We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

chDB: The Blazing Fast SQL Engine for Data Science

Formale Metadaten

Titel
chDB: The Blazing Fast SQL Engine for Data Science
Serientitel
Anzahl der Teile
131
Autor
Mitwirkende
Lizenz
CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
chDB, powered by the robust ClickHouse engine, is a high-performance in-process SQL engine designed for the Python data ecosystem. It supports direct interaction with databases like MySQL, PostgreSQL, SQLite, and MongoDB; streaming platforms such as Kafka; and key-value stores like Redis. With extensive support for various data sources and formats, chDB is highly adaptable to different data environments. It seamlessly integrates with structured formats like CSV and JSON as well as complex binary formats such as Parquet, Avro, and Arrow, enabling efficient data manipulation and analysis. The engine is ANSI SQL compliant, ensuring broad compatibility with existing SQL codebases and facilitating easy integration into diverse data pipelines. This comprehensive SQL support includes complex querying capabilities, enhancing the engine's utility in sophisticated data analysis tasks. chDB is particularly designed to accommodate the rapid prototyping of applications, allowing developers to transition smoothly and quickly from development to production environments with minimal adjustments. With its deep integration into Python, chDB interacts directly with popular Python libraries such as Pandas, NumPy, and others, streamlining the data science workflow. This integration enables direct data manipulation within Python scripts and notebooks, drastically reducing the need for data movement and conversion, thus accelerating the data analytics process. For organizations and developers leveraging Python, chDB offers an unmatched combination of performance, flexibility, and ease of use, making it an invaluable tool for building efficient, scalable, and robust data-driven applications.