Apollo → Redash
AI-first ETL from Apollo into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Apollo into Redash
Datrise syncs Apollo's sales intelligence records, account engagement, and outbound activity into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Apollo: Sales intelligence and engagement platform with account-level activity.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Apollo entities map to Redash
| Apollo entity | Redash object | Notes |
|---|---|---|
| sales intelligence records | apollo_sales_intelligence_records | id PK · custom fields → flattened columns for query results |
| account engagement | apollo_account_engagement | id PK · linked to apollo_sales_intelligence_records |
| outbound activity | apollo_outbound_activity | temporal columns events |
FAQ
How does Datrise handle Apollo's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Apollo to Redash 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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