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The current app flow is connection-first and workspace-driven. You create reusable connections and a lightweight pipeline, then complete setup on the pipeline detail page. There is no canvas editor.

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Current pipeline workspace

Every pipeline opens at /workspace/data-pipelines/[id] with these tabs:

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Current app flow

  1. Create a PostgreSQL, MySQL, MongoDB, Airtable, Asana, Notion, HubSpot, or Stripe source connection.
  2. Create a PostgreSQL, MySQL, MongoDB, or Airtable destination connection.
  3. Create a pipeline from Data Pipelines with a name and source connection.
  4. Open the pipeline and use Source to discover, preview, select, and save streams.
  5. Use Destinations → Add destination to choose a connection and save a delivery target.
  6. Use Transformations, select that destination, and create a SQL transformation.
  7. Save the draft, then Validate draft, Preview output, and Publish revision.
  8. Return to the destination editor, configure the published output table and Upsert keys, then save.
  9. Use Overview → Validate pipeline until all readiness checks pass.
  10. Click Run all in the pipeline header.
  11. Use Runs to inspect the execution.
  12. Add a fixed interval or UTC cron schedule from Settings after a manual run succeeds.

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Before you configure delivery

The SQL delivery runner does not create final destination tables. For database destinations, use Create or verify destination table when that explicit setup action is available, or create the reviewed DDL yourself. For Airtable, create the table and writable fields in Airtable first, then refresh them in the destination editor. MongoDB can create a collection on first write, but production collections should have reviewed validators and Upsert-key indexes.

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Next

Follow the Quick Start for an end-to-end PostgreSQL example. For CRM data, follow the HubSpot source guide. For bidirectional SaaS/database delivery, follow the Airtable and MySQL guide. For document workflows, follow the MongoDB and PostgreSQL guide.