ClickHouse to Microsoft SQL Server Integration
AI-first ETL from ClickHouse into Microsoft SQL Server. Governed entities, incremental sync, typed landing tables.
How Datrise loads ClickHouse into Microsoft SQL Server
Datrise syncs ClickHouse's tables, rows, partitions, materialized views, table schemas, and merge parts into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.
Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.
Ideal for Microsoft-stack analytics and Power BI Import models.
Endpoints
ClickHouse: Column-oriented database for real-time analytics.
Microsoft SQL Server: Microsoft relational DB with enterprise features.
How ClickHouse entities map to Microsoft SQL Server
| ClickHouse entity | Microsoft SQL Server object | Notes |
|---|---|---|
| tables | clickhouse_tables | id PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?
Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.
How does the ClickHouse to Microsoft SQL Server sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.
Related pipelines
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Early access
Connect ClickHouse to Microsoft SQL Server the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.