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Storing data


Table nodes are storage nodes that are similar to standard database tables, but provide a layer of abstraction that enables data versioning, retention, and cross-platform support. They are attached to a specific database and create actual database tables based on the operations of Python and SQL nodes.


Stream nodes are storage nodes built for processing a stream of JSON records, in a one-at-a-time fashion. Streams enable real-time processing of records with Python nodes. Streams can be accumulated and flattened into a Table with the standard Convert Stream to Table marketplace component, and vice-versa, a Table can be converted into a Stream with the respective component.