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IntegrationsClickHouse Data Warehouse

ClickHouse Data Warehouse

Work in progress: This is the recommended path. A detailed setup guide will follow. Questions or requirements? Contact support or open a GitHub issue.

Export Langfuse data to ClickHouse to analyze AI activity alongside business and product data โ€” for example, join usage and cost with customer accounts, or relate agent quality to product outcomes.

Write Parquet files to Amazon S3 with Langfuse's blob storage export, then load them into ClickHouse Cloud with an S3 ClickPipe.

  1. Export from Langfuse. In Settings โ†’ Integrations โ†’ Blob Storage, configure an S3 destination and choose Parquet. See Export to blob storage for setup and availability.
  2. Create an S3 ClickPipe. Point ClickHouse Cloud at the exported files and enable continuous ingestion. See the S3 ClickPipe setup guide.
  3. Analyze in ClickHouse. Use the export field reference when joining Langfuse data with your other datasets.

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