The Control Plane for %%Data and AI%%

We catch data issues before they reach the business, show exactly why they happened, and how to fix them. So the data behind every decision is one you can trust.

The premier %%virtual summit%% on data reliability, observability, and the future of trustworthy AI.

What Our Customers Say

See Sifflet in action!

Curious about how Sifflet can transform the way your team works with data?

Join our 30-min biweekly demo to see how data leaders, engineers, and platform teams use Sifflet to detect, resolve, and prevent issues—before they impact the business.

Dynex Capital
Euronext
Dailymotion
Saint-Gobain
ShopBack
Servier
Penguin Random House
Adaptavist
Mollie
Hypebeast
Deuna
BBC Studios
Carrefour
Etam
Auchan

Your pipelines are monitored. Your alerts are firing. %%So why does bad data keep reaching the business?%%

Detection is table stakes. What matters is what happens next: why it broke, what it affects, and how to fix it.

Know What Actually Matters

Not all alerts are equal. Sifflet enriches every issue with lineage, downstream usage, and ownership — so you stop treating schema drift and a broken exec dashboard the same way. Focus on what has real business consequences.

Stop Playing Detective

When something breaks, the context you need is already there: upstream lineage, recent schema changes, historical behavior. The root cause you'd spend hours hunting, surfaced in minutes.

One Control Layer Across Your Full Stack

Incidents don't respect tool boundaries. Sifflet covers the whole chain — warehouses, orchestrators, BI — so nothing falls through the gap between Snowflake and the dashboard your CFO opens on Monday morning.

TRACEABLE

Improve productivity and collaboration between engineers and data consumers

For everyone, working with and finding data becomes intuitive with a simple and automated UI, data discovery is simplified with a data catalog, and it is easy to connect with coding workflows.

Sifflet dashboard features overview
Sifflet dashboard features overview
Data Lineage

Troubleshoot

When data breaks, trace it. Map any issue upstream, downstream, and across layers — field by field. Know exactly where a number came from, what it affects, and how to fix it. A lineage gap is a trust gap. Sifflet closes it.

Data quality monitoring

Monitor

Monitor everything. Miss nothing. Out-of-the-box and custom monitoring across every asset — including the ones you didn't know to watch. AI reduces noise as your stack grows, so your team stays focused on signals that matter, not the ones that don't.

Data reliability is a team sport

The right view for everyone in the buying center: the people who build it, the people who govern it, and the people who depend on it.

Data Leaders

Drive innovation and enable AI. With Sifflet, you can transform your data strategy, governance, and team productivity while ensuring efficient and scalable data infrastructure.

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Data Engineers

Boost your productivity. Sifflet gives you end-to-end visibility into your architecture, assets, and pipelines. Advanced monitoring ensures you get the right alerts and lineage helps you get to resolution faster.

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Data Users

No more data discrepancies. Sifflet ensures the highest levels of data quality. Your teams can make the best possible decisions for your company, unlocking new levels of performance that help you compete in the age of AI.

Read more

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
Dynex Capital
Euronext
Dailymotion
Saint-Gobain
ShopBack
Servier
Penguin Random House
Adaptavist
Mollie
Hypebeast
Deuna
BBC Studios
Carrefour
Etam
Auchan
Still have a question in mind ?
Contact Us

Frequently asked questions

How does Sifflet use AI agents to support data governance and compliance?
Sifflet’s AI agents help enforce data contracts, track data lineage, and monitor schema changes, all of which are critical for strong data governance. By automatically flagging issues that could impact GDPR data monitoring or audit logging, the platform ensures that compliance standards are met without overwhelming human teams.
Can I learn about real-world results from Sifflet customers at the event?
Yes, definitely! Companies like Saint-Gobain will be sharing how they’ve used Sifflet for data observability, data lineage tracking, and SLA compliance. It’s a great chance to hear how others are solving real data challenges with our platform.
What makes Sifflet a strong alternative to Metaplane for enterprise data teams?
Sifflet stands out as a Metaplane alternative because it offers full-stack data observability with field-level lineage, automated root cause analysis, and business context built into every alert. Its AI-powered agents help reduce alert fatigue and guide remediation, making it ideal for complex, fast-scaling environments where data reliability is crucial.
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.
How does Sifflet support data pipeline monitoring for teams using dbt?
Sifflet gives you end-to-end visibility into your data pipelines, including those built with dbt. With features like pipeline health dashboards, data freshness checks, and telemetry instrumentation, your team can monitor pipeline performance and ensure SLA compliance with confidence.
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.
How does Sifflet support data teams in improving data pipeline monitoring?
Sifflet’s observability platform offers powerful features like anomaly detection, pipeline error alerting, and data freshness checks. We help teams stay on top of their data workflows and ensure SLA compliance with minimal friction. Come chat with us at Booth Y640 to learn more!
What makes Carrefour’s approach to observability scalable and effective?
Carrefour’s approach combines no-code self-service tools with as-code automation, making it easy for both technical and non-technical users to adopt. This balance, along with incremental implementation and cultural emphasis on data quality, supports scalable observability across the organization.

More data. %%Less Chaos.%%

If you want a smoother running stack,
let’s talk about what Sifflet can do for you. 

Contact Us