DatriseAI-first ETL

CoinGecko to Neon Integration

AI-first ETL from CoinGecko into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads CoinGecko into Neon

Datrise syncs CoinGecko's coins, market prices, market caps, trading volumes, exchanges, and price history into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

CoinGecko: Cryptocurrency prices and market data.

Neon: Serverless Postgres destination with branching and autoscaling.

How CoinGecko entities map to Neon

CoinGecko entityNeon objectNotes
coinscoingecko_coins_coinsid PK · custom fields → jsonb columns
market pricescoingecko_coins_market_pricesid PK · linked to coingecko_coins_coins
market capscoingecko_coins_market_capsid PK · linked to coingecko_coins_coins
trading volumescoingecko_coins_trading_volumesid PK · linked to coingecko_coins_coins

FAQ

How does Datrise handle CoinGecko's custom fields in Neon?

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 Neon types.

How does the CoinGecko to Neon sync stay up to date?

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

Related pipelines

Early access

Connect CoinGecko to Neon the easy way

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