Nutshell → Redash
AI-first ETL from Nutshell into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Nutshell into Redash
Datrise syncs Nutshell's pipeline records, activity history, and conversion-focused sales metrics 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
Nutshell: Sales CRM for teams that need simple reporting and pipeline velocity.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Nutshell entities map to Redash
| Nutshell entity | Redash object | Notes |
|---|---|---|
| pipeline records | nutshell_pipeline_records | id PK · custom fields → flattened columns for query results |
| activity history | nutshell_activity_history | temporal columns events |
| conversion-focused sales metrics | nutshell_conversion_focused_sales_metrics | id PK · linked to nutshell_pipeline_records |
FAQ
How does Datrise handle Nutshell'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 Nutshell to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Nutshell
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