DatriseAI-first ETL

CoinMarketCap to PostgreSQL Integration

AI-first ETL from CoinMarketCap into PostgreSQL. Governed entities, incremental sync, typed landing tables.

How Datrise loads CoinMarketCap into PostgreSQL

Datrise syncs CoinMarketCap's cryptocurrencies, quotes, market caps, trading volumes, exchange listings, and rankings into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

CoinMarketCap: Crypto asset rankings, quotes, and market caps.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How CoinMarketCap entities map to PostgreSQL

CoinMarketCap entityPostgreSQL objectNotes
cryptocurrenciescoinmarketcap_cryptocurrenciesid PK · custom fields → jsonb columns
quotescoinmarketcap_quotesid PK · linked to coinmarketcap_cryptocurrencies
market capscoinmarketcap_market_capsid PK · linked to coinmarketcap_cryptocurrencies
trading volumescoinmarketcap_trading_volumesid PK · linked to coinmarketcap_cryptocurrencies

FAQ

How does Datrise handle CoinMarketCap's custom fields in PostgreSQL?

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

How does the CoinMarketCap to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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