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It is becoming increasingly common for customers to use Postgres and ClickHouse together, with Postgres powering transactional workloads and ClickHouse powering analytics. Each is a purpose-built database optimized for its respective workload. A common approach to integrating Postgres with ClickHouse is Change Data Capture (CDC). CDC continuously tracks inserts, updates, and deletes in Postgres an

JSON has become the lingua franca for handling semi-structured and unstructured data in modern data systems. Whether it’s in logging and observability scenarios, real-time data streaming, mobile app storage, or machine learning pipelines, JSON’s flexible structure makes it the go-to format for capturing and transmitting data across distributed systems. At ClickHouse, we’ve long recognized the impo

What is clickhouse-local? # Sometimes we have to work with files, like CSV or Parquet, resident locally on our computers, readily accessible in S3, or easily exportable from MySQL or Postgres databases. Wouldn’t it be nice to have a tool to analyze and transform the data in those files using the power of SQL, and all of the ClickHouse functions, but without having to deploy a whole database server

The best way to use ClickHouse. Available on AWS, GCP, and Azure.