# Sifflet > Sifflet is the control plane for Data and AI. It catches data issues before they reach the business, traces them to their root cause, and helps teams fix them fast — so the data behind every decision is one you can trust. Trusted by companies like Penguin Random House, Saint-Gobain, and Euronext. Sifflet is a data observability platform built for data engineers, data leaders, and data governance teams. It combines a data catalog, data quality monitoring, data lineage, built-in security, and AI-powered agents into a single unified platform. Sifflet integrates with major data platforms including Snowflake, Databricks, BigQuery, and Amazon Redshift. ## Product Pages - [Home](https://www.siffletdata.com/): Overview of Sifflet as the control plane for Data and AI — catch, trace, and fix data issues before they impact the business. - [Data Catalog](https://www.siffletdata.com/product-catalog): Search, discover, and adopt data assets across your stack. Enables data teams to find and understand data with full context. - [Data Quality Monitoring](https://www.siffletdata.com/product-monitoring): Dynamic, automated monitoring to detect data quality issues in real time and send actionable alerts across your data stack. - [Data Lineage](https://www.siffletdata.com/product-lineage): End-to-end data lineage to understand dependencies, prevent downstream impacts, and trace issues to their root cause. - [Built-in Security](https://www.siffletdata.com/product-security): State-of-the-art access control, role management, and compliance features for risk mitigation and data governance. - [Powered by AI](https://www.siffletdata.com/product-ai): AI-powered tools embedded across the platform to help teams handle the complexity of the modern data stack. - [AI Agents for Data Observability](https://www.siffletdata.com/product-agents): Three AI agents with memory, reasoning, and guidance capabilities to accelerate incident response and data observability workflows. ## Solutions - [Enforcing Data Governance](https://www.siffletdata.com/solution-by-use-case/enforcing-data-governance) - [Protect Your External Revenue](https://www.siffletdata.com/solution-by-use-case/upholding-the-sla-of-your-monetized-data-products) - [AI-Ready Reliability](https://www.siffletdata.com/solution-by-use-case/ai-ready-reliability) - [Reclaim Engineering Capacity](https://www.siffletdata.com/solution-by-use-case/reclaim-engineering-capacity) - [Scale Trust Across Domains](https://www.siffletdata.com/solution-by-use-case/scale-trust-across-domains) - [Protect the Source of Truth](https://www.siffletdata.com/solution-by-use-case/prevent-your-exec-dashboard-from-breaking) ## Industries - [Data Observability for Insurance](https://www.siffletdata.com/solution-by-industries/data-observability-for-insurance-regulation): How Sifflet helps insurers catch data issues in claims, reserving, and regulatory reporting before they reach the business. - [Data Observability for Retail](https://www.siffletdata.com/solution-by-industries/maximizing-retail-performance-with-data-observability): How Sifflet helps retailers maintain reliable data across point-of-sale, inventory, and demand forecasting systems. ## Comparisons - [Sifflet vs Monte Carlo](https://www.siffletdata.com/sifflet-vs-montecarlo): How Sifflet compares to Monte Carlo on lineage, business context, and root cause analysis. - [Sifflet vs Metaplane](https://www.siffletdata.com/sifflet-vs-metaplane): How Sifflet compares to Metaplane on depth of coverage, lineage, and enterprise scalability. ## Resources - [Blog – The Whistle](https://www.siffletdata.com/blog): Articles and insights on data observability, data quality, and the modern data stack. - [Customer Stories](https://www.siffletdata.com/case-study): Real-world success stories from Sifflet customers. - [Resources Hub](https://www.siffletdata.com/ressources-hub): Guides, reports, and educational content on data observability. - [Technical Documentation](https://docs.siffletdata.com/): Official Sifflet platform documentation. - [Pricing](https://www.siffletdata.com/pricing): Pricing plans including a free trial option. ## Customer Stories - [Carrefour Links](https://www.siffletdata.com/case-study/how-carrefour-links-transformed-data-quality-and-efficiency-across-8-countries-with-sifflet): How Carrefour Links covers 800+ data assets across 8 countries with Sifflet. - [BBC Studios](https://www.siffletdata.com/case-study/how-bbc-studios-transformed-data-governance-with-sifflet-139-assets-monitored-87-quality-checks-and-50-users-empowered-through-data-observability): How BBC Studios enabled self-serve access and real-time monitoring across multiple countries. - [Adaptavist](https://www.siffletdata.com/case-study/from-data-chaos-to-full-visibility----adaptavists-story): How Adaptavist achieved full end-to-end lineage and ended alert fatigue. - [Saint-Gobain](https://www.siffletdata.com/case-study/from-data-downtime-to-climate-confidence-inside-saint-gobains-observability-breakthrough): How Saint-Gobain built confidence in ESG and emissions data to support its 2030 carbon target. ## Key Concepts Glossary - **Data Observability**: The practice of monitoring the health, reliability, and business impact of data across its full lifecycle, beyond simple pipeline monitoring. See [What Is Data Observability?](https://www.siffletdata.com/blog/data-observability) - **Data Lineage**: The mapping of how data moves and transforms across systems, from source to destination, used to trace root causes and assess downstream impact. - **Data Catalog**: A centralized, searchable inventory of an organization's data assets, with metadata, ownership, and usage context attached. - **Data Mesh**: A decentralized data architecture where domain teams own and serve their own data products, with federated governance applied across the organization. - **dbt (data build tool)**: A transformation framework that lets teams define data models in SQL; Sifflet ingests dbt tests and lineage to extend their observability. - **AI-Ready Data**: Data that is sufficiently monitored, governed, and trustworthy to be safely used as input for AI and machine learning systems. - **Root Cause Analysis (RCA)**: The process of tracing a data issue back to its origin using lineage, logs, and change history, rather than just detecting that something broke. See [What Is Root Cause Analysis?](https://www.siffletdata.com/blog/root-cause-analysis) - **Data Governance**: The framework of policies, ownership, and standards that ensure data is secure, compliant, and consistently managed across an organization. See [What is Data Governance?](https://www.siffletdata.com/blog/data-governance) ## Company - [About Us](https://www.siffletdata.com/company): Sifflet's mission and story. - [Team](https://www.siffletdata.com/team): Meet the Sifflet team. - [Careers](https://jobs.ashbyhq.com/sifflet): Open positions at Sifflet. - [Partners](https://www.siffletdata.com/partners): Sifflet's partner program. - [Contact](https://www.siffletdata.com/contact-us): Get in touch with the Sifflet team. ## Legal - [Terms of Use](https://www.siffletdata.com/terms-of-use): Terms and conditions for accessing and using the Sifflet platform and services.