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Ditap®

Comparison

Cloud

On-Premise vs Cloud

It's rarely all-or-nothing — it's almost always hybrid

The "on-premise vs cloud" debate is usually framed as a binary choice, but in the projects we run it almost never is: most clients end up in a hybrid model, with some workloads on their own premises and others on AWS, Azure, or GCP.

This comparison helps you understand which criteria favor each model, so you can decide workload by workload, not as a single company-wide policy.

Criterion-by-criterion comparison

CriterionOn-PremisePublic cloud
Cost structureHigh upfront investment (CAPEX), low marginal cost afterwardNo upfront investment, recurring operating cost (OPEX) based on usage
Scalability under demand spikesLimited to installed capacity, requires buying hardwareElastic — adjusts to demand within minutes
Data control and residencyTotal — data never leaves the client's premisesDepends on the chosen cloud provider's region
Maintenance and patchingThe client's responsibility, or DITAP's as managed providerThe cloud provider manages the physical infrastructure
Availability and redundancyDepends on your own design (UPS, generators, redundant sites)Geographic redundancy available by the provider's design
Local access latencyMinimal for users at the same siteDepends on distance to the nearest cloud region
Dependency on internet connectivityLow — critical systems keep working without internetHigh — no internet means no access to the systems
Monthly cost predictabilityHigh once the upfront investment is paid offVariable — can spike with poorly governed usage
Time to operationalWeeks or months (procurement, install, configuration)Minutes to hours once the architecture is defined

What we recommend depending on your case

What we recommend depending on your case:

  • Stable, predictable workloads with strict data-residency regulatory requirements. On-premise, or private cloud within the required jurisdiction.
  • A product or system with variable demand, seasonal spikes, or fast user growth. Public cloud — elasticity avoids oversizing your own hardware.
  • A small IT team without the capacity to maintain physical hardware. Cloud managed by DITAP — reduces the internal operational load.
  • A site with unreliable internet connectivity (rural, remote). Prioritize on-premise for critical systems, with cloud as backup or for non-critical ones.
  • A new system still in validation (MVP, proof of concept) before real demand is known. Public cloud — avoids committing capital to hardware for something that may not scale.

At DITAP Cloud we design with this per-workload decision logic. The right question isn't "on-premise or cloud," but which systems need which model, and by what criteria. Most of our clients end up running both, deliberately, rather than picking a single model for the entire company from day one.

This comparison is technical and unbiased: we receive no commission or commercial arrangement from any of the vendors or approaches mentioned. The recommendations reflect what we see working on real projects.

Need to decide this for your company?

Every site is different — let's talk about yours before deciding based on a generic comparison.

Other comparisons

PEOPLE, PROCESS AND SUPPORT

Alongside you, before, during and after.

A clear first conversation. A written proposal. Next steps agreed together.

  1. Before: understand and define

    We discuss your needs and set out objectives, deliverables, timelines and costs in the proposal.

  2. During: coordinate the work

    We agree on responsibilities, stages and the information needed to move forward. Launch and training are defined for each project.

  3. After: know what comes next

    We agree on support channels, hours and scope so you know whom to contact.

Answers before you decide.

What will I receive before signing?

A written proposal with scope, deliverables, stages, pricing and terms, including any additional services you choose.

How is support organized?

We define contact channels, hours and support scope in the proposal, so you know what is included and how to request help.

What happens to my organization’s information?

We review what information is needed, who can access it and how it is shared. For software systems, we also agree on backup, retention and export conditions.

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