AI Proof Pricing Book a demo

Hard sources — not covered by free tools

Also parsed — certify what free tools miss

Targets

Warehouses

Runtimes

After migration

Alteryx

Cut per-seat Alteryx cost. Keep every workflow.

Move Designer workflows, macros, and analytic apps to Databricks, PySpark, Snowflake, or dbt, and prove each output still matches before anyone gives up a license.

Where the workflows go

Pick the platform your data team already runs.

Done before. One of Canada's largest banks moved its Alteryx workflows and SAS programs to Databricks with MigryX. We can arrange a reference call after a demo.

How it works

Parse

Workflow files are read tool by tool, including macros and analytic apps, so the logic is captured rather than guessed.

Convert

Each workflow becomes readable code for your target, with MigryX AI handling the steps parsers cannot resolve alone.

Prove

Outputs are compared to the Alteryx originals row by row, and the exception report is yours to keep.

Who we have worked with

28 customers. 23 migrations.

A customer is an enterprise. A migration is one source-to-target program. 18 + 7 + 3 = 28 customers, across North America, Europe, Asia, and Oceania. 23 of them have a migration on the case-studies page. The other 5 are shared only under NDA. We do not publish names. A reference call can be arranged in a demo.

What they moved off

  • SAS
  • DataStage
  • Alteryx
  • Talend
  • Oracle ODI
  • Mainframe COBOL

Where it runs now

  • Databricks
  • PySpark
  • Snowflake
  • dbt
  • Google Cloud
  • Python
  • Informatica

16 of the 23 migrations run on Spark. Databricks is listed first.

18

Banking, insurance, and financial services

  • 6Global systemically important banks, in North America and Europe. These 6 are inside the 18, not additional.
  • 3Of the largest banks in Australia and New Zealand
  • 2Of Canada's largest banks
  • 1Leading Nordic bank
  • 1Leading Southeast Asian bank
  • 1Major Middle Eastern bank
  • 1UK high-street bank
  • 1US regional bank
  • 1US property-and-casualty insurer
  • 1US housing-finance institution

6 + 3 + 2 + 1 + 1 + 1 + 1 + 1 + 1 + 1 = 18

7

Healthcare, life sciences, and public sector

  • 2Global biopharmaceutical companies
  • 1Fortune 500 healthcare company
  • 1Life-sciences advisory firm
  • 1US federal agency
  • 1UK public healthcare body
  • 1US public research university

2 + 1 + 1 + 1 + 1 + 1 = 7

3

Other enterprises

  • 1FTSE 100 retailer
  • 1FTSE 100 energy company
  • 1Global marketing-data company

1 + 1 + 1 = 3. Then 18 + 7 + 3 = 28 customers.

Want to hear it from a customer? Ask in your demo and we will arrange a reference call with a team that ran a similar migration.

Ask for a reference call

Start with one workflow

Send a .yxmd file and get a coverage report and a converted sample back.