Pendo → Redash
AI-first ETL from Pendo into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into Redash
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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
Pendo: Product analytics and in-app guidance for SaaS teams.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Pendo entities map to Redash
| Pendo entity | Redash object | Notes |
|---|---|---|
| events | pendo_events | temporal columns events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo'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 Pendo to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Pendo
Early access
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