Dataform | A scalable development framework for data teams

A scalable development framework for data teams

Dataform brings tooling, best practices and software engineering inspired workflows to advanced data teams that are looking to scale, helping you deliver reliable data to the entire organization.

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Prepare data for analytics across your entire company

With Dataform, build and schedule SQL workflows that transform raw data into reliable datasets ready for analysis, directly from your BigQuery, Redshift or Snowflake warehouse.

Scale your data team through effective collaboration

Reduce duplicate work and enable code sharing. Dataform scales with your organization as the complexity of your data grows, through a version controlled approach to collaboration and integration with Git.

Ensure data is accurate and up to date

Dataform makes it easy to automate data quality testing, run schedules and set alerts when something fails. Build trusted, tested, reliable data pipelines that power analytics across the entire company, without having to manage complex infrastructure.

Make data discoverable across your organisation

Create a centralized repository for data knowledge across your entire team and quickly find data you are looking for, helping you answer data questions quickly.

What our customers say

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Benoit Machefer

Director of Data

If your business is scaling fast and you want to ensure data quality, make your life easier, leverage engineering best practices and remain BI tool agnostic then don’t hesitate to use Dataform for a second!
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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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Will Misslin

Data Engineer

After using Dataform for a while I really discovered the power of integrating an IDE with an ETL tool. The web based IDE completely eliminates the hassle of maintaining local dev environments.
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