Guide for ops, finance and IT leads
Data Migration vs Data Integration
One moves your data once. The other keeps it moving forever. Most projects need both, in the right order.
Data migration vs data integration comes down to how many times the data has to move. A migration moves it one time, from an old system to a new one, and then the old one gets switched off. An integration keeps two or more live systems in sync every day, for as long as you run them.
Book a call and we'll send a 1-page plan. No slide deck.
2–6 wks
Fixed-scope pilot before any big contract
100%
Your code and your data, from day one
10,000+
Rows of maintenance history merged in our manufacturing project
CDMX
Mexico City team on US business hours
Side by side
Migration and integration, row by row
People mix these up because both use the same tools. Same connectors, same mapping sheets, same SQL. The difference shows up in the calendar.
| Data migration | Data integration | |
|---|---|---|
| Goal | Move data to a new home | Keep systems agreeing with each other |
| How often data moves | Once (plus test runs) | Every few seconds, hours or nights |
| When the work ends | Cutover day, then the old system is retired | It doesn't. It runs as long as the systems do |
| Typical trigger | New ERP, new CRM, cloud move, merger | New sales channel, new warehouse, a report nobody trusts |
| Biggest risk | Lost, broken or duplicated records on go-live | Silent failures and stale numbers weeks later |
| How you test it | Count and reconcile every table before and after | Monitor each sync, alert on errors, spot-check daily |
| Cost shape | One big project cost | Smaller setup cost plus monthly running cost |
| Common tools | ETL scripts, vendor import tools, SQL | iPaaS, APIs, webhooks, EDI, message queues |
Picture it
What the data actually does
A migration is a moving truck. An integration is a pipe that stays connected. And if you draw both on a whiteboard (we do this in almost every first call) the difference gets obvious fast.
Clean, map, convert
Remove duplicates, fix codes, test the load 2–3 times, then cut over on a set date.
Sync layer
Pulls changes on a schedule or in real time, checks them, and logs every failure.
Worked example
A distributor moving off an old ERP
Here's a made-up but very typical case. A 40-person distributor runs a 15-year-old ERP, plus a stack of spreadsheets for pricing and a Shopify store for online orders. They're buying a new cloud ERP.
They need both jobs. Customers, products, prices and open orders get migrated once. But Shopify orders keep coming in every day, so the store has to be integrated with the new ERP and stay that way.
- 01Weeks 1–2
Inventory the data
List every source. Count records. Find the spreadsheet tab everybody is scared to touch. - 02Weeks 3–6
Clean and map
Merge duplicate customers, retire dead product codes, match old fields to new ones. - 03Weeks 7–8
Rehearse, then migrate
Two full test loads. Reconcile totals. Cut over on a weekend. - 04Week 9 on
Integrate and watch
Shopify orders sync into the new ERP every 5 minutes, with alerts when one fails.
Planning an ERP or CRM switch?
We'll map what to migrate, what to integrate and what to leave behind.
Decide
Which one do you need?
Migration
You're replacing a system
Integration
Systems have to keep talking
Both
New core system, old neighbors
Failure modes
Where each project usually breaks
- Migration, no rehearsal. The first full load happens on go-live weekend. Something always fails, and now it fails in production.
- Nobody signs off on the reconciled counts.
- Integration with no owner. It works for three months. Then a vendor renames a field, the sync stops and finance notices at month-end close.
- Treating integration like a one-time project. It needs monitoring and a person who gets the alert, the same way a server does.
38%
of companies saw their cloud migrations delayed by more than a quarter, and migrations cost 14% more than planned each year on average.
$12.9M
a year is what poor data quality costs the average organization. Migrations copy that mess unless someone cleans it first.
29%
of the 897 apps the average enterprise runs are actually integrated with each other.
Real project
Both jobs in one project, with real numbers
In our manufacturing project we did exactly this. The 10,000+ rows of old maintenance history were migrated once, cleaned and matched to each machine. The 50 sensors were integrated, so new readings keep flowing in every few seconds. Same team, same data model, two very different jobs.
25%
less unplanned downtime
$500K
maintenance savings
50
sensors unified
15
operators trained
A mid-sized manufacturer had data from 50 sensors and 10,000+ rows of maintenance history spread across sheets and systems. We pulled it into one place, trained 3 models to spot failures early, and gave the team one dashboard with alerts.
Read the full case studyWatch
Migration, conversion and integration in one video
Want more examples? IBM has a good short one on data migration examples.
Questions buyers ask
Straight answers before you book a call.
Not sure which one you need?
Send us a list of your systems and what you want to happen. We'll tell you what to migrate, what to integrate and what to leave alone.
Book a call and we'll send a 1-page plan. No slide deck.