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: 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: Automated ETL and data pipeline testing with Agentic AI — validates data migrations, transformations, and source-to-target reconciliation across 40+ data sources.
• 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: 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: 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: Automates data migration testing with source profiling, schema validation, data completeness checks, and source-to-target reconciliation using ETL Validator.
• Data Observability: AI-powered data observability tool that monitors data pipelines and warehouses for freshness, volume, schema, and quality anomalies using Data Quality Monitor.
• Data Reconciliation: Automated data reconciliation tool that compares source and target datasets to detect missing records, data mismatches, and transformation errors using ETL Validator.
• Data Quality Testing: Automates data quality testing across completeness, accuracy, consistency, uniqueness, and validity dimensions using Data Quality Monitor with Agentic AI.
• Compliance Solutions: Automates compliance data testing and reporting — validates data against regulatory rules, detects PII/PHI, and generates audit-ready documentation using ETL Validator, BI Validator, and Data Quality Monitor.
• APCD Compliance Automation: Automates APCD (All-Payer Claims Database) compliance reporting with state-specific templates, 150+ validation rules, and data reconciliation using Data Quality Monitor and ETL Validator.
• Cloud Data Test Automation: Automated cloud data testing across Snowflake, Databricks, Azure Synapse, AWS Redshift, Google BigQuery, and other cloud data platforms using DataOps Suite.
• Analytics Ops: DataOps and AnalyticsOps automation for data and analytics teams — streamlines data testing, quality monitoring, and BI validation workflows with Agentic AI.

Cloud Platform Solution Pages

• Snowflake Testing Automation: Automates Snowflake testing with schema conversion validation, ELT transformation testing across Medallion layers, and source-to-target reconciliation using ETL Validator, BI Validator, and Data Quality Monitor.
• Databricks Testing Automation: Automates Databricks testing with Unity Catalog validation, Delta Lake integrity checks, and notebook ETL testing across Medallion layers using ETL Validator, BI Validator, and Data Quality Monitor.
• Azure Synapse Testing Automation: Automates Azure Synapse testing with schema conversion validation, ELT transformation testing across Medallion layers, and migration reconciliation using ETL Validator, BI Validator, and Data Quality Monitor.
• Salesforce Data Testing: Automates Salesforce ETL testing, schema mapping validation, CRM data quality monitoring, and source-to-Salesforce reconciliation using ETL Validator, BI Validator, and Data Quality Monitor.

Analytics Platform Solution Pages

• Power BI Testing Automation: No-code Power BI testing automation — validates visuals against SQL source, tests filters, slicers, bookmarks, and row-level security (RLS) with automated regression testing using BI Validator.
• Tableau Testing Automation: No-code Tableau testing automation — validates worksheet data against SQL source, tests filters, parameters, and supports upgrade and cross-environment regression testing using BI Validator.
• Oracle Analytics Testing Automation: No-code Oracle Analytics (OAC/OAS/OBIEE) testing — baselines dashboards, validates data against SQL source, and supports upgrade and migration testing using BI Validator.

Industry Solution Pages

• Healthcare Data Testing: Automates healthcare data testing with EHR/EMR validation, HL7/FHIR integrity checks, HIPAA compliance monitoring, claims data reconciliation, and PII/PHI detection using ETL Validator, BI Validator, and Data Quality Monitor.
• Financial Services Data Testing: Automates financial services data testing with SOX compliance validation, BCBS 239 risk data quality checks, transaction data reconciliation, and audit-ready regulatory reporting using ETL Validator, BI Validator, and Data Quality Monitor.
• Life Sciences Data Testing: Automates life sciences data testing with 21 CFR Part 11 compliance validation, GxP data quality checks, clinical trial data integrity testing, LIMS migration validation, and FDA-compliant audit documentation.
• Retail Data Testing: Automates retail data testing with inventory data validation, POS data reconciliation, supply chain data quality checks, ecommerce data integrity testing, and omnichannel pipeline validation.
• Higher Education Data Testing: Automates higher education data testing with student data quality validation, FERPA compliance checks, enrollment data reconciliation, financial aid integrity testing, and IPEDS reporting data quality.
• Industries Overview: Datagaps industry solutions for healthcare, financial services, life sciences, retail, and higher education — AI-powered data testing tailored to industry-specific compliance and data quality requirements.

