Buckets are containers for tables in Storage. They are further organized into the following two stages:

  1. in — for input data (usually data source connector results)
  2. out — for processed data (usually results of transformations or applications)

The distinction between the input and output stages is purely conventional differentiation between raw and processed data. When creating a new bucket, select one of the stages and a suitable database backend based on its properties. For information on how to load data into Storage, see the corresponding part of our tutorial.

Screenshot - Create bucket

To review information about an existing bucket, hover over the bucket name and select Bucket detail:

Screenshot - Bucket information

Apart from being used for organizing tables, buckets can also be used for sharing tables.