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the difference between general endpoint and managed endpoint

Blue LED

the difference between general endpoint and managed endpoint

Hi There,


I noticed that there are two different endpoints to access DR. One is for trial and one is a managed endpoint.


What is the difference between them if I am in the US?


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4 Replies
DataRobot Employee
DataRobot Employee

Hi @tiktak ,


Welcome to the community and thanks for your question. 


We have two versions of DataRobot - Trial version and Enterprise version. The API endpoint for these versions are different. The API endpoint for DataRobot AI Platform Trial and Self-Service users is while that for Enterprise version (Managed AI Cloud (US)) is


Please refer to the following link for further details on APIs.




Data Scientist
Data Scientist

Hi @tiktak!

There are also a few differences between the trial and fully hosted version of the DataRobot platform, which are detailed here:



Your response is repeating my question. I have seen those and I am asking why they are different in a technical point of view.

I'm more interested to know about the hosting and the backend of the endpoints. This is what I cannot find in the documentations. What are considerations in a managed endpoints that do not exist in the trial one?

I want to know how far I can feel secure to test our applications during the trial. What are differences in the backend?

Thanks. My question is more about the backend of the endpoint and security measures. Are they the same in terms of security measures and backend? I am testing some applications and for some reasons I want to test it with our real dataset. I'm a ML engineer so in higher level and documentation I can see what it does I don't need testing on benchmarking datasets. There is something that I wanna check and I want to know how secure is this endpoint to try that.