Glossary · On-Premise

On-Premise

On-premise means running a system on servers inside your own facility rather than in an external cloud, so the data never leaves the company.

How it connects

  1. Shop-floor data

    Equipment and work records

  2. Internal server

    Hosted within the organization

  3. Internal users

    Access according to permissions

Within the organization’s managed environment

Definition

Definition

On-premise means running a system on servers inside your own facility rather than in an external cloud, so the data never leaves the company.

In more detail

The primary reason is data control. Process conditions, drawings and quality history are core assets, and customer contracts frequently prohibit taking them outside.

The second reason is network dependence. Production must continue when the internet does not. A line stopped because a work order could not be fetched is unacceptable, so systems on the critical path are safer on site.

The trade is that servers, backups and security patching become your responsibility. A hybrid — execution on premises, analytics and reporting in the cloud — is increasingly common.

How it is used on the floor

  • Keep process data and drawings on internal servers.
  • Ensure shop-floor systems keep running through a network outage.
  • Satisfy customer restrictions on data leaving the company.

Which is better, on-premise or cloud?

It is a question of conditions, not superiority. Data export restrictions, network reliability and whether you have people to operate servers decide it. Splitting execution on site from analytics in the cloud is also common.

Related terms

Terms that make more sense read together.

Related products

What IYULAB provides in this area.

Quick Answers

On-Premise — frequently asked

Questions that come up when evaluating On-Premise.

Does on-premise rule out remote support?

No. A remote access path aligned to your security policy is provided, typically logged and opened only when needed.

Do we need to buy new servers?

It depends on scale. Existing internal server capacity is often sufficient, and small deployments can run on a compact industrial server.

Can we move to the cloud later?

Yes, if portability is considered at design time. The key is not binding data structures and integrations tightly to one environment.

How would this apply to your plant?

A look at your equipment and current workflow is usually enough to scope it.

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