DatriseAI-first ETL

Polygon Stock API Chartio

AI-first ETL from Polygon Stock API into Chartio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Polygon Stock API into Chartio

Datrise syncs Polygon Stock API's records, events, and configuration objects 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

Polygon Stock API: SaaS or API data source for analytics and warehouse sync.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Polygon Stock API entities map to Chartio

Polygon Stock API entityChartio objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → flattened columns for visual SQL
eventspolygon_stock_api_eventstemporal columns events
configuration objectspolygon_stock_api_configuration_objectsid PK · linked to polygon_stock_api_records

FAQ

How does Datrise handle Polygon Stock API'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 Polygon Stock API to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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