

Alteryx and Obviously AI are both prominent in the field of data analytics. Alteryx provides robust capabilities for advanced processing, while Obviously AI offers ease of use and automation, making it appealing for smaller teams.
Features: Alteryx features a drag-and-drop interface, extensive data connectors, and predictive analysis for complex tasks. Obviously AI focuses on automated machine learning models, natural language processing, and user-friendly reporting tools.
Ease of Deployment and Customer Service: Alteryx requires time for onboarding due to its complex functionalities. Obviously AI's cloud-based model simplifies setup, reducing deployment time. Alteryx offers structured support plans, whereas Obviously AI provides flexible support to expedite client queries.
Pricing and ROI: Alteryx has higher initial setup costs with substantial ROI for complex tasks. Obviously AI presents a cost-efficient model for smaller budgets, delivering quick returns with lower financial commitment.
| Product | Mindshare (%) |
|---|---|
| Alteryx One | 8.7% |
| Obviously AI | 1.2% |
| Other | 90.1% |

| Company Size | Count |
|---|---|
| Small Business | 46 |
| Midsize Enterprise | 20 |
| Large Enterprise | 73 |
Alteryx is the agentic analytics and automation company helping organizations turn complex data into trusted insights, decisions, and action. Built for the people closest to the business—analysts and operations teams—Alteryx helps organizations put data and AI to work by connecting data, applying governed business logic, and automating data-intensive processes.
At the center of this approach is Alteryx One, a platform designed to work across an organization’s existing data and technology ecosystem. It enables teams to bring together data, prepare and analyze it, and define, maintain, and update business logic into visual workflows that AI uses to automate operations and insights without coding.
Alteryx workflows close the last-mile gap between data platforms and the decisions and operations that run the business. While data platforms provide the foundation and AI creates new possibilities, the business logic needed to turn information into reliable action is often trapped in spreadsheets, processes, and the expertise of individual teams. Alteryx makes that logic visible, understandable, repeatable, and auditable (VURA)—giving AI the trusted business context it needs to deliver reliable results. This helps organizations scale trusted analytics and automation across teams without relying on specialized technical skills.
Over 8,000 customers worldwide, including more than half of the Global 2000, rely on Alteryx to improve revenue performance, manage costs, increase operational efficiency, and reduce risk. Collectively, customers run more than 380 million workflows on Alteryx each year.
Alteryx One brings together data, analytics, business logic, and AI to help organizations move from AI experimentation to trusted, enterprise-scale execution. Key capabilities include:
Alteryx One helps organizations turn AI and data investments into trusted business outcomes by connecting enterprise data, governed business logic, and AI-powered workflows.
By bringing together enterprise data, governed business logic, analytics, and AI, Alteryx helps organizations move beyond AI-generated answers to trusted, verifiable outcomes and intelligent workflows that drive real business value.
Obviously AI empowers users with no-code tools for building predictive AI models rapidly. It's designed to democratize data science, enabling non-technical professionals to derive insights without advanced expertise.
Focused on removing barriers in AI model creation, Obviously AI provides an intuitive platform that automates complex machine learning processes. Users can upload datasets, select target variables, and obtain actionable insights swiftly. It is well-suited for businesses aiming to enhance decision-making capabilities effectively.
What are the valuable features of Obviously AI?In finance, Obviously AI is implemented to improve risk assessment processes and in marketing to predict campaign outcomes. Retailers use it for demand forecasting, while healthcare sectors benefit from patient data analysis. Its flexibility enables it to cater to diverse industry-specific needs.
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