Apollo → Domo
AI-first ETL from Apollo into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Domo
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity 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
Apollo: Sales intelligence and engagement platform with account-level activity.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Apollo entities map to Domo
| Apollo entity | Domo object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → flattened columns for Magic ETL |
| 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 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 Apollo to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
More destinations for Apollo
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