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.
See how Dataform enables your team to collaborate together and make sure data is discoverable across the organization.
See how Dataform's open source framework enables you to save costs and reduce latency across 1000's of datasets.
Dataform enables analysts to manage all data processes in BigQuery, turning raw data into the clean datasets you need for analytics.
A software engineering inspired approach to data modeling, pipelines, and data quality management.
Develop your data workflows in SQL with Dataform's built-in templating syntax and APIs.
Dataform deploys your SQL definitions to BigQuery, creates tables and views, and runs tests.
Finish with trusted, documented, and well-tested datasets ready to be consumed by other teams, or visualized in dashboards.
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!
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.
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.