Alteryx, Inc., a leading AI and data analytics company, today announced Alteryx One, a unified suite of AI-powered analytics capabilities that give customers greater flexibility to automate and scale analytics across their data ecosystems. The release also introduces new features that simplify access to trusted, governed, and AI-ready enterprise data.
A Unified Platform for AI-Powered Analytics
Traditional analytics solutions often force trade-offs between flexibility, governance, and innovation. Alteryx One eliminates these barriers by unifying powerful analytics automation, low-code, no-code data prep and blend, AI assistance, cloud flexibility, and enterprise governance, into a seamless, centrally managed platform.
The introduction of a centralized portal allows customers to seamlessly manage their entire Alteryx portfolio, regardless of deployment model. Alteryx’s new AI Control Center offers unified orchestration, combining licensing management with built-in security, governance, and visibility into all AI interactions, including large language models (LLMs). This centralized control helps ensure consistent access and usage policies across the platform.
“This launch marks a major step forward in making analytics accessible, collaborative, and intelligent,” said Ben Canning, Chief Product Officer at Alteryx. “The future of AI-powered analytics is about choice and connection. Alteryx One empowers organizations with the flexibility to access analytics in any way they need and to help ensure their data is AI-ready. This release is built to help organizations scale insights, automate intelligently, and stay ahead of AI, on their own terms.”
Karl Crowther, Vice President – MEA & APAC, Alteryx: “As governments across the Middle East double down on national AI strategies and digital transformation initiatives, platforms like Alteryx One are becoming vital to turning ambition into action. The UAE’s AI Strategy 2031 and Saudi Arabia’s $100 billion AI and data investment reflect a clear regional mandate to empower people and systems with smarter, faster, and more scalable tools. With Alteryx One, we’re enabling public and private organizations to align with this vision, bridging data silos and unlocking AI-powered insights across the enterprise with confidence and control.”
With new tiered packaging and a unified licensing portal, Alteryx One provides organizations with centralized control over user access, permissions, and license management, enabling secure, scalable analytics across the enterprise.
Direct Access to Data Platforms
As enterprise data increasingly moves to the cloud, organizations need faster, more secure ways to work directly with their cloud data without costly data movement or unnecessary replication. Alteryx One delivers this by making data platforms an extension of the analytics environment with expanded connectivity and deeper integrations, such as Pre-/Post-SQL support for In-DB tools, enabling more advanced data processing.
Additionally, real-time data access via Live Query for Databricks, the Data and AI company, and Snowflake, the AI Data Cloud company, turns Alteryx into a direct window into the data platforms. Customers can now work with massive datasets in real time, accelerating data preparation while maintaining security and performance.
Alteryx One also introduces shared connectors and plans, enabling IT teams to establish secure, reusable connections to cloud data sources. To support broader enterprise needs, Alteryx One expands connectivity with new and updated connectors for platforms like Azure Synapse, Qlik, and Starburst, along with enhancements to improve cloud pushdown processing. Together, these enhancements simplify cloud adoption for analytics teams and deliver faster access, lower costs, and stronger governance without compromising flexibility or control.

Delivering Trusted, AI-Ready Data
Customers like Siemens Energy are leveraging Alteryx to extract, prepare, and blend data — fostering data democratization, and a digital mindset. This transformation includes the successful adoption of AI and LLMs, for example, to unlock valuable insights from previously hard-to-access and non-digitized data. By integrating Alteryx with a data platform and LLMs, Siemens Energy has developed an AI-powered chatbot that enables users to query extensive document repositories.

A recent Alteryx survey found that data integration continues to be a significant challenge for data analysts. Nearly half (46%) of analysts report that data quality issues are their biggest obstacle when preparing data. This challenge is amplified as more organizations move their data to the cloud, increasing the demand for faster and more seamless access to data in cloud data platforms. In today’s AI-driven business environment, these difficulties inhibit organizations’ ability to efficiently prepare data for analytics and AI applications.
As organizations seek to balance the benefits of AI initiatives and the challenge of AI governance for broad usage analytics, Alteryx One delivers scaled access to data and AI across the business for all knowledge workers in one unified platform. New capabilities include a suite of powerful AI-driven features designed to streamline analytics and decision-making. Magic Reports leverages AI to automatically create customized, dynamic reports, significantly reducing manual effort and enabling faster, more insightful reporting. Alteryx Copilot, currently in public preview, is an interactive assistant that transforms user questions into actionable workflows in real time, going beyond traditional chatbots to offer intelligent guidance and tool recommendations. Meanwhile, the GenAI Tools, in private preview, integrate generative AI directly into workflows to automate complex tasks and unlock new ways to generate insights and orchestrate logic. With support for leading LLMs like OpenAI, Anthropic, and Gemini, these tools empower users to move past routine automation and embrace the full potential of AI. Together, these innovations make it easier for organizations to scale AI initiatives, enhance productivity, and drive smarter business outcomes across the enterprise.