Pendo → PostgreSQL
AI-first ETL from Pendo into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into PostgreSQL
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
Pendo: Product analytics and in-app guidance for SaaS teams.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How Pendo entities map to PostgreSQL
| Pendo entity | PostgreSQL object | Notes |
|---|---|---|
| events | pendo_events | timestamptz 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 PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the Pendo to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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