Snowplow to Spreadsheets Integration
AI-first ETL from Snowplow into Spreadsheets. Governed entities, incremental sync, typed landing tables.
How Datrise loads Snowplow into Spreadsheets
Datrise syncs Snowplow's events, users, sessions, contexts, page views, and event schemas into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.
Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.
Ideal for lightweight, shareable reporting for non-technical teams.
Endpoints
Snowplow: Behavioral event pipeline with a strict schema.
Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.
How Snowplow entities map to Spreadsheets
| Snowplow entity | Spreadsheets object | Notes |
|---|---|---|
| events | snowplow_events | ISO-8601 text or serial date cells events |
| users | snowplow_users | id PK · linked to snowplow_events |
| sessions | snowplow_sessions | id PK · linked to snowplow_events |
| contexts | snowplow_contexts | id PK · linked to snowplow_events |
FAQ
How does Datrise handle Snowplow's custom fields in Spreadsheets?
Flexible values are stored as JSON-stringified cells for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spreadsheets types.
How does the Snowplow to Spreadsheets sync stay up to date?
It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.
Related pipelines
More destinations for Snowplow
More sources for Spreadsheets
Early access
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