Snowflake to ClickHouse integration
Replicate your Snowflake data into ClickHouse with Weld. Automatically replicate the tables you choose from Snowflake into ClickHouse, keeping your analytics layer up to date and ready for querying.
Your own tables, picked when you set up the sync.
- Extract
- Load
- Keep in sync
- snowflake.Synced
- snowflake.Syncing
- snowflake.Synced
- snowflake.Synced
Trusted by data and AI teams
Why replicate Snowflake to ClickHouse?
Ready for analysis.
Centralizing your Snowflake data in ClickHouse lets you join it with other data sources for cross-platform analytics and deeper insights.
Build reliable dashboards and reports by querying Snowflake data directly in ClickHouse using SQL or your preferred BI tool.
Consolidate data from Snowflake alongside other databases and applications in a single database for a unified analytical layer.
Database replication for analytics
Replicate your Snowflake production data to ClickHouse without impacting database performance. Query historical data without load on your primary database.
Centralized data warehouse
Bring Snowflake data into ClickHouse alongside other sources to create a single source of truth for your organization.
Automated reporting
Replace manual exports and spreadsheet-based reporting with automated pipelines from Snowflake to ClickHouse. Connect BI tools like Looker, Metabase, or Power BI.
What data can you replicate?
From Snowflake to ClickHouse.
Weld syncs the objects the Snowflake connector exposes into ClickHouse, and you choose which tables and fields to include. The connector's docs list what is available.
Ask your agent.
It queries ClickHouse for you.
Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the Snowflake context, finds the tables it needs and runs the query in ClickHouse.
Which Snowflake tables do we have in ClickHouse, and which is the largest?
Looking up what Weld has synced from Snowflake.
Technical considerations.
What to expect.
- Incremental syncing
- Weld uses incremental syncing where supported by the Snowflake API, loading only new and updated records to minimize data transfer and warehouse costs.
- Change data capture
- For Snowflake, Weld can use log-based replication (CDC) to capture inserts, updates, and deletes without querying the entire table on every sync.
- Schema handling
- Weld automatically manages schema changes. If Snowflake adds new fields, they're detected and added to the corresponding ClickHouse tables.
- Data freshness
- Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
- Security
- All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
Common questions.
About Snowflake to ClickHouse.
Start syncing Snowflake to ClickHouse.
Set up your Snowflake data pipeline in minutes. No credit card required. Free for 14 days.