DatriseAI-first ETL

Sendwithus to Redash Integration

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

How Datrise loads Sendwithus into Redash

Datrise syncs Sendwithus's templates, sends, customers, delivery events, versions, and drip campaigns 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

Sendwithus: Templated transactional email and A/B testing.

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

How Sendwithus entities map to Redash

Sendwithus entityRedash objectNotes
templatessendwithus_templatesid PK · custom fields → flattened columns for query results
sendssendwithus_sendsid PK · linked to sendwithus_templates
customerssendwithus_customersid PK · linked to sendwithus_templates
delivery eventssendwithus_delivery_eventstemporal columns events

FAQ

How does Datrise handle Sendwithus'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 Sendwithus to Redash sync stay up to date?

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

Related pipelines

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