Flexible plans & delivery methods


What is the difference between a public and a private application?

A public application is accessible by anyone, even without an Intuitics account. All public apps are featured in a browseable and searcheable catalog. Registered users can clone (fork) public apps and modify them for their neeeds. A private application is one for which the developer can specify the individual users or groups of users who have access. A private application is not featured on the market and can use more resources (RAM & CPU).

Can non-paying or non-registered users access private applications?

Yes. The application developer is paying for the usage through his/her subscription.

How do time limits (runtime hours) work?

Each developer subscription has an allowance of application runtime hours (at the corresponding CPU/memory level). This allowance is consumed when users run an application by this developer. There can be multiple users consuming the allowance concurrently.

My runtime hours per month are not enough. Can I get more?

Yes, you can always pay for more hours after subscribing.

How do CPU and memory limits work?

Each developer subscription has a limit on the CPU and memory that the developer's applications can use (for the corresponding time limit). Within that limit, application developers set the amount of memory and CPU that each application needs. When a user starts an application, Intuitics creates an isolated environment with the specified CPU and memory limits. In case the application tries to use more memory than it has, it is terminated.

1 GB RAM/1 GHz CPU is not enough for my application. Can it use more?

Yes. An app can scale from this baseline up to multiple of the most powerful AWS servers. You can adjust the limit after subscribing. You can also go with an on-premise version where the hardware is entirely up to you.

Intuitics speeds up decision making and saves time

Business users get the insights they need through interactive web apps,
while data scientists focus on discovering new relationships in the data

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