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Dataform is now part of Google Cloud. Read the announcement →
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TRANSFORM YOUR RAW DATA INTO RELIABLE, DOCUMENTED, UP-TO-DATE DATASETS.

Dataform is where your data team works together to build a single source of
truth for your company’s data. Collaborate on SQL pipelines in BigQuery without
writing code or managing infrastructure.


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DATAFORM IS WHERE THE WHOLE DATA TEAM WORKS TOGETHER


ANALYTICS LEADS

See how Dataform enables your team to collaborate together and make sure data is
discoverable across the organization.

Explore Dataform for Analytics leads


DATA ENGINEERS

See how Dataform's open source framework enables you to save costs and reduce
latency across 1000's of datasets.

Explore Dataform for Data engineers


DATA ANALYSTS

See how Dataform's cloud IDE makes writing and maintaining SQL pipelines a
breeze.

Explore Dataform for Data analysts



WHERE DATAFORM FITS IN YOUR STACK

Dataform enables analysts to manage all data processes in BigQuery, turning raw
data into the clean datasets you need for analytics.




HOW DATAFORM WORKS

A software engineering inspired approach to data modeling, pipelines, and data
quality management.




1

WRITE DATA TRANSFORMATIONS AS CODE



Develop your data workflows in SQL with Dataform's built-in templating syntax
and APIs.


2

DEPLOY TO BIGQUERY WITH DATAFORM



Dataform deploys your SQL definitions to BigQuery, creates tables and views, and
runs tests.


3

CREATE A SINGLE SOURCE OF TRUTH FOR YOUR DATA



Finish with trusted, documented, and well-tested datasets ready to be consumed
by other teams, or visualized in dashboards.


WHAT OUR CUSTOMERS SAY

Mike Lee

HEAD OF DATA



Being able to produce analytics tables that we are confident in the output of
(because of assertions) and are as up to date as we need them to be (because of
scheduling) makes our lives really easy. The UI is incredibly easy and intuitive
to use, meaning we spend little of our time setting these things up, and most of
our time writing SQL!


Jim Lumsden

GROWTH ANALYST



I love the dependency tree in Dataform. For me this is a central place for
sanity checking my data flows, understanding if I'm reimplementing a dataset
which already exists, and verifying logic. Secondly, I love SQLX for generating
SQL of a similar structure again and again, it really speeds up development and
let's your abstract away logic.


Saadat Qadri

ANALYTICS PRACTICE LEAD



Having modeled data using other tools in the past, this is much simpler and an
easier environment to code in. The code compiles in real time and lets you know
if there are errors in the syntax. It also helps generate a dependency graph for
the data pipeline which is insanely useful.



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