Marketo to Redash Integration
AI-first ETL from Marketo into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Marketo into Redash
Datrise syncs Marketo's leads, programs, campaigns, email events, lists, and lead scores 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
Marketo: B2B marketing automation and lead management.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Marketo entities map to Redash
| Marketo entity | Redash object | Notes |
|---|---|---|
| leads | marketo_leads | id PK · custom fields → flattened columns for query results |
| programs | marketo_programs | id PK · linked to marketo_leads |
| campaigns | marketo_campaigns | id PK · linked to marketo_leads |
| email events | marketo_email_events | temporal columns events |
FAQ
How does Datrise handle Marketo'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 Marketo to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Marketo
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