Say goodbye to data chaos with end-to-end data observability.Take a tour
An all-in-one data observability platform that keeps your data organized, accessible, and reliable.
Gain a clear view of your data with a platform that integrates with your data stack, provides centralized documentation, lineage, and searchable metadata.Learn more
For everyone, working with and finding data becomes intuitive with a simple and automated UI, data discovery is simplified with a data catalog, and it is easy to connect with coding workflows.Learn more
Ensure reliable data quality with smart monitoring and alerting (without the noise), root cause analysis, 50+ data quality templates, and mapping capabilities.Learn more
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.