Apollo → ThoughtSpot
AI-first ETL from Apollo into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into ThoughtSpot
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Apollo: Sales intelligence and engagement platform with account-level activity.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Apollo entities map to ThoughtSpot
| Apollo entity | ThoughtSpot object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → flattened columns for searchable fields |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | date/time columns events |
FAQ
How does Datrise handle Apollo's custom fields in ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Apollo to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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