What are the usecase of Orchastrotor on premisse

I’ve been exploring the link https://docs.uipath.com/orchestrator/standalone/2023.4, simply out of curiosity. I’m interested in understanding the use cases for installing Orchestrator on a local system and the potential advantages it offers compared to the traditional cloud-based Orchestrator

Both are the same product. The difference is on-prem Orchestrator needs to be deployed on your own server which you will need to configure and prepare from scratch. Cloud one is already deployed and you just need to set it up for your company and allow the traffic to go through it so robots can work like they should.

More details can be found here: https://docs.uipath.com/overview/other/latest/overview/orchestrator-differences


On-Premise and Cloud Orchestrators both have their own advantages and disadvantages. Here are some of the key features available in each option and their respective advantages and disadvantages:

On-Premise Orchestrator: Advantages:

  • Complete control over the hardware and software infrastructure.
  • No dependency on internet connectivity or cloud services.
  • Better customization and flexibility for specific business needs.
  • High level of security and data control.

Disadvantages:

  • High upfront costs for hardware and software licenses.
  • Limited scalability and capacity.
  • Higher maintenance and support costs.
  • Limited access to new features and updates.

Cloud Orchestrator: Advantages:

  • No upfront costs, pay-as-you-go model.
  • High scalability and capacity to handle a large number of robots.
  • Access to the latest features and updates.
  • Reduced maintenance and support costs.

Disadvantages:

  • Dependency on internet connectivity and cloud services.
  • Security and data control are not entirely in the hands of the business.
  • Limited customization and flexibility options.
  • Limited control over the infrastructure.

In terms of features available, the following are some examples:

Features available in On-Premise but not in Cloud:

  • Complete control over hardware and software infrastructure.
  • The ability to customize and configure the infrastructure to specific business needs.
  • High level of security and data control.

Features available in Cloud but not in On-Premise:

  • Pay-as-you-go model without upfront costs.
  • High scalability and capacity to handle a large number of robots.
  • Access to the latest features and updates.
  • Reduced maintenance and support costs.
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