Jamie B. Solving with Alteryx since 2017

Alteryx Designer Cloud

Need a cloud data prep solution?

Designer Cloud reduces the time, technical skills, and costs required to build and automate data pipelines in the cloud.

Now Anyone Can Prepare Cloud Data


Useable by anyone regardless of technical skill level.

Enterprise Grade

Unlimited scalability, built-in governance, best-in-class security, and available on multiple clouds.

Faster Insights

Reduce time to value with an intuitive and collaborative data preparation solution.


Intuitive Drag-And-Drop UI

The leading solution for data prep, blending and analytics, Designer Cloud leverages award-winning drag-and-drop capabilities to speed up the analytic process with AI/ML-based suggestions that guide users through their data transformations.


Interactive Real-Time Results Grid

See and iterate on changes to your data as you build your workflows. Easily determine the accuracy and quality of any dataset using the data quality bar and visual data profiling.


Smart Sampling & Pushdown Processing

Experience responsive data transformations that can scale to any size. Smart data samples allow you to build workflows without pulling an entire dataset. Pushdown processing allows you to leverage the limitless scalability of your cloud data warehouse to get to insights faster.


Support Any Architecture

Fit for the most demanding use cases with enterprise-grade governance, scale, and security. Deploy in the cloud environment of your choice with support for AWS, GCP, Snowflake, and more. Connect and transform your data wherever it lives with built-in data connectivity to 60+ sources.


Adopting Designer Cloud has helped us cut our delivery times by 50 percent, even while the company was scaling.

Genomics England

Thomas Oscroft, Head of Data Operations

Genomics England

Alteryx's solution enables us to alleviate bottlenecks in our cloud data pipelines.


Nir Kushnir, Chief Revenue Officer


View Story

Designer Cloud brought a new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements.


Ben Sokol, Data Integration Analyst


View Story

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