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Which connectors are live in the public docs?

PostgreSQL, MySQL, MongoDB, and Airtable are available as sources and destinations. Asana, Notion, Strapi, HubSpot, and Stripe are available as sources. Asana exposes eight supported streams, Notion discovers each shared data source dynamically, Strapi accepts validated Content API IDs from each customer’s Strapi 5 project, Stripe exposes 34, and HubSpot exposes ten. MySQL, Airtable, Asana, Notion, and Strapi are runtime-capability gated, so the connection picker shows them only when both the API and ELT runtime report support for the selected role. MongoDB is explicitly enabled as an Available Now connector after real MongoDB-to- PostgreSQL, PostgreSQL-to-MongoDB, and MongoDB-to-MongoDB verification. See Connections Overview for the canonical availability table. Other connector pages remain as direct-link status notices and are not live self-serve workflows.

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Does MantrixFlow create destination tables?

The delivery runner does not create final tables. Create the destination table before running, or use the explicit setup action when the selected database destination exposes it. For Airtable, create the table and fields in Airtable, then refresh destination discovery. The runner validates the final contract and fails clearly when it is missing or mismatched. MongoDB can create a collection on first write, but production deployments should pre-create and review validators and unique indexes for the selected Upsert keys.

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Where do I select source tables?

Open the pipeline Source tab. Click Discover catalog, enable streams in the table, choose sync modes/cursors, use Preview, and click Save stream settings.

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Where do I write SQL?

Open Transformations, select a destination, and create or open its transformation editor. Save SQL as a draft, validate it, preview output, and publish the revision. Reference staged source data with the source helper:

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Where are rename and cast rules?

The former Normalisation panel is no longer part of the current workspace. Use explicit SQL aliases and CAST(...) expressions in the destination-owned transformation.

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Which write mode should I use?

Use Upsert. It is the live write mode in the current app. If the destination table has a primary key, delivery uses merge behavior. If it has no primary key, delivery appends rows and records a no-primary-key warning.

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Can I schedule a Full Table sync?

Yes, schedules are pipeline-level controls in Settings. A scheduled Full table stream rereads all visible rows, so review source size and API limits before enabling it.

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Why did my run fail before writing rows?

See Troubleshooting for connection, discovery, validation, delivery, Incremental sync, and billing checks.

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Is staging data permanent?

No. Runs stage data in temporary storage. The runner extracts checkpoint state and cleans up the staging file during cleanup.