ClickHouse to Neon Integration

How Datrise loads ClickHouse into Neon

Datrise syncs ClickHouse's tables, rows, partitions, materialized views, table schemas, and merge parts 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

ClickHouse: Column-oriented database for real-time analytics.

Neon: Serverless Postgres destination with branching and autoscaling.

How ClickHouse entities map to Neon

ClickHouse entity	Neon object	Notes
tables	`clickhouse_tables`	id PK · custom fields → jsonb columns
rows	`clickhouse_rows`	id PK · linked to clickhouse_tables
partitions	`clickhouse_partitions`	id PK · linked to clickhouse_tables
materialized views	`clickhouse_materialized_views`	id PK · linked to clickhouse_tables

FAQ

How does Datrise handle ClickHouse'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 ClickHouse 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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