DatriseAI-first ETL

Apollo Spreadsheets

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

How Datrise loads Apollo into Spreadsheets

Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity 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

Apollo: Sales intelligence and engagement platform with account-level activity.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Apollo entities map to Spreadsheets

Apollo entitySpreadsheets objectNotes
sales intelligence recordsapollo_sales_intelligence_recordsid PK · custom fields → JSON-stringified cells for nested fields
account engagementapollo_account_engagementid PK · linked to apollo_sales_intelligence_records
outbound activityapollo_outbound_activityISO-8601 text or serial date cells events

FAQ

How does Datrise handle Apollo'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 Apollo 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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