Data Testing Concepts & Guides

• Data Testing Concepts Hub: Comprehensive guides and resources covering all aspects of data testing — ETL testing, BI testing, data warehouse testing, database testing, and data migration testing concepts and best practices.
• ETL Testing Guide: Comprehensive guide covering ETL testing concepts, 9 types of ETL testing, common challenges, and best practices for validating data pipelines and transformations.
• BI Testing Guide: Complete guide to BI testing — validating business intelligence reports, dashboards, and analytics against source data for accuracy, consistency, and completeness.
• Data Warehouse Testing Guide: Guide to data warehouse testing — validating schema, ETL pipelines, data integrity, and report accuracy in data warehouse environments.
• Data Warehouse Testing Checklist: Comprehensive data warehouse testing checklist — step-by-step validation criteria for schema, data completeness, transformation accuracy, and performance testing.
• Data Migration Testing Guide: Guide to data migration testing — source profiling, schema conversion validation, data completeness verification, and post-migration reconciliation best practices.
• Database Testing Guide: Guide to database testing — validating database schema, stored procedures, data integrity constraints, and query performance across relational and cloud databases.
• Data Testing Guide: Overview of data testing concepts, methodologies, and tools — covering all types of data testing from unit testing to end-to-end pipeline validation.

Integrations

• Datagaps + Collibra Integration: Integration guide for connecting Datagaps DataOps Suite with Collibra data governance platform — enhancing data quality monitoring with governance metadata and lineage.

Resources

• Whitepapers: Datagaps technical whitepapers on data testing, ETL validation, data quality monitoring, and BI testing — in-depth research and best practice documentation.
• eBooks: Datagaps eBooks on data testing and DataOps — practical guides for data engineers, QA teams, and data architects on automating data validation and quality monitoring.
• Webinars: Datagaps webinars on data testing, ETL validation, BI testing, and data quality — recorded sessions and upcoming live events with data engineering experts.
• FAQs: Frequently asked questions about Datagaps DataOps Suite, ETL Validator, BI Validator, Data Quality Monitor, and Test Data Manager — pricing, features, integrations, and support.
• Case Studies: Customer success stories — Datagaps implementations at Fortune 100 companies across healthcare, financial services, retail, and life sciences industries.
• Blog: DataOps, data testing, and data quality articles — ETL testing best practices, BI validation guides, data observability insights, and cloud migration testing resources.
• Documentation: Product documentation and user guides for ETL Validator, BI Validator, Data Quality Monitor, and Test Data Manager.
• Events: Datagaps events, conferences, and summits — data testing and DataOps industry events, webinars, and Trusted Data Summit.

Key Blog Posts

• Data Reconciliation for SOX Compliance: How organizations use automated data reconciliation to meet SOX compliance requirements — comparing datasets, identifying financial data discrepancies, and ensuring ICFR accuracy.
• Automated Data Reconciliation Across Multiple Sources: Guide to automating data reconciliation across multiple data sources — techniques, tools, and best practices for large-scale data validation.
• Automated AI Data Reconciliation for Large-Scale Migrations: How AI-powered automation solves data reconciliation challenges in large-scale data migration projects — reducing manual effort and ensuring 100% data accuracy.

Company

• About Datagaps: Datagaps company overview — founded 2010, headquartered in Herndon Virginia, serving 70+ companies globally, recognized as Gartner Specialist in Data Pipeline Test Automation.
• Our Trusted Partners: Datagaps technology and channel partners — cloud platform partners, system integrators, and technology alliances supporting DataOps Suite implementations.
• Expert Services: Datagaps professional services — implementation support, onboarding, data testing strategy consulting, and managed services for DataOps Suite customers.
• Datagaps Certification: Datagaps professional certification program — training and certification for data engineers, QA analysts, and data architects on DataOps Suite and data testing best practices.
• Request a Demo: Schedule a personalized demo of DataOps Suite — see ETL Validator, BI Validator, Data Quality Monitor, and Test Data Manager in action with your own data scenarios.
• DataOps Suite Free Trial: Start a free 14-day trial of DataOps Suite in a sandbox environment — access all products including ETL Validator, BI Validator, Data Quality Monitor, and Test Data Manager. No credit card required.
• ETL Validator Free Trial: Start a free 14-day trial of ETL Validator — automate ETL and data pipeline testing, validate migrations, and test transformations across 40+ data sources. No credit card required.
• BI Validator Free Trial: Start a free 14-day trial of BI Validator — automate Power BI, Tableau, and Oracle Analytics report testing and validation against SQL source data. No credit card required.
• Data Quality Monitor Free Trial: Start a free 14-day trial of Data Quality Monitor — proactively monitor data pipelines and warehouses for quality anomalies with Agentic AI. No credit card required.
• Test Data Manager Free Trial: Start a free 14-day trial of Test Data Manager — generate compliant synthetic test data with PII masking and referential integrity. No credit card required.
• Pricing: DataOps Suite pricing plans — subscription-based pricing for ETL Validator, BI Validator, Data Quality Monitor, and Test Data Manager.
• Contact Us: Contact Datagaps — sales inquiries, product support, partnership opportunities, and general questions about DataOps Suite and data testing solutions.