DatriseAI-first ETL

Coingecko Coins Neon

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

How Datrise loads Coingecko Coins into Neon

Datrise syncs Coingecko Coins's records, events, and configuration objects 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 Coins: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Coingecko Coins entities map to Neon

Coingecko Coins entityNeon objectNotes
recordscoingecko_coins_recordsid PK · custom fields → jsonb columns
eventscoingecko_coins_eventstimestamptz events
configuration objectscoingecko_coins_configuration_objectsid PK · linked to coingecko_coins_records

FAQ

How does Datrise handle Coingecko Coins'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 Coins 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

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