CoinGecko to Redash Integration
AI-first ETL from CoinGecko into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads CoinGecko into Redash
Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
CoinGecko: Cryptocurrency prices and market data.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How CoinGecko entities map to Redash
| CoinGecko entity | Redash object | Notes |
|---|---|---|
| coins | coingecko_coins_coins | id PK · custom fields → flattened columns for query results |
| market prices | coingecko_coins_market_prices | id PK · linked to coingecko_coins_coins |
| market caps | coingecko_coins_market_caps | id PK · linked to coingecko_coins_coins |
| trading volumes | coingecko_coins_trading_volumes | id PK · linked to coingecko_coins_coins |
FAQ
How does Datrise handle CoinGecko's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the CoinGecko to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for CoinGecko
Early access
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