ClickHouse ® vs chDB: let’s talk about embedded ClickHouse ®

ClickHouse® offers two architectural options: a client-server model and chDB, an embedded engine that operates within a Python process, eliminating the need for infrastructure management. chDB, acquired by ClickHouse® in 2024, allows users to run SQL queries directly in their application memory space, providing ClickHouse®'s query speed for local analytics without the complexity of database infrastructure. This makes chDB ideal for use cases like Jupyter notebooks, desktop applications, and edge computing, where SQL analytics are needed without external dependencies. While chDB excels in scenarios requiring minimal setup and infrastructure, it has limitations in handling large datasets and concurrent queries due to memory constraints, lacking the durability and resource isolation of the ClickHouse® server. In contrast, the client-server model supports more robust, scalable solutions with persistent storage and multi-user management, suitable for large-scale production workloads. For users outgrowing chDB's capabilities, Tinybird offers a managed ClickHouse® platform, providing scalable infrastructure with features like automatic scaling and real-time ingestion for more demanding analytics applications.