EmailOctopus to Redash Integration

How Datrise loads EmailOctopus into Redash

Datrise syncs EmailOctopus's contacts, lists, campaigns, email events, tags, and automations 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

EmailOctopus: Lightweight email campaigns and list management.

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

How EmailOctopus entities map to Redash

EmailOctopus entity	Redash object	Notes
contacts	`emailoctopus_contacts`	id PK · custom fields → flattened columns for query results
lists	`emailoctopus_lists`	id PK · linked to emailoctopus_contacts
campaigns	`emailoctopus_campaigns`	id PK · linked to emailoctopus_contacts
email events	`emailoctopus_email_events`	temporal columns events

FAQ

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

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

Related pipelines

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