Microsoft SQL Server to ClickHouse Integration
AI-first ETL from Microsoft SQL Server into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft SQL Server into ClickHouse
Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Microsoft SQL Server: Microsoft SQL Server transactional databases.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Microsoft SQL Server entities map to ClickHouse
| Microsoft SQL Server entity | ClickHouse object | Notes |
|---|---|---|
| tables | mssql_sql_server_tables | id PK · custom fields → JSON or Map columns |
| rows | mssql_sql_server_rows | id PK · linked to mssql_sql_server_tables |
| schemas | mssql_sql_server_schemas | id PK · linked to mssql_sql_server_tables |
| indexes | mssql_sql_server_indexes | id PK · linked to mssql_sql_server_tables |
FAQ
How does Datrise handle Microsoft SQL Server's custom fields in ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Microsoft SQL Server to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
Related pipelines
More destinations for Microsoft SQL Server
- Microsoft SQL Server → DuckDB
- Microsoft SQL Server → Amazon Athena
- Microsoft SQL Server → Amazon S3 Data Lake
- Microsoft SQL Server → Azure Data Lake Storage
- Microsoft SQL Server → Azure Synapse
- Microsoft SQL Server → Spreadsheets
- Microsoft SQL Server → Airtable
- Microsoft SQL Server → CSV Files
- Microsoft SQL Server → MongoDB
- Microsoft SQL Server → Supabase
- Microsoft SQL Server → Neon
- Microsoft SQL Server → PlanetScale
Early access
Connect Microsoft SQL Server to ClickHouse the easy way
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