Run the numbers
before your renew
Enjoy the freedom to do more with Maia on your side.
Still running legacy ETL?
That's the most expensive decision your data team isn't making.
Your cloud data platform is live. Your roadmap is full. But underneath it, legacy on-prem pipelines are eating engineering capacity that should be going somewhere else, and a renewal is coming whether you're ready or not.
Maia autonomously migrates even the most complex legacy ETL pipelines, so they're documented and production-ready before you make that call. No multi-year consultancy engagement needed.
Your cloud data platform is live. Your roadmap is full. But underneath it, legacy on-prem pipelines are eating engineering capacity that should be going somewhere else, and a renewal is coming whether you're ready or not.
Maia autonomously migrates even the most complex legacy ETL pipelines, so they're documented and production-ready before you make that call. No multi-year consultancy engagement needed.
Watch Maia autonomously migrate complex, legacy pipelines.
Fill out the form below to book your Maia demo
Trusted by the world’s most ambitious data teams
Wherever you are with Informatica.
Still on PowerCenter
The migration has been on the roadmap for 18 months.Your engineers spend 60–70% of their week fixing broken pipelines and responding to incidents, not on building the net-new data products the business is demanding. The infrastructure and maintenance cost alone justify a migration, but doing it manually means dropping everything else for a year.The cost of staying is compounding every quarter.
Book a demo
You moved off PowerCenter
But the Informatica contract moved with you.
IDMC was sold as the modernization step. In practice, it moved your workloads off-premises and onto Informatica's consumption model. Your engineers are still building inside CLAIRE, pipelines are still in Informatica's proprietary format, and your IPU bill grows every time your data team gets more productive.
Snowflake, Databricks, dbt, the gap between what those platforms can do natively and what IDMC delivers is widening.You moved. You just didn't move far enough.
IDMC was sold as the modernization step. In practice, it moved your workloads off-premises and onto Informatica's consumption model. Your engineers are still building inside CLAIRE, pipelines are still in Informatica's proprietary format, and your IPU bill grows every time your data team gets more productive.
Snowflake, Databricks, dbt, the gap between what those platforms can do natively and what IDMC delivers is widening.You moved. You just didn't move far enough.
Book a demo
Legacy ETL was the right answer. For a different era.
On-prem data integration tooling was built for a world before cloud data platforms existed. Now, the gap between what your legacy ETL does and what your data team needs to deliver is widening every quarter, and the maintenance burden that comes with it is landing squarely on the people who should be building.
Autonomous migration to AI Data Automation - not another ETL platform
Maia breaks the cycle. AI agents migrate your legacy on-prem ETL pipelines to production-ready, AI-native pipelines on Snowflake or Databricks, automatically.
Engineers review, approve, and ship. They don't rewrite. They don't spend another quarter in incident response for a system that should have been replaced years ago.
When the next renewal conversation comes up, you'll know what the alternative looks like, because you've already moved.
Engineers review, approve, and ship. They don't rewrite. They don't spend another quarter in incident response for a system that should have been replaced years ago.
When the next renewal conversation comes up, you'll know what the alternative looks like, because you've already moved.
See the difference for yourself.
One platform is built for where your data stack is going. The other isn't.
Features
Current State
Stop paying legacy ETL licence fees
Skip the consultancy engagement and six-figure contract
Complete migration in weeks, not 18 months
Migration output that's production-ready from day one
Engineers spending time building, not maintaining
Lineage, tests, and documentation auto-generated
AI initiatives unblocked from the delivery backlog
Business logic no longer held hostage in legacy pipelines
The business case for AI Data Automation is clear.
Maia customers running PowerCenter migrations have eliminated the licence duplication, the maintenance overhead, and the forced dependency, without the six-figure GSI engagement that made the conversation impossible before.
22,000+
hours saved
90%
manual work deduction
$100K-$250K
average customer savings
100X
data engineer throughput
Run the numbers
Our latest customer stories
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“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
