Your engineers know Alteryx Designer is the problem.

Your engineers know Alteryx is holding them back. They're right. Every workflow pulls data out of your warehouse, processes it elsewhere, and pushes it back. This doubles compute cost while breaking lineage and control.

Maia migrates Alteryx Designer and Server pipelines to the cloud automatically - production-ready, documented, and done. No GSI. No multi-year rewrite project.
See exactly how fast Maia can move your legacy pipelines.
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Alteryx was built for the analytics era. Your data stack has moved on.

Your AWS, Snowflake, or Databricks environment is already running. The problem isn't your destination, it's the Alteryx licences still billing you for infrastructure your stack left behind. Every renewal cycle, you're paying more for a platform that delivers less of what your team actually needs.

Maia's Migration Agent converts your Alteryx Designer and Server workflows to production-ready, AI-native pipelines automatically. No rewrite project. No consultant. No six-month program that stalls at the first schema change.

Engineers review and ship. Every pipeline Maia generates includes auto-captured lineage, built-in validation, and proactive schema drift detection with suggested remediations, so your team isn't firefighting when something changes upstream. They're building what's actually on the roadmap.

The Alteryx migration you've been postponing isn't getting easier. You’ve delayed for good reasons: these pipelines are complex, often lack documentation, and contain critical business logic. But every quarter you wait compounds the risk, cost, and delay to AI.Every quarter you delay, the pipelines get more complex, the licence spend accumulates, and your AI initiatives wait. Maia makes the move something your team can actually do this quarter - without manually rewriting pipelines or risking what’s already in production.

PowerCenter was the right answer in 2005.

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See the difference for yourself.

One platform is built for where your data stack is going. The other isn't.
Features
Current State
Automated pipeline migration to the cloud
AI-native and cloud-native: no on-prem dependency
Auto-documented lineage for audit & compliance
Schema drift detection & governed remediation
Migrate without a GSI program

The case for replacing Alteryx is already made.

Maia customers running Alteryx migrations have reclaimed thousands of engineering hours, no GSI, no rewrite.
22,000+
hours saved
90%
manual work deduction
$100K-$250K
average customer savings
100X
data engineer throughput

Why data teams choose Maia

Automated Alteryx migration

Designer and Server workflows converted to AI-native pipelines without a rewrite project or a GSI engagement timeline.

Production-ready from day one

Code your engineers' own, review, and extend, not prototype scaffolding they need to rebuild before anything ships.

Schema drift, handled automatically

Detection, auto-remediation, and a documented change log built in, nobody gets paged because something shifted upstream.

No GSI required

What your system integrator quoted at six figures and 18 months, Maia does autonomously, at a fraction of the cost and time.

Run the numbers
before your renew

Enjoy the freedom to do more with Maia on your side.

Three freedoms Alteryx never gave your data team (that Maia can).

Freedom to migrate without the risk
Automated Alteryx migration doesn't introduce uncertainty; it eliminates it. Maia's deterministic engine produces the same production-ready output every time. Your regulated environment stays stable. No contingency plan required.
Freedom from licence duplication
Stop paying twice for the same job. Every month your Alteryx licence runs alongside Snowflake or Databricks is a month of cost duplication that your CFO is watching. Maia closes that gap and replaces your Alteryx spend with a platform that actually accelerates delivery.
Freedom to build what's next
When your Alteryx backlog is cleared, your engineers stop firefighting and start building. Every AI initiative on your roadmap needs a data pipeline. Maia creates the bandwidth to build them, at 100× the throughput of a manually maintained ETL estate.
“Maia offers a glimpse into the future of data engineering.”
“It’s intuitive, powerful, and feels like a real accelerant for how teams build with data. I’m excited about what this will unlock.”
Sridhar Ramaswamy
CEO at Snowflake