DatriseAI-first ETL

Clay to Spreadsheets Integration

AI-first ETL from Clay into Spreadsheets. Governed entities, incremental sync, typed landing tables.

How Datrise loads Clay into Spreadsheets

Datrise syncs Clay's tables, rows, enrichment runs, waterfalls, data sources, and exported lists into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Clay: Data enrichment tables that build outbound lists.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Clay entities map to Spreadsheets

Clay entitySpreadsheets objectNotes
tablesclay_tablesid PK · custom fields → JSON-stringified cells for nested fields
rowsclay_rowsid PK · linked to clay_tables
enrichment runsclay_enrichment_runsid PK · linked to clay_tables
waterfallsclay_waterfallsid PK · linked to clay_tables

FAQ

How does Datrise handle Clay's custom fields in Spreadsheets?

Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.

How does the Clay to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

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