Enterprises have spent the last two years pouring budget into copilots, agents, and generative tools. But the harder problem was never the model. It was the data feeding it, and whether anyone could explain where an answer came from once it landed on someone’s desk.
Snowflake customers are asking that question constantly right now, which is why we’re glad to share that Alteryx One is available on Snowflake Marketplace as a Connected App. Now Snowflake customers can leverage the Alteryx One Platform to access, analyze, and curate AI-ready data, all within their Snowflake environment.
What’s included
The listing includes the full Alteryx One platform, not a single feature carved out for Marketplace. Everything below runs against the same governed Snowflake data, so there’s no separate copy to maintain and no separate conversation with IT about whether it’s safe.
Analysts who don’t want to wait on a data engineering queue to access Snowflake get Alteryx Designer, the drag-and-drop tool for blending, cleaning, and analyzing data without code. Intelligence Suite extends that same approach into machine learning, computer vision, and text mining, so advanced analytics doesn’t sit behind a data science team’s backlog.
For teams working with Snowflake data specifically, Alteryx Live Query is a browser-based experience built for querying that data in place. Workspace Execution goes a step further and lets anyone building in Designer Desktop run the workflow in the cloud, without a local machine standing between the work and the result.
There’s also a set of capabilities built specifically for AI work:
- Auto Insights: Uses machine learning to surface visualizations automatically.
- Ask Alteryx: A generative assistant built into the platform for natural language interaction.
- AI Tools: Brings large language models directly into Alteryx workflows.
- Agent Studio: Enables teams to build AI agents grounded in governed, Alteryx-managed data rather than starting from nothing.
Additionally, Alteryx MCP Agents can integrate with Cortex CoWork, providing governed data, insights, and workflows to help build truly valuable agentic AI applications.
Customers with a Snowflake Capacity commitment may also be able to apply eligible spend toward Alteryx One through Snowflake Marketplace, depending on region and eligibility. Check with your account team for specifics.
Why this matters in the age of AI
Every enterprise buying AI tooling right now is asking some version of the same question: Can I trust what this produces? Alteryx was working on this problem before “agentic AI” became a category, which is why Alteryx built VURA—Visible, Understandable, Repeatable and Auditable—as the foundation for what trustworthy AI actually requires.
- Visible: An AI system shouldn’t be a black box. A user should be able to say where an answer came from and how it was derived. With Alteryx sitting between Snowflake data and the people or agents using it, that visibility is part of the workflow rather than something added afterward.
- Understandable: The logic behind an output has to make sense to the business user relying on it, not just the engineer who wrote it. Alteryx’s visual workflow model exists so that logic isn’t buried in a prompt or a script only one person can read.
- Repeatable: The same data and the same logic should produce the same answer every time, for every user. That consistency needs to live somewhere documented rather than in one analyst’s head.
- Auditable: When a number looks wrong, someone needs to trace who owns the workflow, what data and logic produced it, and where a person made a judgment call along the way. Without that trail, “the AI said so” isn’t an answer a business can stand behind.
Snowflake gives enterprises a governed perimeter for their data and AI workloads. Alteryx gives them a governed logic layer for what happens inside that perimeter, controlled by the business teams that own the outcomes and verifiable by the IT teams that own the risk. Listing Alteryx as a Connected App means customers no longer have to stitch that pairing together themselves.
It’s also what positions Alteryx well as customers adopt Snowflake Cortex, including Snowflake CoCo and Snowflake CoWork. Those agents are only as reliable as the logic and context they draw on, and Alteryx workflows are already built to be that foundation: human-verified, versioned and auditable from the day they’re built.
Customers don’t have to stand up a separate trust framework every time a new Cortex capability ships. They also don’t have to rebuild that framework every time the business changes or absorb a new round of change management with each rollout. Alteryx workflow outputs can power Cortex directly, so CoCo and CoWork reason over logic the business has already verified instead of logic it has to take on faith.
Built for how Snowflake customers already work
Alteryx One meets customers where their data already lives, and for a growing number of them, that’s Snowflake. Live Query lets analysts work with Snowflake data in place instead of extracting or replicating it just to get value from it. Workspace Execution extends that same idea to compute, letting workflows built in Designer Desktop run in the cloud without local machines or added infrastructure.
Take a finance or FP&A team trying to close the books faster or model a forecast against live Snowflake data. The old path usually ran through a request to data engineering, an extract, a wait and a spreadsheet that was already stale by the time it arrived.
With Alteryx One connected directly to Snowflake, that same analyst works in Live Query against governed data in place and hands off something the rest of the team can rerun the same way next quarter—with no shadow copy sitting in a downloads folder and no scramble to explain where a number came from when someone asks.
Alteryx has closed that gap for finance, operations and other business teams for years by giving nonengineers a way to reach governed data directly instead of routing every question through a technical team that’s already stretched thin. The Marketplace listing doesn’t change that. It just shortens the distance between deciding to try Alteryx and actually using it.
A few common questions
Does this replace how customers already connect Alteryx to Snowflake?
No. Existing Snowflake connections, In-Database processing and Snowpark integrations keep working as they do today. The Marketplace listing is a new way to discover and provision Alteryx One, not a replacement for anything customers have already built.
Does data leave Snowflake to use Alteryx One?
The Connected App model exists specifically so it doesn’t have to. Alteryx One’s logic runs against data inside the customer’s Snowflake account rather than requiring a full extract, and Live Query was built for working with that data in place.
Is this for IT or for business users?
Both. Business teams get a no-code way to work directly with governed data, and IT gets a single auditable layer between that data and the people using it, along with a procurement path that runs through infrastructure they already trust.
What if we’re already an Alteryx customer?
This listing is mainly a new front door for Snowflake customers evaluating Alteryx for the first time or existing customers looking to consolidate spend through a Snowflake Capacity commitment.
Primeiros passos
Snowflake customers can find the Alteryx One listing on Snowflake Marketplace today.