Pendo → ClickHouse
AI-first ETL from Pendo into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into ClickHouse
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Pendo: Product analytics and in-app guidance for SaaS teams.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Pendo entities map to ClickHouse
| Pendo entity | ClickHouse object | Notes |
|---|---|---|
| events | pendo_events | DateTime64 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 ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Pendo to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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