Cloud-based vs. On-Premise Software: What Model

If you opt for custom software development, sooner or later the question arises: Where should the software be operated? In the cloud or on own servers (on-premise)?

Both models have their permission and have specific benefits and disadvantages.

In this article we help you make the right decision for your company.

The direct comparison

Cloud or on-premise? Compare both deployment models for your custom software.

For Cloud-based vs. On-Premise Software: What Model, see View services und Discover solutions on our website for rollout paths and planning.

Criterion	Cloud	On-premise
Initial investment	Gering (OpEx)	High (CapEx)
Current costs	Monthly fees	Maintenance, staff, electricity

scalability At once elastic Planning required

Control Limited Fully

Data sovereignty Depending on the provider Fully

Maintenance From the provider Owner ownership

Access SLA guarantee Responsible

Access From everywhere Often only internal/VPN

Cloud-based software

What does cloud mean?

With a cloud solution, your software is operated on servers of a cloud provider such as AWS, Microsoft Azure or Google Cloud.

They pay for the resources used and do not have to worry about the infrastructure.

Cloud benefits

• Quality provision: New resources are available in minutes

• Elastic scaling: Automatic adjustment to load peaks

• No hardware investment: No own data center needed

• Global access: Access from anywhere with Internet connection

• Automatic updates: Infrastructure is maintained by the provider

• Disaster Recovery: Built-in backup and recovery options

Disadvantages of the Cloud

• Running costs: Monthly fees can sum up

• **Vendor Lock-in at proprietary services

• Data protection concerns: Data are on external servers

• Internet dependency: Without connection no access

On-Premise Software

What does On-Premise mean?

For an on-premise solution, run the software on your own servers in your data center or server room. You have full control over hardware and data.

Advantages of On-Premise

• Full control: Complete sovereignty over data and infrastructure

• Data sovereignty: Data never leave your company

• No running cloud costs: Low operating costs possible after initial investment

• Compliance: Easier compliance with strict data protection needs

• Independence: No dependency on external providers

Disadvantages of On-Premise

• High initial investment: Hardware, licenses, setup

• IT staff required: Own experts for operation and maintenance

• Scaling complex: New hardware must be purchased

• Ownership: Play updates and patches yourself

The hybrid approach

The best of both worlds

Many companies opt for a hybrid approach that combines cloud and on-premise components. Sensitive data remain in your own data center, w

References and further reading

The following separate references complement the topics in this article:

• Bitkom – German digital industry association.
• German Federal Office for Information Security (BSI).
• European Commission – Digital strategy.
• MDN Web Docs (Mozilla)
• W3C – World Wide Web Consortium.

"AI in mid-sized companies works when processes are measurable and data is trustworthy—a pilot without a success metric is theatre."

— Björn Groenewold, Managing Director, Groenewold IT Solutions

Frequently Asked Questions (FAQ)

What is this article about: “Cloud-based vs. On-Premise Software: What Model”?

This article sums up practical aspects of Cloud-based vs. On-Premise Software. What Model for leaders and delivery teams. In short: Cloud or on-premise?

Compare both deployment models for your custom software. Costs, safety, scalability and control in direct comparison.

Who benefits most from the content described here?

It is especially relevant for firms in Software development that need reliable systems, clear interfaces, and predictable delivery — from mid-market teams to expert departments.

How does this topic fit into an IT or digital strategy?

You can map the topic to service building blocks such as custom software and delivery support. Architecture reviews and stepwise rollout reduce risk and rework.

For multi-system landscapes, IT consulting and architecture helps align vendors and internal teams.

What are sensible next steps if we need support?

For architecture, rollout, or a second expert opinion, book a free initial consultation — including timeline and interface alignment.