Alation unifies data quality and metadata, giving a full view of data trust—whether using partners or Alation’s AI-powered Data Quality.
Data ecosystems are complex, and organizations need a complete view of data health with the flexibility to manage quality their way. Alation provides both—an open approach that integrates with leading data quality and observability tools and a native, AI-powered Alation Data Quality solution for seamless, automated data trust.
Empower data consumers to decide if and how to use data — with full context on its history and risk. Alation surfaces a range of health metrics to signal data trustworthiness. Quickly detect and resolve issues before problems arise. Communicate impacts to the organization, team, or data steward.
Different tools specialize in data quality by industry, region, and business type. Alation's Open Data Quality Framework provides a flexible approach to integrating the best-of-breed data quality vendors. Insights including quality, reliability, and performance are seamlessly displayed in Alation.
Trust Flags in Alation can be set manually or automatically to flag data assets as endorsed, warned, or deprecated. Like intuitively knowing how to obey traffic lights on the road, Trust Flags guide people on how to use data throughout Alation and beyond, at the point of use.
Document Data Quality policies in Alation Policy Center to provide context of why, how, and when rules are applied. Use the policies to trigger rules from an integrated data quality or observability tool. Create a seamless experience by centralizing policies with data and workflows.
Visualize the impact of deprecation on source to target data assets, directly on the lineage graph. Use Impact Analysis and Upstream Audit to quickly discern not just what data is affected, but who and why.