Sifflet

Sifflet is a data observability platform launched in 2021. It helps organizations monitor and improve the quality, reliability, and traceability of their data across pipelines. By providing key indicators such as the number of null values, table volume, and the uniqueness of identifiers, Sifflet ensures robust and reliable data governance.

What sets Sifflet apart is its no-code interface, making it easy to use. Creating data quality rules is intuitive, and real-time notifications are sent via email, Teams, or Slack in case of non-compliance. The platform also enhances data accessibility through its catalog and data lineage visualization. It integrates with a wide range of solutions, including data warehouses, data lakes, BI tools, ELT/ETL solutions, and data orchestrators.

However, as a relatively new tool, Sifflet has some limitations. Certain integrations, such as Dagster or Google Chat, are not yet supported. Using "Monitors As Code" can make debugging more complex due to its YAML format. When dealing with large numbers of tables, creating rules can become time-consuming. Additionally, monitoring options are limited, restricting visualization customization. Lastly, pricing is only available upon request, which may be a barrier for some organizations. Alternatives like Monte Carlo or Elementary may also be worth considering.

Theodo’s point of view

We recommend Sifflet for its ease of use, particularly for organizations with low technical expertise, a relatively simple data platform, but strict data quality requirements. However, its high cost and limited functionalities may be obstacles to adoption.