Join us on January 22nd for a deep dive into Sifflet’s 2024 highlights and a preview of what’s ahead in 2025. We’ll cover innovations in data observability, including real-time metrics, faster incident resolution, and the upcoming Sifflet AI Agent. It’s the perfect way to kick off the year with fresh insights and inspiration!

Sifflet combines distribution deviation monitoring with field-level data lineage tracking. This means when an anomaly is detected, you can quickly trace it back to the source and resolve it efficiently. It’s a huge time-saver for teams managing complex data pipeline monitoring.

SQL Table Tracer (STT) is a lightweight library that automatically extracts table-level lineage from SQL queries. It identifies both destination and upstream tables, making it easier to understand data dependencies and build reliable data lineage workflows. This is a key component of any effective data observability strategy.

Our observability tools are designed to support a wide range of industries, from retail and finance to tech and logistics. Whether you're monitoring streaming data in real time or ensuring data freshness in batch pipelines, Sifflet helps teams maintain high data quality and meet SLA compliance goals.

AI depends on trustworthy data, and that’s exactly where data observability comes in. With features like data drift detection, root cause analysis, and real-time alerts, observability tools ensure that your AI systems are built on a solid foundation. No trust, no AI—that’s why dependable data is the quiet engine behind every successful AI strategy.

Reducing AI bias starts with understanding your data. Sifflet’s observability platform gives you deep visibility into data sources, transformations, and quality. By tracking data lineage and applying data profiling, teams can identify and correct biased inputs before they affect model outcomes. This transparency helps build more ethical and reliable AI systems.

Absolutely! Thanks to Sifflet’s built-in data quality monitoring, you can view real-time metrics and health checks directly within the Data Catalog. This gives you confidence in the reliability of your data before making any decisions.

Absolutely, business users benefit too! Sifflet's UI is built for both technical and non-technical teams. For example, our Chrome extension overlays on BI tools to show real-time metrics and data quality monitoring without needing to write SQL. It helps everyone from analysts to execs make decisions with confidence, knowing the data behind their dashboards is trustworthy.