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Holistics is a code-first BI platform built around two structural foundations:

  1. An expressive semantic layer where business metrics, dimensions, and relationships are defined as composable code objects using AQL and AML. Metrics aren't SQL strings — they're first-class objects that can be reused, combined, and reasoned about.
  2. Analytics-as-code infrastructure where every definition is version-controlled in Git, reviewable through pull requests, and promotable through environments.

These foundations are why trusted AI analytics, governed self-service, and embedded analytics actually work in practice. AI doesn't guess from raw tables. It reasons from the same governed business definitions your team uses. Self-service doesn't break on the second question, because the semantic layer is expressive enough to handle real analytical questions, not just simple slice-and-dice.

How Holistics fits in your Data Stack

Where to start

Understand Holistics:

Try it hands-on:

If you have a specific evaluation in mind: Holistics AI (AI on the governed semantic layer), Open Semantic Layer (query metrics programmatically), Embedded Analytics (dashboards and AI in your product), or Coming from Looker.

Stay in the loop

Older versions of Holistics

This site covers Holistics 4.0. If you're on an earlier version:


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