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The Tables piece gives flows full access to your data, both as steps and as triggers.

Reading

  • Find Records — search a table for the rows you want
  • Get Record — fetch one by ID

Writing

  • Create Record(s) — add one or many
  • Update Record — change an existing row

Removing

  • Delete Record(s) — remove one or many rows
  • Clear Table — empty it while keeping the fields

Managing

  • Create Table, Delete Table, Download Table

Starting a flow when data changes

Tables can also trigger a flow, which is usually the more interesting half: That means you can react to data instead of polling for it. Something writes a lead into a table, and enrichment starts on its own.
Splitting work across a table like this keeps each flow small. One flow collects, one reacts. Either can fail and be retried without redoing the other.