Zetaris

Claude and Cursor can write the code. Zetaris gives them governed access to the data, across Snowflake, Databricks, S3 and on-prem, queried where it already lives.

NEW COURSE · COMING SOON
Make Your Data AI-Ready: Zetaris Cloud, Claude, Cursor and Power BI

We’re building this course with the Zetaris team right now. You’ll deploy Zetaris Cloud into your own AWS account and connect a retail dataset with sales data in Postgres, clickstream in Databricks and marketing data in S3. Then you query it from Claude, Cursor and Power BI to find out which campaigns actually pay off.

Snowflake + BigQuery in ONE Query?! Federated SQL with Zetaris

Ever wanted to run a SQL query that pulls data from both BigQuery and Snowflake without moving any data? I tried it with Zetaris and was seriously impressed!

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About Zetaris

AI coding tools have gotten incredibly good at writing code. Getting them to the right data hasn’t kept up. In most companies that data is spread across Postgres, S3, Databricks, Snowflake, on-prem systems and APIs, and it’s rarely in a shape an AI tool can safely use.

Zetaris positions itself as the data harness for AI. Claude, Cursor and Codex are your coding harness. Zetaris is the layer that gets your data ready for them, and the center of that is the unified semantic layer. That’s where data from different sources gets turned into governed, business-ready definitions, with access rules down to the table and column. Everything downstream reads from it. AI tools connect over MCP or REST, BI tools like Power BI over JDBC, so your agents and your dashboards work from the same definition of the data instead of stale exports or guesswork.

Underneath, Zetaris queries your sources where they already live. You define each connection once, and Query Director runs each part of a query on the engine that fits it best, directly at the source.

It also runs in your cloud, not theirs. Zetaris Cloud deploys into your own AWS account under an IAM role trust model and never holds a long-lived credential. You own the cluster, the keys and the bill.

Zetaris Cloud just launched with a free Hobby tier. You only pay AWS for the compute you use, and you can have a cluster running in about 20 minutes:

Start free here.

We’re also building a hands-on course with the Zetaris team right now. You’ll deploy Zetaris Cloud into your own AWS account, connect a retail dataset across Postgres, Databricks and S3, and query it from Claude, Cursor and Power BI. More on that soon.

More Material

Zetaris Cloud is live

Spin up your own AI data harness in about 20 minutes. Zetaris Cloud deploys into your AWS account, connects to your sources where they already live, and lets you query them from tools like Claude, Cursor and Power BI. The Hobby tier is free, you only pay AWS for compute.

Product Demo

A short intro to the Zetaris AI Data Hub: querying live data across sources without moving it, a shared semantic layer for analysts and AI agents, and MCP connections to tools like Claude and Cursor.

eBook

Data virtualization has been around since the mid-2000s, but the idea has evolved a lot since then. This free For Dummies ebook explains the shift toward querying data across sources without consolidating it first, plus the trade-offs and how to get started. A nice primer if you want to understand the thinking behind tools like Zetaris.