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Tame %%your%% Snowflake stack.

The Offer (valid through Jan 31st, 2026) $30,000 / 12 months (normally $85K - a 65% discount)

Purchase via Snowflake Marketplace or AWS PPA (no PO, no onboarding delays).
Includes:
- Up to 500 assets + unlimited users
- Enterprise Edition features at Entry price, including: SSO, Snowflake Data Sharing, Pipeline Monitoring, AI Agents
‍
Pre-configured 12-month SKU for 1-click private offer acceptance.
Unlockable via unused Snowflake credits.
First 20 customers only.

Activate it now by filling your details below

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

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Frequently asked questions

Why is data observability a crucial part of the modern data stack?

Data observability is essential because it ensures data reliability across your entire stack. As data pipelines grow more complex, having visibility into data freshness, quality, and lineage helps prevent issues before they impact the business. Tools like Sifflet offer real-time metrics, anomaly detection, and root cause analysis so teams can stay ahead of data problems and maintain trust in their analytics.

Can Flow Stopper work with tools like Airflow and Snowflake?

Absolutely! Flow Stopper supports integration with popular tools like Airflow for orchestration and Snowflake for storage. It can run anomaly detection and data validation rules mid-pipeline, helping ensure data quality as it moves through your stack.

What role does data lineage tracking play in data governance?

Data lineage tracking is essential for understanding where data comes from, how it changes, and where it goes. It supports compliance efforts, improves root cause analysis, and reduces confusion in cross-functional teams. Combined with data governance, lineage tracking ensures transparency in data pipelines and builds trust in analytics and reporting.

Is Sifflet Insights easy to set up with my existing tools?

Yes, onboarding is seamless. You can quickly integrate Sifflet Insights with your existing BI tools and start receiving real-time metrics and alerts. It’s designed to enhance efficiency and support incident response automation without disrupting your current workflows.

What practical steps can companies take to build a data-driven culture?

To build a data-driven culture, start by investing in data literacy, aligning goals across teams, and adopting observability tools that support proactive monitoring. Platforms with features like metrics collection, telemetry instrumentation, and real-time alerts can help ensure data reliability and build trust in your analytics.

How can data observability support the implementation of a Single Source of Truth?

Data observability helps validate and sustain a Single Source of Truth by proactively monitoring data quality, tracking data lineage, and detecting anomalies in real time. Tools like Sifflet provide automated data quality monitoring and root cause analysis, which are essential for maintaining trust in your data and ensuring consistent decision-making across teams.

What is reverse ETL and why is it important in the modern data stack?

Reverse ETL is the process of moving data from your data warehouse into external systems like CRMs or marketing platforms. It plays a crucial role in the modern data stack by enabling operational analytics, allowing business teams to act on real-time metrics and make data-driven decisions directly within their everyday tools.

What types of data lineage should I know about?

There are four main types: technical lineage, business lineage, cross-system lineage, and governance lineage. Each serves a different purpose, from debugging pipelines to supporting compliance. Tools like Sifflet offer field-level lineage for deeper insights, helping teams across engineering, analytics, and compliance understand and trust their data.

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