Close → Redash
AI-first ETL from Close into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Close into Redash
Datrise syncs Close's leads, opportunities, calls, SMS events, and sequence performance 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
Close: Inside-sales CRM with calling and sequences.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Close entities map to Redash
| Close entity | Redash object | Notes |
|---|---|---|
| leads | close_leads | id PK · custom fields → flattened columns for query results |
| opportunities | close_opportunities | id PK · linked to close_leads |
| calls | close_calls | id PK · linked to close_leads |
| SMS events | close_sms_events | temporal columns events |
FAQ
How does Datrise handle Close'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 Close to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Close
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