Solution by Use Case

Incident Response Optimization

A Seriously Smart Upgrade.

Prevent, detect and resolve incidents faster than ever before. No matter what your data stack throws at you, your data quality will reach new levels of performance.

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No More Over Reacting

Sifflet takes you from reactive to proactive, with real-time detection and alerts that help you to catch data disruptions, before they happen. Watch your mean time to detection fall rapidly. On even the most complex data stacks.

Advanced capabilities such as multidimensional monitoring help you seize complex data quality issues, even before breaks
ML-based monitors shield your most business-critical data, so essential KPIs are protected and you get notified before there is business impact
OOTB and customizable monitors give you comprehensive, end-to-end coverage and AI helps them get smarter as they go, reducing your reactivity even more.

Resolutions in Record Time

Get to the root cause of incidents and resolve them in record time.

Quickly understand the scope and impact of an incident thanks to detailed system visibility
Trace data flow through your system, identify the start point of issues, and pinpoint downstream dependencies to enable a seamless experience for business users, all thanks to data lineage
Halt the propagation of data quality anomalies with Sifflet’s Flow Stopper

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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

How does Forge support incident response automation?

Forge is our resolution agent that turns insights into actions. It recommends specific fixes based on past incidents, and with your approval, it can execute them automatically. Whether it’s retrying a dbt job or running a backfill, Forge reduces manual work and speeds up recovery. It’s a big step forward in incident response automation and keeping your data pipelines healthy.

Why is data lineage important for GDPR compliance?

Data lineage is essential for GDPR because it helps you trace personal data from source to destination. This means you can see where PII is stored, how it flows through your data pipelines, and which reports or applications use it. With this visibility, you can manage deletion requests, audit data usage, and ensure data governance policies are enforced consistently.

When should organizations start thinking about data quality and observability?

The earlier, the better. Building good habits like CI/CD, code reviews, and clear documentation from the start helps prevent data issues down the line. Implementing telemetry instrumentation and automated data validation rules early on can significantly improve data pipeline monitoring and support long-term SLA compliance.

How can I monitor the health of my ETL or ELT pipelines?

Monitoring pipeline health is essential for maintaining data reliability. You can use tools that offer data pipeline monitoring features such as real-time metrics, ingestion latency tracking, and pipeline error alerting. Sifflet’s pipeline health dashboard gives you full visibility into your ETL and ELT processes, helping you catch issues early and keep your data flowing smoothly.

Why is a data catalog essential for modern data teams?

A data catalog is critical because it helps teams find, understand, and trust their data. It centralizes metadata, making data assets searchable and understandable, which reduces duplication, speeds up analytics, and supports data governance. When paired with data observability tools, it becomes a powerful foundation for proactive data management.

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.

How does Sifflet support data pipeline monitoring at Carrefour?

Sifflet enables comprehensive data pipeline monitoring through features like monitoring-as-code and seamless integration with data lineage tracking and governance tools. This gives Carrefour full visibility into their pipeline health and helps ensure SLA compliance.

What improvements has Sifflet made to incident management workflows?

We’ve introduced Augmented Resolution to help teams group related alerts into a single collaborative ticket, streamlining incident response. Plus, with integrations into your ticketing systems, Sifflet ensures that data issues are tracked, communicated, and resolved efficiently. It’s all part of our mission to boost data reliability and support your operational intelligence.

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