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The bill that keeps climbing, the Genie answers no one trusts, the regulated data that can’t move, and the hard 20% that never converted - we close all four, native-first
Getting to the Lakehouse is half the job. Re-engineered-how your workloads run on Spark - model untouched, nothing retested - so runtimes and compute bills keep dropping after go-live.
The conversion engine runs as a container inside your network on standard CPUs. Zero token cost, and no data leaves your environment - built for regulated estates.
Agents are only as good as their context. We generate rule-level lineage and governed metrics that feed Unity Catalog and ground Genie - so AI runs on proven numbers.
We work alongside Databricks Lakebridge — going beyond SQL conversion: the complex legacy estate (Informatica, DataStage, Ab Initio, Teradata, Oracle) - complex ETL, stored procedures and BI. Native first, always.
Migration is one moment. Your Lakehouse has more.
Conversion gets the platform built; the value sits in what comes next - one private engine, seven agents, feeding Unity Catalog, Lakeflow, Lakebridge and Genie, not replacing them.
That engine is Switchie. Deploy one agent or the whole platform, inside your firewall - each feeds Databricks' own tooling - more native usage, not less.
Getting onto Databricks is the easy part. Making it cheaper, provable and AI-ready afterwards is where the value is. Come and see it on your own code.
Are you moving to Databricks, already on it, or looking at the bill?
Outcome-based, zero lock-in, native code you own. Every entry point is fixed-fee, time-boxed and gated on a measured result - you keep the report either way.
Meet the iOPEX and DataSwitch leadership team on the floor.