DatriseAI-first ETL

Polygon Stock API to Snowflake Integration

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

How Datrise loads Polygon Stock API into Snowflake

Datrise syncs Polygon Stock API's tickers, aggregate bars, trades, quotes, splits, and dividends into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

Polygon Stock API: Equities market data, trades, and aggregates.

Snowflake: Cloud data warehouse with separated compute and storage.

How Polygon Stock API entities map to Snowflake

Polygon Stock API entitySnowflake objectNotes
tickerspolygon_stock_api_tickersid PK · custom fields → VARIANT columns
aggregate barspolygon_stock_api_aggregate_barsid PK · linked to polygon_stock_api_tickers
tradespolygon_stock_api_tradesid PK · linked to polygon_stock_api_tickers
quotespolygon_stock_api_quotesid PK · linked to polygon_stock_api_tickers

FAQ

How does Datrise handle Polygon Stock API's custom fields in Snowflake?

Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.

How does the Polygon Stock API to Snowflake sync stay up to date?

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

Related pipelines

Early access

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