Source: Alteryx
Alteryx has introduced a unified platform, named Alteryx One, that combines the company’s AI-powered analytics and data preparation capabilities into a single centralized portal. The company claims that the new platform makes it easier to prepare data for AI and analytics, offering its customers “greater flexibility to automate and scale analytics across their data ecosystems”.
The launch comes at a time when enterprises are facing increasing pressure to operationalize AI while managing data across fragmented environments. There are two converging pressures on enterprises. On one side, the rapid growth of large language models (LLMs) is driving urgency to harness AI’s potential. On the other, businesses are struggling with data spread across legacy systems, departmental tools, and cloud platforms.
This is why companies like Alteryx are responding with unified platforms. A core feature of Alteryx One is that it brings the company’s existing capabilities into a centralized environment. This also includes unified licensing and permissions. The company has continued with its focus on no-code and low-code workflows, making the platform appealing to non-technical users.
The platform also introduced some new tools for data governance, orchestration, and licensing. One of the most significant additions is Live Query for Databricks and Snowflake, which enables real-time access to large datasets without requiring duplication or movement. Alteryx claims that this helps reduce latency and improves performance for businesses relying on cloud platforms.
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Another notable upgrade to the platform is the expanded Pre-/Post-SQL support for In-DB tools. This allows for enhanced in-database processing for more complex data prep and transformation tasks, according to Alteryx. This could be particularly useful for enterprises handling massive volumes of data that require advanced manipulation before analysis.
Managing cloud data connections has long been a headache for enterprises. Repeated setup disrupts workflows, leading to delays and inefficiencies. Inconsistent configurations create access issues that complicate collaboration. Security risks also arise when credentials aren’t properly managed. Without a centralized system, these problems escalate, leaving businesses vulnerable to inefficiencies.
Alteryx aims to solve some of these issues by offering its new shared connectors that eliminate the need for manual configuration and address issues with data access delays. Additionally, the Expanded Connector Library brings new and updated connectors for platforms like Azure Synapse, Qlik, and Starburst, making it easier for enterprises to integrate their existing systems.
Alteryx is hosting its Inspire 2025 event in Las Vegas this week, and the new platform is likely to take center stage. It is an opportunity for Alteryx to position itself as a key player in enterprise AI and analytics.
Headquartered in Irvine, CA, Alteryx initially focused on making data preparation and analytics more accessible to business users. Over the years, it has evolved beyond self-service tools, expanding into automation and machine learning. Now, with the launch of Alteryx One, it is shifting toward a more comprehensive approach, aiming to unify AI-driven analytics and data orchestration at an enterprise scale.
Commenting on the introduction of Alteryx One, Ben Canning, Chief Product Officer at Alteryx, shared, “This launch marks a major step forward in making analytics accessible, collaborative, and intelligent. The future of AI-powered analytics is about choice and connection.”
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“Alteryx One empowers organizations with the flexibility to access analytics in any way they need and to help ensure their data is AI-ready,” continued Canning. “This release is built to help organizations scale insights, automate intelligently, and stay ahead of AI, on their own terms.”
The updated platform also features new AI-powered capabilities, including Magic Reports, which allows users to automatically generate reports for trend analysis, performance summaries, comparative dashboards, and other insights derived from data.
The Alteryx Copilot, now available in public preview, is also part of the upgraded platform. This AI assistant offers intelligent real-time support, smart tool recommendations, and automated workflow generation.
Lastly, Alteryx One features GenAI tools designed to integrate AI into workflows to automate complex tasks and orchestrate logic in new ways. It integrates with popular LLMs, such as Gemini and ChatGPT. This feature is available in private preview only.
“With Alteryx and our citizen development approach, we are increasing our digital capabilities and providing vital data access to people who didn’t have it before — at scale, rapidly, sustainably, and with real operational impact across multiple use cases,” said Tim Kessler, Head of Data, Models & Analytics at Siemens Energy.
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Alteryx One’s introduction comes shortly after major leadership changes at the company. Mark MacMillan was appointed CEO in December, filling a role that had been open since January. Several other key executives have also joined recently, including Nali Giliana as chief strategy officer, Jon Pexton as chief financial officer, Steven Birdsall as chief revenue officer, and Ben Canning as chief product officer.
In March 2024, private equity firms Clearlake Capital Group and Insight Partners acquired Alteryx in a $4.4 billion deal, transitioning the company from public to private ownership. The acquisition was intended to give Alteryx more strategic flexibility and long-term backing to fuel advancements in AI-driven analytics and to reinforce its standing in the competitive enterprise data space. Now, with the launch of Alteryx One, the company is making its biggest push yet to unify AI-powered analytics and data orchestration for enterprises.
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