Bodo Engine

Bodo Engine is an open-source distributed compute engine for running Python, Pandas, and SQL workloads across multiple CPUs and GPUs. It is designed for data teams that need to scale dataframe processing without rewriting established Python workflows for a separate distributed framework.

The engine provides a Pandas-compatible interface through Bodo DataFrames, allowing users to replace a standard Pandas import with a Bodo import in supported workloads. It uses just-in-time compilation and Message Passing Interface (MPI)-based parallel execution to distribute processing across available compute resources. Bodo also includes BodoSQL, a SQL engine integrated with Python workflows.

Bodo Engine supports large-scale data processing, including workloads that exceed a single machine’s memory. It includes streaming execution, scalable I/O, query optimization, filter pushdown, and column pruning. Supported data sources and formats include Apache Iceberg, Snowflake, Parquet, CSV, and JSON.

The platform is suited to data engineers, analytics engineers, data scientists, and Python developers who need to scale transformations, dataframe workloads, and SQL analysis on local systems or distributed infrastructure. Bodo Engine is distributed under the Apache License 2.0.