Make Data %%Observability%% Everyone’s Business

Sifflet is an AI-augmented data observability platform built for data teams with business users in mind.

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

See Data Breakthroughs

Sifflet helps you remove the obstacles that stand in the way of superior insights, value, and products from data.

Customize to Your Heart’s Content

Sifflet offers both a robust library of out of the box monitors and customization capability. Your teams decide what needs monitoring and how to set it up.

Customize to Your Heart’s Content

Sifflet offers both a robust library of out of the box monitors and customization capability. Your teams decide what needs monitoring and how to set it up.

Customize to Your Heart’s Content

Sifflet offers both a robust library of out of the box monitors and customization capability. Your teams decide what needs monitoring and how to set it up.

TACABLE

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 data monitoring
Data Lineage

Troubleshoot

When data breaks, take charge. Use Sifflet’s robust tracing capabilities to map your data upstream, downstream and across data layers. You’ll gain insight into your data across the entire lifecycle and see rapid improvements to data quality that benefit the entire company.

Sifllet dashboard data quality monitoring
Data quality monitoring

Monitor

When data breaks, take charge. Use Sifflet’s robust tracing capabilities to map your data upstream, downstream and across data layers. You’ll gain insight into your data across the entire lifecycle and see rapid improvements to data quality that benefit the entire company.

Built for %%Everyone%%

Sifflet helps you remove the obstacles that stand in the way of superior insights, value, and products from data. 

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.

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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
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

Can I build custom observability dashboards using Sifflet data?
Absolutely! With Sifflet's Data Sharing, you can connect your favorite BI tools like Looker, Tableau, or Power BI to our shared tables. This lets you build tailored dashboards and reports using real-time metrics from your observability data, helping you track KPIs, monitor SLA compliance, and visualize trends across teams or domains.
How can data lineage tracking improve root cause analysis during incidents?
Data lineage tracking lets you see how data flows across your pipelines, from source to dashboard. This visibility is crucial for root cause analysis because it helps pinpoint exactly where issues originate and which downstream assets are affected. With Sifflet, lineage is mapped automatically, so you can resolve issues faster and with full context.
How does data observability help improve data reliability?
Data observability gives you end-to-end visibility into your data pipelines, helping you catch issues like schema changes, data drift, or ingestion failures before they impact downstream systems. By continuously monitoring real-time metrics and enabling root cause analysis, observability platforms like Sifflet ensure your data stays accurate, complete, and up-to-date, which directly supports stronger data reliability.
What makes traditional data monitoring insufficient for modern retail operations?
Traditional monitoring often relies on batch processing, leading to delays in inventory updates. It also struggles with data silos, lacks robust data quality monitoring, and is mostly reactive. In contrast, modern observability tools provide real-time insights, dynamic thresholding, and predictive analytics monitoring to keep up with fast-paced retail environments.
Who should be the first hire on a new data team?
If you're just starting out, look for someone with 'Full Data Stack' capabilities, like a Data Analyst with strong SQL and business acumen or a Data Engineer with analytics skills. This person can work closely with other teams to build initial pipelines and help shape your data platform. As your needs evolve, you can grow your team with more specialized roles.
Is this feature scalable for large datasets and multiple data assets?
Yes, it is! With Sifflet’s auto-coverage and observability tools, you can monitor distribution deviation at scale with just a few clicks. Whether you're working with batch data observability or streaming data monitoring, Sifflet has you covered with automated, scalable insights.
Is this feature part of Sifflet’s larger observability platform?
Yes, dbt Impact Analysis is a key addition to Sifflet’s observability platform. It integrates seamlessly into your GitHub or GitLab workflows and complements other features like data lineage tracking and data quality monitoring to provide holistic data observability.
How does Sifflet support root cause analysis when a deviation is detected?
Sifflet combines distribution deviation monitoring with field-level data lineage tracking. This means when an anomaly is detected, you can quickly trace it back to the source and resolve it efficiently. It’s a huge time-saver for teams managing complex data pipeline monitoring.

More data. %%Less Chaos.%%

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

Contact Us