ROI
The real cost of OutSystems data migration
Manual migration looks cheap until you're halfway in. Cost, time, and the error rate all climb faster than anyone predicts. Here's why, and what changes when you stop writing scripts.
Cost grows exponentially, not linearly
This is the pitfall almost every customer hits. The human mind isn't wired for exponential prediction, so the estimate always starts low.
Every entity you migrate carries its own relations, constraints, and dependencies. Add a few more and the work doesn't add up, it multiplies. DMM 9 flattens that curve, so cost scales with data volume instead of how tangled your model is.
Time to market
OutSystems teams are used to agile delivery and quick prototypes. So why does data migration drag on for weeks?
A single table is manageable. Then you hit foreign keys, mandatory fields, unique constraints, and circular dependencies, and one script becomes twenty. Change the schema mid-project and you start over. DMM 9 runs migrations without hand-written scripts, so a model change no longer resets the clock.
Error probability
Data migration isn't something to take lightly. A bad script run can break your entire destination environment.
Errors climb with that same exponential complexity, and they multiply again when your dev team and migration team fall out of sync on schema changes. DMM 9 drops the hand-written scripts and runs executions unattended, which leaves far less room for human error.
How DMM 9 changes the math
DMM 9 handles anonymization, data filtering, and unattended execution, so the complexity that drives cost, time, and errors mostly falls away. You run migrations, imports, and exports from a product instead of a pile of scripts.