Localytics to Chartio Integration
AI-first ETL from Localytics into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Localytics into Chartio
Datrise syncs Localytics's sessions, events, users, campaigns, push deliveries, and app profiles into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, 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. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Localytics: Mobile app analytics and push engagement.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Localytics entities map to Chartio
| Localytics entity | Chartio object | Notes |
|---|---|---|
| sessions | localytics_sessions | id PK · custom fields → flattened columns for visual SQL |
| events | localytics_events | temporal columns events |
| users | localytics_users | id PK · linked to localytics_sessions |
| campaigns | localytics_campaigns | id PK · linked to localytics_sessions |
FAQ
How does Datrise handle Localytics's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Localytics to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Localytics
Early access
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