DatriseAI-first ETL

Polygon Stock API ClickHouse

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

How Datrise loads Polygon Stock API into ClickHouse

Datrise syncs Polygon Stock API's records, events, and configuration objects into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How Polygon Stock API entities map to ClickHouse

Polygon Stock API entityClickHouse objectNotes
recordspolygon_stock_api_recordsid PK · custom fields → JSON or Map columns
eventspolygon_stock_api_eventsDateTime64 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 ClickHouse?

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

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

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