Unleash to Chartio Integration
AI-first ETL from Unleash into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Unleash into Chartio
Datrise syncs Unleash's feature toggles, strategies, environments, projects, metrics, and toggle events 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
Unleash: Open-source feature flags and rollout strategies.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Unleash entities map to Chartio
| Unleash entity | Chartio object | Notes |
|---|---|---|
| feature toggles | unleash_feature_toggles | id PK · custom fields → flattened columns for visual SQL |
| strategies | unleash_strategies | id PK · linked to unleash_feature_toggles |
| environments | unleash_environments | id PK · linked to unleash_feature_toggles |
| projects | unleash_projects | id PK · linked to unleash_feature_toggles |
FAQ
How does Datrise handle Unleash'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 Unleash to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Unleash
Early access
Connect Unleash to Chartio the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.