Here’s the number before the sales deck: data migration costs $5,000 for a small, clean move up to $250,000 or more for an enterprise migration, and a large-scale cloud migration runs $40,000 for a startup to $600,000-plus for an enterprise with mission-critical workloads. The thing that decides where you land isn’t how many terabytes you have. It’s the assessment, the schema, and the parallel run. If you want a scoped number for your specific move, reach out.
Most migration quotes lowball the same way: they price moving the bytes and skip the engineering judgment that keeps the bytes correct on the other side. This post prices the whole thing, including the lines that show up in month two.
We’re gmware, a software development firm headquartered in Austin, TX, with engineering centers in Bangalore and Mohali, India. We run production data systems ourselves, so the guardrails section here isn’t theory. Below: the cost by size, automated versus manual, the hidden lines, and the honest call on when to do it in-house.
2026 data migration cost at a glance
What does data migration cost by project size?
Match your move to the tier and you get a defensible starting number. The ranges below come from 2026 market data, and the wide spreads are the point: the same terabyte count can cost twice as much depending on how tangled the schema is.
| Move type | What it covers | Cost | Best for |
|---|---|---|---|
| Small database move | One database, clean schema, downtime tolerated | $5,000 to $40,000 | Single-system lifts, team knows the data |
| Mid-size migration | Multiple systems, some transformation, tighter downtime | $40,000 to $200,000 | Growing companies moving to the cloud |
| Enterprise migration | Complex schema, procedural code, zero-downtime cutover | $250,000+ | Mission-critical workloads, regulated data |
Read the tiers by what breaks if you get it wrong. A small move that fails costs you a weekend. An enterprise move that fails during cutover costs you records and revenue, which is why the assessment gets more expensive as the stakes climb, not the byte-moving.
Why the assessment is the line that pays for itself
Here’s the counterintuitive part. Data migration cost is determined less by data volume than by the decisions made before a single record moves: the quality of the assessment, the depth of the tooling, and the discipline of the scope. A six-week assessment at $150 to $200 an hour of senior DBA time has a real price, and it’s the cheapest insurance in the whole project.
Skip it, and you find out about the surprises live. The column that stores dates in three different formats. The procedural code buried in stored procedures that nobody documented. The “reference table” that’s actually load-bearing. The first time we ran one of these, we under-scoped the discovery too, and the schema surprises ate the schedule. Now it’s the first thing we audit, because a migration built on a wrong map doesn’t fail loudly. It moves the data, quietly corrupts a slice of it, and you find out when a customer does. Want a real read on how tangled your schema actually is before you commit a budget? Reach out.
Automated or manual migration: which is cheaper?
Automated wins on the byte-moving, and it isn’t close. Automated migrations average $40,000 to $200,000; manual ones $150,000 to $600,000-plus. A managed tool like AWS Database Migration Service charges for the replication instance plus storage, with CPU credits at $0.075 per vCPU-hour on the smaller instances, which is pocket change against a person doing the same work by hand.
Automated vs manual migration cost
But don’t read that as “buy the tool and you’re done.” Automation moves records; it doesn’t decide which records, reconcile a mismatched schema, or design the parallel run. The judgment is where the money goes, and that’s the same judgment whether you automate or not. A vendor who quotes you a low number by assuming a clean automated path, then bills change orders when the schema fights back, has sold you the manual price with extra steps.
The hidden lines that inflate the quote
Four costs show up when we audit other people’s migration budgets, and they’re rarely on the original quote.
- Parallel running. During cutover you run the old and new systems side by side to prove they agree. That means paying for two environments at once, often for one to four weeks. Cut it to save money and you cut your safety net.
- Downtime. For a large enterprise, unplanned migration downtime can exceed $9,000 per minute. A four-hour outage at a financial-services firm can pass $2 million in direct costs. The whole reason zero-downtime migration costs more is that downtime is the most expensive line there is.
- Egress and transfer. Cloud providers charge to move data out. It’s usually smaller than people fear, but it’s real, and it belongs in the budget, not the surprise column.
- Schema cleanup. The messiest data problems don’t get billed as migration; they get billed as “why is the project three weeks over.” Clean data migrates cheaply. Dirty data doesn’t migrate at all until someone cleans it.
None of these is exotic. They’re just absent from demos, which is exactly why you price them before you sign. If your move ends in a warehouse rather than a straight database swap, the cost structure shifts again, and we broke that out in what data-engineering and warehouse consulting costs.
When to defer or do it yourself
Not every migration needs a firm. Do it in-house when:
- It’s one database, the schema is clean, and your team knows the data cold.
- Downtime is something you can absorb on a Saturday night.
- There’s no procedural code or business logic hiding in the database layer.
Hire out when the schema is complex, procedural logic is involved, downtime costs real money, or you need a zero-downtime cutover. Here’s the dividing line we use: if a failed migration means lost records or an outage that costs money, the assessment alone is worth paying for, even if you run the actual move yourself afterward. Some of our best migration engagements have been assessment-only, where we hand a client a map and they drive.
And sometimes the honest answer is “not yet.” If you’re mid-reorg or your source system is about to change anyway, migrating twice is worse than waiting once. We’ll say so. For the broader move-to-cloud picture beyond the data layer, our cloud migration services cover the application and infrastructure side too, and we wrote up the small-business version in cloud migration cost for small business.
How gmware scopes a data migration
We start with the assessment, because it’s the line that decides every other line. A senior engineer maps your schema, finds the procedural logic, sizes the parallel run, and tells you whether this is a clean automated lift or a knuckle-scraping manual one. Sometimes that map ends with us recommending you run the move yourself. More often it ends with a scoped number you can actually trust, because it’s built on what your data actually is, not what a template assumed.
Delivery runs through our data-engineering and warehouse consulting practice: senior engineers in Bangalore and Mohali, architecture and accountability in Austin, working hours that overlap yours. Zero-downtime cutovers get designed, not hoped for.
Tell us what you’re moving, where it’s going, and what downtime costs you. Reach out and we’ll give you a straight answer on scope, cost, and timeline within 48 hours.