Enable real-time accessibility to data quality metrics throughout the entire organization, catering to both technical and non-technical users.Take a tour
Streamline your data team’s troubleshooting workflow with automated data lineage and monitoring, eliminating hours of investigative work to pinpoint issues’ initial points of failure.Take a tour
Empower data teams to detect and address issues proactively by providing them with tools to ensure data availability, usability, integrity, and security.Take a tour
In addition to monitoring the quality and accuracy of the data assets, we were also looking to ensure the reliability of the pipelines, observe schema changes and other metadata-related metrics.
We chose Sifflet for its wide offering. We’ve checked out other vendors from the space, and they have all data quality rules, but what we need is the next step. Being able to know what to do once that rule fails.
It is very convenient to have the data quality feature together with the data catalog. I think it’s a great combination: the data catalog allows you to find all the data you need and the data quality feature monitors our data flows, ensuring that the data we use is reliable at all times.