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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

Why is data observability important when using ETL or ELT tools?

Data observability is crucial no matter which integration method you use. With ETL or ELT, you're moving and transforming data across multiple systems, which can introduce errors or delays. An observability platform like Sifflet helps you track data freshness, detect anomalies, and ensure SLA compliance across your pipelines. This means fewer surprises, faster root cause analysis, and more reliable data for your business teams.

Can Sifflet monitor data quality in real-time?

Absolutely! Sifflet supports real-time metrics and data quality monitoring across your pipelines. Our AI agents continuously track data freshness, schema changes, and anomalies, so you’re alerted the moment something looks off. It’s like having a 24/7 data guardian that ensures your business decisions are based on accurate and timely information.

How can smart alerting reduce alert fatigue for data teams?

Smart alerting uses business context and severity levels to ensure that only the right people are notified at the right time. Instead of flooding your Slack channel, a good observability platform like Sifflet consolidates alerts and routes them based on asset importance, reducing noise and improving response times.

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.

Why is data observability becoming essential for data-driven companies?

As more businesses rely on data to drive decisions, ensuring data reliability is critical. Data observability provides transparency into the health of your data assets and pipelines, helping teams catch issues early, stay compliant with SLAs, and ultimately build trust in their data.

How does Acceldata support data pipeline monitoring in complex environments?

Acceldata is built for enterprises with hybrid or multi-system environments. It offers deep data pipeline monitoring by tracking everything from infrastructure health to storage and compute usage. This full-stack approach helps teams detect issues early, manage cost, and ensure SLA compliance across sprawling data ecosystems.

What role does data lineage tracking play in observability?

Data lineage tracking is a key part of any robust data observability framework. It helps you understand where your data comes from, how it’s transformed, and where it flows. This visibility is essential for debugging issues, ensuring compliance, and building trust in your data pipelines. It's especially useful when paired with real-time data pipeline monitoring tools.

Is there a networking opportunity with the Sifflet team at Big Data Paris?

Yes, we’re hosting an exclusive after-party at our booth on October 15! Come join us for great conversations, a champagne toast, and a chance to connect with data leaders who care about data governance, pipeline health, and building resilient systems.

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