As more organizations standardize on Google Cloud and BigQuery, the problem is no longer access to data. The harder issue is using that data without creating extracts, duplicate pipelines, or governance gaps.
Alteryx’s expanded collaboration with Google Cloud is focused on that practical challenge.With Live Query for BigQuery now generally available, analytics workflows are built in Alteryx and executed directly inside BigQuery. Data stays where it is. Security, scale, and performance remain consistent with Google Cloud standards, while business teams get a simpler way to work with large datasets.
Where partners still matter
In-place analytics often raises concerns about whether platforms reduce the need for MSPs and partners. Alteryx is positioning its role as foundational, not substitutive.
“Alteryx runs on Google Cloud data platforms like BigQuery, serving as the governed analytics and business-logic layer. This simplifies data access and execution, but it does not replace partners,”
Rajkumar Irudayaraj, SVP, Global Technology and Innovation Partners at Alteryx told ChannelE2E. “MSPs and partners operate above and around the platform, owning customer-specific solution design, integration with ERP and industry systems, AI and analytics use cases delivering agentic experiences via Gemini, and the ongoing operation of analytics and AI workflows.”
In this model, Alteryx and BigQuery handle execution and governance at scale. Partners handle the work that turns analytics into something usable for a specific business.
A clearer services opportunity for MSPs
Running analytics directly on BigQuery changes the kind of services partners deliver. Less time is spent managing pipelines and extracts. More time goes into outcomes.
“This model moves MSP services up the value stack,” Irudayaraj said. “Instead of building and maintaining custom data pipelines or managing extracts, MSPs can focus on designing AI Starter Kits using Alteryx workflows, embedding business logic, operationalizing analytics and AI workflows, and managing ongoing outcomes.”
Because Alteryx runs directly on BigQuery, solutions are easier to deploy, govern, and scale. That makes it easier for MSPs to create repeatable offerings, managed analytics services, and AI-enabled solutions that are simpler to support over time.
Marketplace access, not disintermediation
Alteryx One: Google Edition will be available through the Google Cloud Marketplace, reducing procurement friction for Google-first customers. That does not change who owns delivery and long-term value.
“Google Cloud Marketplace simplifies procurement for Google-first customers, but it does not replace the partner role,” Irudayaraj said. “Partners can package Alteryx, for example as AI Starter Kits, as part of a broader solution or managed service, align purchases to existing Google Cloud commitments, and layer their own services, IP, and ongoing management on top.”
Customers can buy through the Marketplace. Partners still lead implementation, optimization, managed analytics, and AI-driven services.
Alteryx and Google Cloud are reducing friction in how analytics runs on BigQuery. Data stays in place. Governance stays intact. Business users move faster. For partners, the opportunity shifts away from plumbing and toward designing, running, and improving analytics and AI workflows that actually drive results.
