Big Data

Big Data integrations cover the common patterns for getting files into analytics and warehouse platforms. You stage files in cloud storage, and the data platform ingests them from there.

Use this section when you want a repeatable, governed path from operational file drops to analytical workloads, including CSV, JSON, and parquet drops, scheduled feeds, and partner-delivered datasets.

To integrate with Snowflake, use shared cloud storage (S3, Azure, or GCS) as the handoff point between Files.com and Snowflake loading jobs. ClickHouse and Databricks connect the same way, reading files directly from Files.com folders through their native S3-compatible connectors.