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Get ahead of business issues before they become business catastrophes.

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

Show Your Stack Who’s Boss

Unified data observability that packs a three-in-one punch. From data discovery to integrated monitoring and troubleshooting capabilities, you’ll be the one in charge.

Seamlessly connect with all your favorite data tools to centralize insights and unlock the full potential of your data ecosystem.

Join the ranks of happy customers who’ve made Sifflet a G2 leader, trusted for its innovation and impact

Stay ahead of issues with real-time alerts that keep you informed and in control of your data health

Organize, discover, and leverage your data assets effortlessly with a smart, searchable catalog built for modern teams.

Harness the power of AI-driven suggestions to improve efficiency, accuracy, and decision-making across your workflows.

Empower your team with tailored access, enabling secure collaboration that drives smarter decisions.

Frequently asked questions

Can Sifflet support SLA compliance and data governance goals?

Absolutely! Sifflet supports SLA compliance through proactive data quality monitoring and real-time metrics. Its deep metadata integrations and lineage tracking also help organizations enforce data governance policies and maintain trust across the entire data ecosystem.

How can data observability help improve the happiness of my data team?

Great question! A strong data observability platform helps reduce uncertainty in your data pipelines by providing transparency, real-time metrics, and proactive anomaly detection. When your team can trust the data and quickly identify issues, they feel more confident, empowered, and less stressed, which directly boosts team morale and satisfaction.

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.

What’s new in Sifflet’s integration with dbt?

We’ve supercharged our dbt integration! Sifflet now offers deeper metadata visibility and powerful dbt impact analysis for both GitHub and GitLab. This helps you assess the downstream effects of model changes before deployment, boosting your confidence and control in data pipeline monitoring.

What are the five technical pillars of data observability?

The five technical pillars are freshness, volume, schema, distribution, and lineage. These cover everything from whether your data is arriving on time to whether it still follows expected patterns. A strong observability tool like Sifflet monitors all five, providing real-time metrics and context so you can quickly detect and resolve issues before they cause downstream chaos.

How does Sifflet help with data freshness monitoring?

At Sifflet, we offer a powerful Freshness Monitor that tracks when your data arrives and alerts you if it's missing or delayed. Whether you're working with batch or streaming pipelines, our observability platform makes it easy to stay on top of data freshness and ensure your analytics stay accurate and timely.

Why is data quality so critical for businesses today?

Great question! Data quality is essential because it directly influences decision-making, customer satisfaction, and operational efficiency. Poor data quality can lead to faulty insights, wasted resources, and even reputational damage. That's why many teams are turning to data observability platforms to ensure their data is accurate, complete, and trustworthy across the entire pipeline.

What should I look for in a reverse ETL tool?

When choosing a reverse ETL tool, key features to consider include reliable syncing, strong security and privacy controls, and broad integration capabilities. These features help ensure smooth data pipeline monitoring and support data governance across your organization.

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