DataGaps is a software company specializing in data testing automation solutions designed to ensure trust in enterprise data and analytics. DataGaps provides a suite of products that automate data validation, ETL testing, data reconciliation, data quality monitoring, test data generation, and business intelligence (BI) test automation for organizations with complex data environments.
Their core offerings include:
- DataOps Suite: An integrated platform for end-to-end data testing and quality automation.
- BI Validator: Automated testing for BI reports and dashboards.
- ETL Validator: Automation of ETL pipeline testing and validation.
- Data Quality Monitor: Ongoing monitoring and validation of data quality.
- Test Data Manager: Creation and management of test data for QA processes.
DataGaps supports a wide range of data warehousing and analytics platforms such as Snowflake, Databricks, Amazon Redshift, Oracle Analytics, Tableau, and Microsoft Power BI. Their tools are tailored to help organizations achieve 100% data quality, reduce costs, increase repeatability, and accelerate time to market by automating data testing processes.
Who uses DataGaps?
DataGaps serves enterprises across various sectors, including higher education, banking and finance, healthcare, retail, and government. Their solutions are trusted by over 70 companies, with customers like Discover Financial Services, United Healthcare, NatWest, Broadcom, Southern Company, Amgen, US Courts, Enbridge, New York University, and the National Science Foundation.
The platform is designed for data professionals including:
- Data Analysts and Data Scientists
- Business Intelligence Analysts/Developers
- Database Administrators and ETL Developers
- Data Governance and Data Quality Managers
- IT Managers, Project Managers, Chief Data Officers
- Compliance and Information Security Officers
- Data Warehouse Managers/Architects
How was DataGaps started?
Founded in 2010, DataGaps was established by Narendar Yalamanchilli (Founder and CEO) and Adithya Buddhavarapu (Co-founder/Advisor), along with a team of experts in data management, sales, alliances, and product marketing. Their leadership team brings experience from data governance, product development, and enterprise IT, helping shape DataGaps' focus on automated, end-to-end data validation. The company is headquartered in Herndon, Virginia, United States.
What makes DataGaps different?
DataGaps holds a US patent for its ELV (Enterprise-Level Validation) architecture, reflecting its commitment to technical innovation in data validation. The company's solutions emphasize automation, repeatability, and complete data quality coverage, which is particularly valuable for enterprises migrating to modern data platforms or aiming for robust data governance and compliance.
For more details about their team and company history, visit their About page.
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