ALATION DATA PRODUCTS
Packaged for people.
Ready for agents.
Every data product ships with the context needed to use it correctly: business definitions, ownership, quality enforcement, versioned contracts, and lineage. Instead of a raw table or a reverse-engineered dashboard someone has to reverse-engineer, you get curated data packaged so that people find it and agents act on it. You can deploy instantly with no migration required, because data products sit on your existing databases.
WHY IT MATTERS
Data wasn't built to be consumed
People guess, agents grab whatever data they reach, and definitions vary by tool. The underlying problem is rarely the data itself; it's that nobody packaged it for consumption.
Find trusted data
Data products surface in Marketplace, Slack, Claude, Teams, and via MCP without requiring support tickets or approval queues. People search and browse, while Alation Skills encode catalog navigation so agents pick the right product every time.
Master once
Align definitions across Databricks, Snowflake, and your BI tools seamlessly. Alation syncs one master definition to where data is consumed, eliminating the need to reconcile metric-backed definitions across teams. Versioned contracts replace tribal knowledge, ensuring every tool operates from the exact same business logic.
Better each use
Every query, agent interaction, and consumer feedback generates automated evaluation signals that continuously refine the product. Quality metrics update in real time, surfacing issues with freshness, accuracy, or definitions before a consumer is affected. As a result your data products learn from actual use and get smarter over time.
DATA PRODUCTS FAQ
What you need to know about
data products
Q1 —
What is a data product?
A data product packages governed data for consumption by people and AI agents. Unlike raw tables or views, it ships with an owner, a versioned contract, quality enforcement, and lineage. Alation Data Products surface in Marketplace, Slack, Claude, Teams, and via MCP. Definitions are mastered once and synced across platforms, so the same metric means the same thing everywhere. No migration required. Data products sit on the database you already run.
Q2 —
How are data products different from tables or views?
Tables and views are infrastructure. Data products are packaged for consumption. Every data product includes a versioned contract with schema, quality thresholds, ownership, and refresh cadence. Definitions are mastered once and synced across Snowflake, Databricks, and BI tools, so the same metric means the same thing everywhere. When a definition changes, it changes in one place and propagates. No more reconciling spreadsheets or discovering that retention rate means something different in every tool.
Q3 —
How do data products work with AI agents?
Agents consume data products through MCP with context, ownership, and quality scores attached. Agents running on raw schemas with no business context or quality guarantee produce unreliable answers. Data products give agents the governed foundation they need: certified data with lineage, definitions, and quality enforcement embedded at the point of publication. Every agent interaction generates a signal that feeds back into the product, so accuracy improves with use rather than degrading over time.
Q4 —
What does it mean that data products are self-improving?
Every interaction generates a signal. Queries, agent behavior, and consumer feedback feed back as evals automatically. Quality signals update continuously. When freshness, accuracy, or definitions degrade, the issue surfaces before a consumer is affected. Static datasets degrade the moment they are published. Data products that learn from consumption stay current and get more accurate over time. The system compounds rather than decays.
Start a Conversation
Speak with an Alation Expert
A 30-minute call to discuss your priorities, challenges, and goals.
Then we’ll show you how the Alation Intelligence Operating System ensures apps and agents act on current, quality, and compliant data.
Enterprises absolutely have to trust the data underneath their most critical process and decisions. We will help you get it right.