Sifflet is a Full Data Stack Observability platform acting as an overseeing layer to the Data Stack, ensuring that data is reliable from ingestion to consumption. Whether the data is in transit or at rest, Sifflet can detect data quality anomalies, assess business impact, identify the root cause, and alert data teams’ on their preferred channels. All thanks to 50+ quality checks, extensive column-level lineage, and 30+ connectors across the Data Stack.
In addition, data discovery is made easy through Sifflet’s information-rich data catalog with a powerful search engine and real-time health statuses. Sifflet is founded by ex Data Leaders from Goldman Sachs, Uber, and Amazon and backed by top-tier investors, including Mangrove Capital Partners and Bessemer Venture Partners, as well as industry pioneers from Datadog and BigID.