Contact

Tame %%your%% stack.

If you want to learn more about data observability and what Sifflet can do for you, drop us a message below and we'll get back to you as soon as possible.

What impressed us most about Sifflet’s AI-native approach is how seamlessly it adapts to our data landscape — without needing constant tuning. The system learns patterns across our workflows and flags what matters, not just what’s noisy. It’s made our team faster and more focused, especially as we scale analytics across the business.

Simoh-Mohamed Labdoui

Head of Data

"Sifflet has been a game-changer for our organization, providing full visibility of data lineage across multiple repositories and platforms. The ability to connect to various data sources ensures observability regardless of the platform, and the clean, intuitive UI makes setup effortless, even when uploading dbt manifest files via the API. Their documentation is concise and easy to follow, and their team's communication has been outstanding—quickly addressing issues, keeping us informed, and incorporating feedback. "

Callum O'Connor

Senior Analytics Engineer, The Adaptavist

"Sifflet serves as our key enabler in fostering a harmonious relationship with business teams. By proactively identifying and addressing potential issues before they escalate, we can shift the focus of our interactions from troubleshooting to driving meaningful value. This approach not only enhances collaboration but also ensures that our efforts are aligned with creating impactful outcomes for the organization."

Sophie Gallay

Data & Analytics Director, Etam

"Having the visibility of our DBT transformations combined with full end-to-end data lineage in one central place in Sifflet is so powerful for giving our data teams confidence in our data, helping to diagnose data quality issues and unlocking an effective data mesh for us at BBC Studios"

Ross Gaskell

Software engineering manager, BBC Studios

"Sifflet has transformed our data observability management at Carrefour Links. Thanks to Sifflet's proactive monitoring, we can identify and resolve potential issues before they impact our operations. Additionally, the simplified access to data enables our teams to collaborate more effectively."

Mehdi Labassi

CTO, Carrefour Links

"Using Sifflet has helped us move much more quickly because we no longer experience the pain of constantly going back and fixing issues two, three, or four times."

Sami Rahman

Director of Data, Hypebeast

Still have a question in mind ?

Frequently asked questions

What makes Sifflet different from other data observability platforms like Monte Carlo or Anomalo?

Sifflet stands out by offering a unified observability platform that combines data cataloging, monitoring, and data lineage tracking in one place. Unlike tools that focus only on anomaly detection or technical metrics, Sifflet brings in business context, empowering both technical and non-technical users to collaborate and ensure data reliability at scale.

What role does Sifflet play in Etam’s data governance efforts?

Sifflet supports Etam by embedding data governance into their workflows through automated monitoring, anomaly detection, and data lineage tracking. This gives the team better visibility into their data pipelines and helps them troubleshoot issues quickly without slowing down innovation.

How can executive sponsorship help scale data governance efforts?

Executive sponsorship is essential for scaling data governance beyond grassroots efforts. As organizations mature, top-down support ensures proper budget allocation for observability tools, data pipeline monitoring, and team resources. When leaders are personally invested, it helps shift the mindset from reactive fixes to proactive data quality and governance practices.

How does Flow Stopper support root cause analysis and incident prevention?

Flow Stopper enables early anomaly detection and integrates with your orchestrator to halt execution when issues are found. This makes it easier to perform root cause analysis before problems escalate and helps prevent incidents that could affect business-critical dashboards or KPIs.

Why is integration with my existing tools important for observability?

A good observability platform should fit right into your current stack. That means supporting tools like dbt, Airflow, and your cloud infrastructure. Seamless integration ensures better pipeline orchestration visibility and makes it easier to act on data issues without disrupting your workflows.

How did Dailymotion use data observability to support their shift to a product-oriented data platform?

Dailymotion embedded data observability into their data ecosystem to ensure trust, reliability, and discoverability across teams. This shift allowed them to move from ad hoc data requests to delivering scalable, analytics-driven data products that empower both engineers and business users.

How can I better manage stakeholder expectations for the data team?

Setting clear priorities and using a centralized pipeline orchestration visibility tool can help manage expectations across the organization. When stakeholders understand what the team can deliver and when, it builds trust and reduces pressure on your team, leading to a healthier and happier work environment.

Can I monitor my BigQuery data with Sifflet?

Absolutely! Sifflet’s observability tools are fully compatible with Google BigQuery, so you can perform data quality monitoring, data lineage tracking, and anomaly detection right where your data lives.

Read all FAQs

Data Observability %%is Now%%

Make Data Observability Everyone’s Business Now