Polygon Stock API to ThoughtSpot Integration
AI-first ETL from Polygon Stock API into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Polygon Stock API into ThoughtSpot
Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.
Ideal for natural-language search analytics over a warehouse.
Endpoints
Polygon Stock API: Equities market data, trades, and aggregates.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Polygon Stock API entities map to ThoughtSpot
| Polygon Stock API entity | ThoughtSpot object | Notes |
|---|---|---|
| tickers | polygon_stock_api_tickers | id PK · custom fields → flattened columns for searchable fields |
| aggregate bars | polygon_stock_api_aggregate_bars | id PK · linked to polygon_stock_api_tickers |
| trades | polygon_stock_api_trades | id PK · linked to polygon_stock_api_tickers |
| quotes | polygon_stock_api_quotes | id PK · linked to polygon_stock_api_tickers |
FAQ
How does Datrise handle Polygon Stock API's custom fields in ThoughtSpot?
Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.
How does the Polygon Stock API to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
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More sources for ThoughtSpot
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