, and source-to-target reconciliation using ETL Validator. - [Data Observability](https://www.datagaps.com/data-observability-tool/): AI-powered data observability tool that monitors data pipe