Cost Observability
Cost-efficient data pipelines
Pinpoint cost inefficiencies and anomalies thanks to full-stack data observability.

Data asset optimization
- Leverage lineage and Data Catalog to pinpoint underutilized assets
- Get alerted on unexpected behaviors in data consumption patterns

Proactive data pipeline management
Proactively prevent pipelines from running in case a data quality anomaly is detected


Frequently asked questions
What does Full Data Stack Observability mean?
Full Data Stack Observability means having complete visibility into every layer of your data pipeline, from ingestion to business intelligence tools. At Sifflet, our observability platform collects signals across your entire stack, enabling anomaly detection, data lineage tracking, and real-time metrics collection. This approach helps teams ensure data reliability and reduce time spent firefighting issues.
Can Sifflet help me trace how data moves through my pipelines?
Absolutely! Sifflet’s data lineage tracking gives you a clear view of how data flows and transforms across your systems. This level of transparency is crucial for root cause analysis and ensuring data governance standards are met.
How does Dailymotion foster a strong data culture beyond just using observability tools?
They’ve implemented a full enablement program with starter kits, trainings, and office hours to build data literacy and trust. Observability tools are just one part of the equation; the real focus is on enabling confident, autonomous decision-making across the organization.
Why should data alerts live in ServiceNow?
If your team already uses ServiceNow for incident management, having your data alerts show up there means fewer missed issues and faster resolution times. It brings transparency to your data pipelines and supports better data governance and trust.
Can Sifflet help with root cause analysis in complex data systems?
Absolutely! In early 2025, we're rolling out advanced root cause analysis tools designed to help you detect subtle anomalies and trace them back to their source. Whether the issue lies in your code, data, or pipelines, our observability platform will help you get to the bottom of it faster.
What can I expect from Sifflet at Big Data Paris 2024?
We're so excited to welcome you at Booth #D15 on October 15 and 16! You’ll get to experience live demos of our latest data observability features, hear real client stories like Saint-Gobain’s, and explore how Sifflet helps improve data reliability and streamline data pipeline monitoring.
How does Sifflet help improve data reliability for modern organizations?
At Sifflet, we provide a full-stack observability platform that gives teams complete visibility into their data pipelines. From data quality monitoring to root cause analysis and real-time anomaly detection, we help organizations ensure their data is accurate, timely, and trustworthy.
Is data governance more about culture or tools?
It's a mix of both, but culture plays a big role. As Dan Power puts it, 'culture eats strategy for breakfast.' Even the best observability tools won't succeed without enterprise-wide data literacy and buy-in. That’s why training, user-friendly platforms, and fostering collaboration are just as important as the technology stack you choose.