Anyone planning a move to Oracle Cloud Infrastructure asks the same two questions early: how long will it take, and what will it do to our costs. The honest answer is that it depends, but that answer is useless for planning. What helps is benchmark data drawn from real engagements, expressed as ranges with the factors that move a given migration up or down within them. This article sets out the migration benchmark picture as it stands in 2026, and, just as importantly, how to read it without mistaking a range for a promise.
It is part of our OCI case studies and benchmarks cluster, and it sits alongside the detailed timeline and cost views in our timeline benchmarks and cost benchmarks. The figures here are ranges from delivered work, anonymised by sector, not vendor marketing numbers.
Why benchmarks help and where they mislead
Benchmarks are useful because they replace a blank page with a grounded expectation. A team that knows a migration of its size typically lands in a certain range can plan, budget, and set stakeholder expectations realistically, rather than being whipsawed between an optimistic vendor pitch and a fearful worst case. A good benchmark is a starting point for an estimate, refined by the specifics of the estate.
Benchmarks mislead when they are read as guarantees. Every estate differs in size, complexity, technical debt, and the readiness of its team, and those differences move a migration within the range or, occasionally, outside it. A benchmark says what is typical, not what is certain, and the right use of one is to ask what about our estate would push us toward the faster or the slower end. Treating the midpoint as a promise is how plans go wrong.
Migration timeline ranges
Timelines vary mostly with the complexity of the workload and the cleanliness of the cutover required. A straightforward lift and shift of a contained workload can complete in a small number of weeks, while a complex enterprise application with many integrations and a zero downtime requirement runs to several months. The retailer in our ninety day EBS case sat in the middle of that span, achieving an aggressive timeline through disciplined phasing rather than luck.
The single biggest mover of timeline is not the technology but the readiness of the organisation: how well the estate is understood, how available the people are, and how decisive the governance is. Migrations stall in indecision and discovery far more often than in technical difficulty, which is why the planning phase, not the cutover, usually determines whether a timeline holds.
Cost change ranges
Cost outcomes vary widely because they depend on where the estate is coming from and how well the target is sized. Estates moving from over provisioned on premises hardware, sized for peak and a refresh cycle, often see significant infrastructure savings because the OCI estate is sized to actual load and flexes with demand. Our optimization work commonly finds spend reductions averaging around forty percent once an estate is right sized and governed, consistent with the figures in our cost benchmarks.
The caution is that a migration done without sizing discipline can fail to deliver those savings, because lifting an over provisioned estate unchanged simply moves the waste to a new bill. The cost benefit comes from the right sizing and governance applied during and after the move, not from the change of venue alone. A migration and a cost optimization are related but distinct, and the savings benchmark assumes the latter is actually done.
| Dimension | Typical range | What moves it |
|---|---|---|
| Simple lift and shift | Weeks | Workload size, integration count |
| Complex enterprise app | Several months | Integrations, downtime tolerance |
| Infrastructure cost change | Often a large reduction | Source over provisioning, sizing discipline |
| Biggest timeline factor | Planning, not cutover | Estate clarity, people, governance |
Reading benchmarks for your own estate
The practical way to use this data is to locate your estate within the ranges by asking honest questions. Is the estate well understood or full of undocumented integrations? Is it over provisioned or already lean? Is the team available and the governance decisive, or will decisions wait? Each answer nudges your expectation toward one end of the range, and the sum of those nudges is a far better estimate than the midpoint of any single benchmark.
This is also why an early assessment pays for itself: it converts a generic range into a specific estimate grounded in your actual estate. That is precisely what our implementation and migration service and the OCI assessment are designed to produce, replacing benchmark ranges with numbers you can plan against.
Benchmarks as a planning tool, not a verdict
Used well, benchmark data turns a migration from a leap of faith into a planned project with realistic expectations. Used badly, as a guarantee or a target divorced from the specifics of the estate, it sets up disappointment. The discipline is to treat every range as a question about your own situation rather than an answer to it.
The case studies in this cluster, from the retailer migration to the manufacturer cost reduction, are the data points behind these ranges, and the case studies pillar ties them together. The lesson is consistent: benchmarks inform the plan, but the estate decides the outcome.
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