Apollo → Holistics
AI-first ETL from Apollo into Holistics. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Holistics
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.
Ideal for as-code BI modeling on a warehouse.
Endpoints
Apollo: Sales intelligence and engagement platform with account-level activity.
Holistics: Self-service BI with modeling layers and scheduled report delivery.
How Apollo entities map to Holistics
| Apollo entity | Holistics object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → flattened columns for the modeling layer |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | date/time dimensions events |
FAQ
How does Datrise handle Apollo's custom fields in Holistics?
Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.
How does the Apollo to Holistics sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the modeled tables.
Related pipelines
More destinations for Apollo
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