Delivering high quality, reliable data products demands automation.
Validatar provides automation for each step of the data quality journey:
Complex, unique data requires flexible QA solutions.
Validatar's open framework provides powerful customization with endless possibilities.
Any data, any format, any source- all can be connected, profiled, tested and monitored.
Flexible deployment options work with every environment.
Seamlessly connect with existing data pipelines, databases, and tools for accuracy and integrity across all your data assets.
Know the quality of your data quickly so you can make meaningful, data-driven decisions now.
With centralized, auditable results, the right people have timely visibility to the right data.
Validatar's built-in data catalog enables teams to customize documentation and create a framework for scaling data governance initiatives.
Delivering high quality, reliable data products demands automation.
Validatar provides automation for each step of the data quality journey:
Complex, unique data requires flexible QA solutions.
Validatar's open framework provides powerful customization with endless possibilities.
Any data, any format, any source- all can be connected, profiled, tested and monitored.
Flexible deployment options work with every environment.
Seamlessly connect with existing data pipelines, databases, and tools for accuracy and integrity across all your data assets.
Know the quality of your data quickly so you can make meaningful, data-driven decisions now.
With centralized, auditable results, the right people have timely visibility to the right data.
Validatar's built-in data catalog enables teams to customize documentation and create a framework for scaling data governance initiatives.
Without testing & validation across every project, you get costly delays and failures.
Validatar gives data teams a centralized data quality platform for every stage of every project.
Even with the best testing, data quality issues still happen.
Validatar makes sure you are the first to know about any data quality issue with ongoing, comprehensive monitoring.
