DatriseAI-first ETL

RD Station CRM to Redash Integration

AI-first ETL from RD Station CRM into Redash. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station CRM into Redash

Datrise syncs RD Station CRM's deals, contacts, organizations, funnel stages, activities, and loss reasons 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

RD Station CRM: Sales CRM paired with RD Station inbound marketing.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How RD Station CRM entities map to Redash

RD Station CRM entityRedash objectNotes
dealsrd_station_crm_dealsid PK · custom fields → flattened columns for query results
contactsrd_station_crm_contactsid PK · linked to rd_station_crm_deals
organizationsrd_station_crm_organizationsid PK · linked to rd_station_crm_deals
funnel stagesrd_station_crm_funnel_stagesid PK · linked to rd_station_crm_deals

FAQ

How does Datrise handle RD Station CRM'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 RD Station CRM to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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