Migrate legacy ETL
Measured. Converted. Proven.
Move off Informatica, Control-M and legacy SQL with AI agents — to an open data platform you own. Lower cost, less risk, sooner.
Lower cost
Retire legacy licences and pay only for the compute you use.
Lower risk
Know the scope first. Prove the numbers match before you switch.
Faster
AI agents do the heavy lifting, so you go live sooner.
You stay in control
Open storage in your own cloud — no new lock-in.
Your control, from day one
Even during the migration, nothing leaves your cloud and we never take control.
In your VPC from day one
DATAP.AI is deployed as containers in your own cloud before any work starts.
No access to your network
We never connect into your network, and nothing calls home.
We never store your data
Your data and code stay in your VPC — during and after the migration.
You hold the keys
Your team controls access and approves every change.
Cut timeline, risk and cost with AI-driven migration
Legacy ETL estates grew over many years. The logic is undocumented, licence costs keep rising, the people who built it have moved on — and a manual rewrite takes years.
Our AI agents read your whole estate, convert it automatically and prove the result. Your team reviews and approves instead of rewriting — and lands on an open platform that no vendor can lock.
Why it pays
Save while you run, save while you move, and never pay to move again.
Lower running costs
- No ETL licence fees — open-source dbt Core and Airflow by default
- Pay only for the compute you actually use
- All your data on low-cost cloud object storage
- Fewer tools to run, patch and support
A cheaper migration
- AI agents do the conversion work, not billable hours
- Scope and cost known before you commit
- Automated side-by-side checks replace manual testing
- Live sooner, so the old licences stop sooner
Future savings and data sovereignty
- Switch engines when prices change — no second migration
- Open Iceberg format that any engine and any vendor can read
- Your data in your own cloud account, under your own keys
- Lineage and governance stay with your data, whatever runs on it
What we migrate
From any of these, to any of these.
From
Informatica
ETL mappings and workflows
Explore →
Control-M
Job schedules and dependencies
SQL & stored procedures
Hand-written scripts and procedures
Legacy warehouses
Oracle, SQL Server, Teradata and more
Hadoop / Hive
On-premise big-data jobs
To
Snowflake
On open Iceberg tables
Databricks
On open Iceberg tables
Microsoft Fabric
Azure-native
AWS
Athena and Redshift
Azure
In your own tenant
Google Cloud
BigQuery
How it works
Assess
Every job gets a verdict and a reason — before you commit.
Convert
Transformations to dbt Core, schedules to Airflow, automatically.
Resolve
AI agents fix the unusual cases; your experts approve.
Prove & switch
Old and new run side by side until the numbers match.
A better way to migrate
| The usual way | DATAP.AI | |
|---|---|---|
| Before you commit | A headline promise | Your own estate, measured, before you sign |
| How the work is done | AI rewrites everything | Rules first, AI for the hard parts, your team approves |
| Proof it works | A report at the end | Old and new compared until they match |
| Schedules | Left for a later project | Moved to Airflow in the same project |
| Where you land | One vendor's platform | Open storage — change engines any time |
| After go-live | The project ends | Governance keeps running on your data |
How we engage
Free assessment
DATAP.AI is deployed in your VPC and assesses one export there. You get every job's verdict and a plan.
Pilot
One folder moved and running on your platform, with the numbers compared.
Full migration
The rest of the estate, wave by wave, approved by your team.
Governed platform
Lineage, quality and AI governance on the new platform from day one.
What teams ask first
Q. Do you need access to our systems?
No. DATAP.AI is deployed as containers inside your VPC from day one. We never access your network and never store your data.
Q. Do you keep access to our environment?
No. Once the migration is done we have no connection to your deployment and no control over it — your deployment, the generated code and the data are 100% yours.
Q. What if something can't be converted automatically?
It is flagged with the reason. Our AI agents propose a fix and your team approves it.
Q. Do we need to pay for dbt Cloud?
No. dbt Labs is the company behind dbt. By default we use dbt Core, its free open-source tool, with Apache Airflow — both running in your own cloud. If you prefer dbt Cloud, its paid hosted service, the same project moves there as-is.
Q. Who does the work?
Our AI agents do the conversion inside your VPC, with our engineers advising — or your preferred partner. Your team runs it and signs off each wave.
Start with one export
A free assessment of one folder, run inside your VPC — every job's verdict and a migration plan.