Works with

Dagen + BigQuery. Agentic pipelines on Google Cloud.

BigQuery stays your analytics engine. Dagen builds and heals the pipelines around it, and when your team adopts Iceberg for open storage, Dagen builds that bridge too.

Why Dagen + BigQuery

BigQuery stays the engine. Agents take the pipeline load.

Build and heal flows into BigQuery, serve Agent Views on your datasets, and optionally bridge to Iceberg when you want open storage alongside.

Pipelines on BigQuery.

From intent and existing SQL

Agents generate ingestion and transformation flows targeting BigQuery, from intent and from your existing SQL and jobs.

Self-healing on your estate.

Upstream changes caught early

Upstream changes get caught and repaired by the agentic runtime before they corrupt your BigQuery datasets.

Iceberg alongside BigQuery

For teams adopting open table formats alongside BigQuery, agents rebuild the affected pipelines Iceberg-native while carrying your logic forward.

Agent Views on BigQuery data.

Documented, denormalized views

Documented, denormalized views served over MCP, so AI agents answer from your BigQuery data instead of guessing at raw schemas.

How it connects

Your project, your governance.

01 · Connect

Scope your GCP project

Dagen connects to your Google Cloud project with scoped service accounts. Pipelines run under your governance and write to your datasets.

02 · Build

Generate BigQuery pipelines

Agents generate ingestion and transformation flows from intent and from your existing SQL, integrated with the scheduling and cataloging you already use.

03 · Heal

Protect your datasets

The agentic runtime detects upstream drift and repairs pipelines before bad data reaches BigQuery.

04 · Serve

Agent Views over MCP

Agent Views on BigQuery data are served over MCP for Claude and any MCP-compatible agent — governed answers, not raw-schema guessing.

Frequently asked

Dagen and BigQuery, answered.

Does Dagen work with our existing BigQuery SQL?+

Yes. Your existing SQL is an asset, not a liability. Agents read it, map its dependencies, and reuse the logic in everything they build.

Can we move some BigQuery workloads to Iceberg without leaving Google Cloud?+

Yes. Iceberg adoption is usually additive, and Dagen builds pipelines for the mixed estate: open tables where you want them, BigQuery where it shines.

Can AI agents query our BigQuery data through Dagen?+

Yes. Dagen builds Agent Views on BigQuery data and serves them over MCP for Claude and any MCP-compatible agent.

Does Dagen replace BigQuery as our analytics engine?+

No. BigQuery stays your analytics engine. Dagen builds and heals the pipelines around it — and Agent Views on top of it.

See it on your BigQuery estate.

Thirty minutes. Your stack, your scenario. We build a pipeline in front of you.