Advantages/Disadvantages of On-Prem and Cloud Orchestrator

Hi All,

Can someone share the advantages and disadvantages of On-Prem vs Cloud Orchestrator?

Features available in On-Prem and not in Cloud , Vice Versa

Thanks,

@john.mari

On prem :

  1. Orchestrator will be hosted by you
  2. data and everything is stored in internal servers
  3. Retention policies or adding more customization to orchestrator is possible
  4. If ai centre is needed another server needs to be used
  5. HAA add on needs more servers and related costing

Cloud:

  1. All features available in om prem are available(not fully configuring orchestrator)
  2. Services like integration services are jot available on on prem as of now
  3. Integration to ai centre need not have separate server
  4. Updates to orchestrator versions is seamless
  5. Hosting is not taken by us

https://docs.uipath.com/overview/other/latest/overview/orchestrator-differences

This is an exhaustive link

https://docs.uipath.com/overview-guide/docs/product-differences

Cheers

2 Likes

Hi @john.mari

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.

I hope this will help you .

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