Apollo → Metabase
AI-first ETL from Apollo into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Metabase
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
Apollo: Sales intelligence and engagement platform with account-level activity.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How Apollo entities map to Metabase
| Apollo entity | Metabase object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → flattened columns for the question builder |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | temporal columns for trends events |
FAQ
How does Datrise handle Apollo's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the Apollo to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Apollo
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