Pricing and plans
You can choose one of the following Datalore plans:
For detailed descriptions and differences between the plans, refer to Plan comparison.
The plans define what computation time, storage options, instances, and extra features are available to you. The information below will help you choose the right option.
With regards to computation, it is important to consider the following aspects: computation time, parallel computation, and long computation.
Computation time is the time consumed to run code and execute your notebooks. To view your current computations, click your avatar icon in the upper-right corner of the screen to open the Account menu and select Running computations.
For a detailed report on machine usage, go to .csv file there.. You can download it as a
The Community and Professional plans allow you to have a total of 120 hours of up to three parallel computations. The first computation is not counted as parallel. For example, if you are running three notebooks simultaneously, it is two parallel computations with 60 hours for each.
After your 120 hours of parallel computation time is up, if there is computation time left, you can run only one notebook at a time.
Enabling long computation helps you run notebooks even when Datalore is closed.
You have the following storage options:
- Internal storage
Datalore provides cloud storage for notebooks and attachments. The attached files remain attached to the notebooks whenever you close Datalore. For a .csv report on storage usage, go to .
If you downgrade from the Professional plan to Community, any data exceeding the storage limit will be deleted after 30 days.
- External storage
Datalore supports external S3 buckets. This helps you work with the data files you already have in your cloud storage and extend Datalore internal storage based on your needs. To connect your storage, go to.
For shared notebooks, Datalore uses the computation resources from the account of the document’s owner. This means that if you are the owner of a notebook that you share with two people and they continue running the notebook after you close the Datalore tab, it is your computation time and memory that will be consumed. If all three of you are running one notebook simultaneously, only one computation will be enabled and consumed.
When you share a workspace, your storage resources will be consumed.
When you publish a notebook, you publish a static copy, and no computation resources will be consumed when the user views it.