PySpark vs Ibis

PySpark is the Python API for Apache Spark, the industry standard for large-scale distributed data processing. It allows users to process petabytes of data across clusters of machines, making it the backbone of most enterprise big data platforms. While it has a steeper learning curve and higher operational overhead than local libraries, its ability to handle massive, complex ETL jobs and integrate...

Ibis is a Python library that provides a unified, pandas-like interface for data manipulation across multiple backends, including DuckDB, BigQuery, Snowflake, and PostgreSQL. Its goal is to allow users to write code once and execute it on any backend, abstracting away the differences between SQL dialects and local processing engines. Ibis is an excellent choice for data engineers who need to build...