DatriseAI-first ETL

RD Station Marketing to Redash Integration

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

How Datrise loads RD Station Marketing into Redash

Datrise syncs RD Station Marketing's leads, conversions, landing pages, emails, segmentations, and funnel stages 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 Marketing: Inbound marketing automation for Latin American teams.

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

How RD Station Marketing entities map to Redash

RD Station Marketing entityRedash objectNotes
leadsrd_station_marketing_leadsid PK · custom fields → flattened columns for query results
conversionsrd_station_marketing_conversionsid PK · linked to rd_station_marketing_leads
landing pagesrd_station_marketing_landing_pagesid PK · linked to rd_station_marketing_leads
emailsrd_station_marketing_emailsid PK · linked to rd_station_marketing_leads

FAQ

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

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

Related pipelines

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