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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

How does Sifflet support enterprises with data pipeline monitoring?

Sifflet provides a comprehensive observability platform that monitors the health of data pipelines through features like pipeline error alerting, data freshness checks, and ingestion latency tracking. This helps teams identify issues early and maintain SLA compliance across their data workflows.

How did Sifflet help reduce onboarding time for new data team members at jobvalley?

Sifflet’s data catalog provided a clear and organized view of jobvalley’s data assets, making it much easier for new team members to understand the data landscape. This significantly cut down onboarding time and helped new hires become productive faster.

How does Sifflet help Adaptavist detect issues before they impact stakeholders?

Sifflet enables real-time metrics and data freshness checks that surface anomalies before they escalate. With features like alerting, lineage tracking, and pre-prod validation, teams at Adaptavist can spot and fix problems early, reducing surprise outages and improving SLA compliance.

How does data observability support effective AI governance?

Great question! Data observability plays a crucial role in AI governance by helping teams continuously monitor model behavior, detect data drift or concept drift, and ensure outputs remain fair and explainable. With tools like data lineage tracking and real-time metrics, observability helps verify that AI systems operate within approved policies, making governance not just a policy but a practice.

Why did Adaptavist choose Sifflet over other observability tools?

Callum and his team were impressed by how quickly Sifflet’s cross-repo data lineage tracking gave them visibility into their pipelines. Within days, they had a working proof of concept and were debugging in minutes instead of days. The unified view across their stack made Sifflet the right fit for scaling data observability across teams.

How does Sifflet ensure data security within its data observability platform?

At Sifflet, data security is built into the foundation of our data observability platform. We follow three core principles: least privilege, no storage, and single tenancy. This means we only use read-only access, never store your data, and isolate each customer’s environment to prevent cross-tenant access.

What makes Sifflet’s AI agents different from traditional observability tools?

Great question! Traditional observability platforms focus mostly on detection and alerting, but Sifflet’s AI agents go beyond that. They’re designed to understand business impact, automate root cause analysis, and even take action when appropriate. This shift means data reliability becomes proactive and business-aware, not just reactive and technical. It’s a whole new level of data observability.

Why is a centralized AI governance platform important?

A centralized AI governance platform helps streamline oversight by consolidating model documentation, approval workflows, and audit trails. It also supports SLA compliance and simplifies incident response by making it easier to trace issues back to their root cause using data observability dashboards and telemetry instrumentation.

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