Day.ai to Apache Superset Integration
AI-first ETL from Day.ai into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Day.ai into Apache Superset
Datrise syncs Day.ai's contacts, companies, meetings, opportunities, AI summaries, and relationship signals into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Day.ai: CRM that builds records from meetings and email automatically.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Day.ai entities map to Apache Superset
| Day.ai entity | Apache Superset object | Notes |
|---|---|---|
| contacts | day_ai_contacts | id PK · custom fields → flattened columns for the explore UI |
| companies | day_ai_companies | id PK · linked to day_ai_contacts |
| meetings | day_ai_meetings | id PK · linked to day_ai_contacts |
| opportunities | day_ai_opportunities | id PK · linked to day_ai_contacts |
FAQ
How does Datrise handle Day.ai's custom fields in Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Day.ai to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
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