Introducing Snowflake Semantic Views in Astrato

You’ve defined your business in Snowflake. Now put it to work in Astrato.

Today we’re launching Snowflake Semantic Views in Astrato.

Snowflake provides the trusted semantic foundation for your business. Starting today, Astrato puts that foundation to work.

Astrato connects to your existing Snowflake Semantic Views, extends them with richer analytical logic and business context, and transforms them into AI-powered analytics, interactive data applications and actionable workflows.

Definitions remain connected to their source, changes can be reviewed and adopted, and supported semantic work created in Astrato can be published back to Snowflake for broader reuse.

Why this matters now

As organisations invest in Snowflake Semantic Views, the next challenge is no longer simply defining business metrics consistently. It’s making those definitions useful across the growing number of AI assistants, analytics experiences and business applications.

Astrato connects that semantic foundation to the experiences people actually use to understand their business, make decisions and take action.

Start from Snowflake

Bring your existing Snowflake Semantic Views into Astrato without recreating business definitions.

Keep visibility into the definitions Snowflake owns. Stay informed of upstream changes, and review updates before you adopt them.

Your existing semantic investment becomes the starting point, not another integration project.

An imported table in Astrato showing that it is linked to its Snowflake semantic view

Extend it in Astrato

Go beyond defining metrics.

Extend your Snowflake semantics with richer calculations, dynamic analytical logic, additional dimensions and business context. Manage every change through validation, lineage and controlled publishing.

Then put those definitions to work across:

• AI assistants. Ask business questions through Nash and MCP-connected assistants, grounded in shared semantic definitions.
• Interactive analytics. Explore performance, investigate drivers and answer follow-up questions.
• AI-generated data applications. Build and share applications that combine governed analytics with tailored interactive experiences.
• Actions and writeback. Move from analysing business performance to taking action directly within applications.

From trusted definitions to decisions and actions, without building everything from scratch.

A new calculated measure being built in Astrato from two measures that came from a Snowflake semantic view

Publish it back to Snowflake

Publish supported semantic definitions and descriptions created in Astrato back into Snowflake Semantic Views, and make them available to other Snowflake-connected teams, tools and applications.

Ownership stays clear between Snowflake-managed definitions and Astrato extensions. Source changes can be reviewed before adoption, while supported definitions can be explicitly exported to Snowflake

You extend your semantic investment without creating another isolated semantic silo.

The Export menu in Astrato, with the option to export a Snowflake semantic view

One trusted semantic foundation

Define once. Extend where needed. Activate everywhere Astrato works. Publish back for reuse.

The result: one trusted semantic foundation, more powerful analytics, AI-driven applications and business action.

Available today

Snowflake Semantic Views in Astrato are live now. Bring in your first semantic view today and start putting it to work.