Search, Shop and Adopt Your Data
Everyone’s more productive when they can discover, browse, preview and adopt the data they need with confidence, all from one spot.
Intelligent by Design
At last, a data catalog that’s smart. Powered by algorithms that make it easy to find what you’re looking for in seconds and LLM-assisted documentation and classification recommendations that can even detect PII.
Nothing But the Truth
From a business glossary to centralized metadata, give everyone a single source of truth. And you’ll never question data accuracy, freshness or reliability thanks to built-in monitoring.
Easy to Connect and Use
The moment you open your data catalog, it’s ready for whatever you need. Whether you’re on the product team and want to understand how churn rate is computed or a business analyst in search of the right data source, intuitive UI means everyone can collaborate.
Single Source of Truth
A one-stop shop for data knowledge at your company.
- E2E with OOTB cataloguing and declarative
- Maintain data documentation and classification thanks to GenAI assisted asset descriptions that can detect PII
- Create a business glossary so everyone’s on the same page
- Preview your data in one click
Smart Data Assets Search
Find and adopt the data you need for your work, in record time.
- Simplify discovery with smart data sorting algorithms
- Segment data access for business domains
- Use the Sifflet Insights browser extension while you work
Built-In Monitoring
When monitoring is built in, you’ll never question data freshness, accuracy, or reliability.
- Enable data mesh and data self-serve thanks to built-in monitoring and data asset health status
- Enhance and assess monitoring coverage with filtering options
On the Same Page
Built for Everyone
Sifflet's data catalog makes is simple to give everyone a shared understanding of your data assets.
Looking for more?
Your data catalog is not enough
Data catalogs are essential for modern data management, streamlining operations and maximizing value. Choosing the right one means understanding their history, features, and future potential.
How Carrefour Transformed Data Quality
Discover how Carrefour Links achieved 800+ data assets coverage, 80% efficiency gains, and streamlined operations across 8 countries with Sifflet.
A Guide to Assessing your Need for Data Observability
Every data-driven team dreams of creating "fireworks" with their insights. But without control, the "fire" of the modern data stack can spark chaos.
Discover if you're fighting fires or igniting fireworks:
Drive Data Adoption Now
Sifflet makes sure your teams never question the accuracy, freshness, or quality of assets in your catalog.
"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. "
"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."
"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"
"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."
"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."
Frequently asked questions
Data-quality-as-code (DQaC) allows you to programmatically define and enforce data quality rules using code. This ensures consistency, scalability, and better integration with CI/CD pipelines. Read more here to find out how to leverage it within Sifflet
Yes, Sifflet leverages AI to enhance data observability with features like anomaly detection and predictive insights. This ensures your data systems remain resilient and can support advanced analytics and AI-driven initiatives. Have a look at how Sifflet is leveraging AI for better data observability here
AI enhances data observability with advanced anomaly detection, predictive analytics, and automated root cause analysis. This helps teams identify and resolve issues faster while reducing manual effort. Have a look at how Sifflet is leveraging AI for better data observability here
Data observability ensures data governance policies are adhered to by tracking data usage, quality, and lineage. It provides the transparency needed for accountability and compliance. Read more here.
Yes! While smaller organizations may have fewer data pipelines, ensuring data quality and reliability is equally important for making accurate decisions and scaling effectively. What really matters is the data stack maturity and volume of data. Take our test here to find out if you really need data observability.
-p-500.png)
