Sifflet is a data observability platform that offers comprehensive monitoring of data quality, metadata, and infrastructure. 

With Sifflet, you can easily identify and address data anomalies, conduct root cause analysis, and collaborate with your team through a data catalog. 

Unlike other vendors, Sifflet provides full data stack lineage and integrates seamlessly with various data sources and tools. With Sifflet, you can trust your data and ensure its reliability from ingestion to consumption.

thumbnail_Sifflet.jpg

Sifflet.jpg

Sifflet

Delivering technologies to enable insight into company data, to understand the full life cycle of data, from when it was created or when it entered the system, to when it left, so that issues and anomalies can be identified and resolved.



The objective of Data Observability is to prevent system and business issues caused by incomplete or corrupt data, and also to flag issues relating data access (either due to poor data access policies, or due to data leakage / system breach).

Data observability includes origin, currency and accuracy, integrity, and history (when created, updated, interacted with, and by who or what).

Data observability covers data ingestion, storage, transformation, analytics, and output.

Data Observability

Enabling organisations to more easily know what type of data is stored where, and ensuring the correct levels of access control to that data, often by using automated mechanisms for management of IT system policies. 

Data Access Control

Technology and services that prevents data losses, leaks, or thefts from happening, by reducing the scope for human error, blocking ex-filtrations, and protecting sensitive data.