How to load data atomically and keep multiple tables consistent in ClickHouse Cloud without multi-statement transactions, using staging tables and partition-level operations.

Knowledgebase article on how to insert all rows from one table to another.

Learn how to load JSON messages from Apache Kafka directly into a single JSON column in ClickHouse using the Kafka table engine and JSON data type.

Learn how to ingest data from a Kafka topic into ClickHouse using the Kafka table engine, materialized views, and MergeTree tables.

Learn the basics of using the S3 table engine in ClickHouse to ingest and query Parquet files from an S3 bucket, including setup, access permissions, and data import examples.

There are multiple JSON variations among them, but the most commonly used for data ingestion is JSONEachRow. It expects one JSON object per row, each object separated by a newline.