Treffer: DuckDB: Speeding Up In-Process Analytics with Python.

Title:
DuckDB: Speeding Up In-Process Analytics with Python.
Source:
Open Source For You; Jan2026, Vol. 14 Issue 3, p29-32, 4p
Database:
Complementary Index

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The article focuses on DuckDB, an open-source SQL database optimized for analytical workloads that integrates seamlessly with Python. DuckDB is designed for in-process execution, allowing users to perform fast and efficient analytics directly within their applications without the need for external infrastructure. It excels in handling large datasets through its columnar storage and vectorized execution, making it more suitable for complex queries compared to traditional databases like SQLite. The article also highlights DuckDB's ease of installation, compatibility with various data formats, and its advantages in data analysis workflows, particularly in data science and ETL processes. [Extracted from the article]

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