DatriseAI-first ETL

Zapier Storage to Domo Integration

AI-first ETL from Zapier Storage into Domo. Governed entities, incremental sync, typed landing tables.

How Datrise loads Zapier Storage into Domo

Datrise syncs Zapier Storage's stored values, keys, secrets, zaps, update events, and storage buckets into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Zapier Storage: Key-value storage used by Zapier automations.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Zapier Storage entities map to Domo

Zapier Storage entityDomo objectNotes
stored valueszapier_supported_storage_stored_valuesid PK · custom fields → flattened columns for Magic ETL
keyszapier_supported_storage_keysid PK · linked to zapier_supported_storage_stored_values
secretszapier_supported_storage_secretsid PK · linked to zapier_supported_storage_stored_values
zapszapier_supported_storage_zapsid PK · linked to zapier_supported_storage_stored_values

FAQ

How does Datrise handle Zapier Storage's custom fields in Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the Zapier Storage to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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