Hand it the schema
you inherited.
Modernizer reads the legacy schema, plans the move, writes the code, and names every column it wasn’t sure about.
One of the four named agents on Enterprise, where a data team runs them one at a time and signs off on each. On the free and Everyday plans the same engine arrives as a single assistant — you hand it a file and it gets on with it.
The migration stalls on the schema nobody documented.
The undocumented columns
Nobody left behind knows what half of them mean, and the person who did left three years ago.
The silent mistranslation
A flag column mapped to the wrong type migrates cleanly and breaks a report six months later.
The estimate
Scoping the work takes months of manual reading before a single row has actually moved anywhere.
Three steps, and you see all of them.
Nothing happens off-screen. Each step is shown before the next one starts.
9 tables, 43 columns parsed from a live Oracle schema.
34 map automatically. 9 are ambiguous and get named for your call.
→ Delta DDL, PySpark, Terraform — ready to review
Modernizer in full
Everything Modernizer does, and what each one is actually for.
Point it at the Oracle DDL you actually have. It maps every table and column, not a tidy sample.
Delta Lake DDL, PySpark transforms, and Terraform — generated from your schema, ready for review.
Columns that don’t map cleanly are named up front, so nothing is silently guessed at on your behalf.
Lands in a bronze/silver/gold layout your platform team already knows how to operate and extend.
Every mapping carries its reason, so a reviewer can check the calls rather than trusting the output wholesale.
Run order, validation checks, and what didn’t convert — written down before cutover rather than discovered during it.
Modernizer is one of four
They share one workspace, one audit trail, and one set of connections to your data.
See Modernizer run on your own data
It’s free to try on your machine — no account, no credit card.