Solution by Use Case

Democratize Data Quality

Make data quality everyone’s business

Enable real-time accessibility to data quality metrics throughout the entire organization, catering to both technical and non-technical users.

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Streamlined monitoring experience

Collect assets spanning the entire data lifecycle thanks to built-in integrations
Enable non technical users to create business-informed monitors thanks to an intuitive UI and to the Sifflet AI Assistant

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Improved information accessibility

Access assets’ health status through the Data Catalog and lineage for de-risked data self-service
Get notified of upstream incidents directly on BI tools via a browser extension

Sifflet’s AI Helps Us Focus on What Moves the Business

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

"Enabler of Cross Platform Data Storytelling"

"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

"Building Harmony Between Data and Business With Sifflet"

"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

" Sifflet empowers our teams through Centralized Data Visibility"

"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 allows us to find and trust our data"

"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

"A core component of our data strategy and transformation"

"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

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Frequently asked questions

What kind of data quality monitoring features does Sifflet Insights offer?

Sifflet Insights offers features like real-time alerts, incident tracking, and access to metadata through your Data Catalog. These capabilities support proactive data quality monitoring and streamline root cause analysis when issues arise.

How does Sifflet enhance Apache Airflow for data teams?

Sifflet's integration with Apache Airflow brings powerful data observability features directly into your orchestration workflows. It helps data teams monitor DAG run statuses, understand downstream dependencies, and apply data quality monitoring to catch issues early, ensuring data reliability across the stack.

When should companies start implementing data quality monitoring tools?

Ideally, data quality monitoring should begin as early as possible in your data journey. As Dan Power shared during Entropy, fixing issues at the source is far more efficient than tracking down errors later. Early adoption of observability tools helps you proactively catch problems, reduce manual fixes, and improve overall data reliability from day one.

How does Sifflet help with data lineage tracking?

Sifflet offers detailed data lineage tracking at both the table and field level. You can easily trace data upstream and downstream, which helps avoid unexpected issues when making changes. This transparency is key for data governance and ensuring trust in your analytics pipeline.

What is data governance and why does it matter for modern businesses?

Data governance is a framework of policies, roles, and processes that ensure data is accurate, secure, and used responsibly across an organization. It brings clarity and accountability to data management, helping teams trust the data they use, stay compliant with regulations, and make confident decisions. When paired with data observability tools, governance ensures data remains reliable and actionable at scale.

Why is combining data catalogs with data observability tools the future of data management?

Combining data catalogs with data observability tools creates a holistic approach to managing data assets. While catalogs help users discover and understand data, observability tools ensure that data is accurate, timely, and reliable. This integration supports better decision-making, improves data reliability, and strengthens overall data governance.

How can Sifflet help prevent data disasters like the ones mentioned in the blog?

We built Sifflet to be your data stack's early warning system. Our observability platform offers automated data quality monitoring, anomaly detection, and root cause analysis, so you can identify and resolve issues before they impact your business. Whether you're scaling your pipelines or preparing for AI initiatives, we help you stay in control with confidence.

Can I trust the data I find in the Sifflet Data Catalog?

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.

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