Overview
Product Information on Alteryx One Platform
What is Alteryx One Platform?
Alteryx One Platform Pricing
Overall experience with Alteryx One Platform
“No-Code Analytics Platform Delivers Automation, Faces Cost and Performance Challenges”
“Alteryx’s Shift in Product Line Creates Challenges for Clients and Resellers”
About Company
Company Description
Alteryx, Inc. is a software company that provides self-service data analytics software. The company was founded in 1997 and is headquartered in Irvine, California, and has more than 8,000 customers worldwide. Alteryx provides a platform that enables analysts to easily prepare, blend, and analyze data by creating repeatable workflows using a visual "drag and drop" interface. The platform also allows for the deployment and sharing of analytics at scale for obtaining deeper insights in hours, not weeks. Alteryx’s products are used for data science and analytics in a very broad range of use cases and industries. The company’s mission is to empower every person to transform data into actionable insights. Alteryx software is offered through on-premises, hybrid cloud, private cloud and public cloud deployments. Its flagship products are Alteryx Designer, Alteryx Server, Alteryx Intelligence Suite, Alteryx Designer Cloud, Alteryx Machine Learning, and Alteryx Auto Insights.
Company Details
Do You Manage Peer Insights at Alteryx?
Access Vendor Portal to update and manage your profile.
Key Insights
A Snapshot of What Matters - Based on Validated User Reviews
Top Alteryx One Platform Alternatives
Peer Discussions
Alteryx One Platform Reviews and Ratings
- Senior Analyst50M-1B USDRetailReview Source
No-Code Analytics Platform Delivers Automation, Faces Cost and Performance Challenges
We have had a largely positive experience with Alteryx One Platform. It has significantly improved our ability to automate repetitive data workflows and reduced dependency on heavy coding for day to day analytics tasks. The platform is especially useful for quick data preparation and building repeatable pipelines. That said there are some limitations around performance with large datasets and the overall cost can feel high compared to alternatives. While it's great for analysts, scaling it across teams requires careful planning.



