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
August 7, 2025

Big Step Forward for Our Governance Maturity

Julien  L.
August 6, 2025

Keeps Our Team Aligned and Alert

Camille M.
August 5, 2025

Makes Governance Feel Less Boring

Maxime H.
August 4, 2025

I Don’t Have to Babysit Our Pipelines Anymore

Marion H.
August 1, 2025

Very Useful but Not Plug and Play

Mathieu H.
July 29, 2025

Solid Tool, Still Growing

Mohibullah H.
June 30, 2025

Powerful Data Observability for Modern Data Teams

Anonymous
June 5, 2025

From traditional data quality to agile data oservability

Anonymous
June 5, 2025

Sifflet for BigQuery Cataloguing

Anonymous
October 29, 2024

A useful tool for the modern data stack

Anonymous
October 29, 2024

Sifflet is a game changer for data observability!

Bolade F.
September 16, 2024

My Sifflet Story

Yashwanth T.
September 11, 2024

Very useful tool for Data Management

Adrian R.
September 11, 2024

A friendy user interface that could become more friendly with some improvements

Anonymous
September 10, 2024

Sifflet features

Anonymous
September 10, 2024

Using Sifflet as Analytics Engineer after several month

Akim v.
September 10, 2024

Useful in spotting problems and setting multiple monitors

Rodrigo S.
May 23, 2024

Sifflet

Anonymous
May 22, 2024

Un outil de data observability avec beaucoup d'avenir

Mezzour I.
May 14, 2024

Excellent Data Quality Took

Siddarth K.
April 30, 2024

Very helpful features and proactive team

Clément G.
April 30, 2024

Game changing for Cross Tool Visibility

James M.
April 30, 2024

Intuitive data observability platform suitable across a business

Anonymous
April 26, 2024

An ergonomic tool that responds perfectly to the business and technical challenges of data quality

Abelia P.
April 25, 2024

A powerful data monitoring tool

Anonymous
April 15, 2024

one Year of Enhanced Data Quality and Literacy with Sifflet

Anonymous
April 14, 2024

Data quality game changer

Sriharsha G.
April 12, 2024

A core component of our Data Strategy and Transformation

Sami R.

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.

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’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
Still have a question in mind ?
contact our service customers

Frequently asked questions

Why is data observability important in a modern data stack?
Data observability is crucial because it ensures your data is reliable, trustworthy, and ready for decision-making. It sits at the top of the modern data stack and helps teams detect issues like data drift, schema changes, or freshness problems before they impact downstream analytics. A strong observability platform like Sifflet gives you peace of mind and helps maintain data quality across all layers.
How did Carrefour improve data reliability across its global operations?
Carrefour enhanced data reliability by adopting Sifflet's AI-augmented data observability platform. This allowed them to implement over 3,000 automated data quality checks and monitor more than 1,000 core business tables, ensuring consistent and trustworthy data across teams.
What makes Sifflet’s Data Catalog different from built-in catalogs like Snowsight or Unity Catalog?
Unlike tool-specific catalogs, Sifflet serves as a 'Catalog of Catalogs.' It brings together metadata from across your entire data ecosystem, providing a single source of truth for data lineage tracking, asset discovery, and SLA compliance.
What are the key components of an end-to-end data platform?
An end-to-end data platform includes layers for ingestion, storage, transformation, orchestration, governance, observability, and analytics. Each part plays a role in making data reliable and actionable. For example, data lineage tracking and real-time metrics collection help ensure transparency and performance across the pipeline.
How does Sifflet help with SLA compliance and incident response?
Sifflet supports SLA compliance by offering intelligent alerting, dynamic thresholding, and real-time dashboards that track incident metrics and resolution times. Its data reliability dashboard gives teams visibility into SLA adherence and helps prioritize issues based on business impact, streamlining incident management workflows and reducing mean time to resolution.
Does Sifflet store any of my company’s data?
No, Sifflet does not store your data. We designed our platform to discard any data previews immediately after display, and we only retain metadata like table and column names. This approach supports GDPR compliance and strengthens your overall data governance strategy.
How can data observability help improve the happiness of my data team?
Great question! A strong data observability platform helps reduce uncertainty in your data pipelines by providing transparency, real-time metrics, and proactive anomaly detection. When your team can trust the data and quickly identify issues, they feel more confident, empowered, and less stressed, which directly boosts team morale and satisfaction.
How do the four pillars of data observability help improve data quality?
The four pillars—metrics, metadata, data lineage, and logs—work together to give teams full visibility into their data systems. Metrics help with data profiling and freshness checks, metadata enhances data governance, lineage enables root cause analysis, and logs provide insights into data interactions. Together, they support proactive data quality monitoring.

More data. %%Less Chaos.%%

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

Contact Us