Bodo + Snowflake

Bodo.ai: Faster, More Efficient Large-Scale Python Data Analytics

A Case Against Tiny Tasks in Iterative Analytics

Simplify and Accelerate Data Science at Scale with Bodo and Intel

Performance and Cost Evaluation of Bodo vs. Spark, Dask, and Ray

The Complete Value Guide to Bodo

Leveraging Iceberg Puffin Files to Accelerate Queries

Bodo Platform Walkthrough

Introducing Bodo

What is Bodo?

Fully Open Source Trustworthy Text-to-Analytics Stack for Iceberg Data with PyDough and BodoSQL

We demonstrate the first fully open source text-to-analytics stack for Apache Iceberg data in a simple workflow. This stack brings together three open source technologies: PyDough, BodoSQL, and Apache Iceberg, an open table format for managing large datasets. Together, they provide the foundation for natural language analytics that is not only easy to use, but also verifiable, performant, and scalable.

New Interactive BodoSQL for the AI Era

We introduce the latest version of BodoSQL, designed for high-performance interactive query execution on massive datasets. Available in the BodoSQL 2026.6 release, this update introduces a new C++-based execution backend that dramatically reduces query startup latency while preserving the scalability and performance that BodoSQL is known for.

Building a Native GPU Reader for Apache Iceberg

Here is a deep look into how we designed our GPU-native Iceberg source operator, the architectural tradeoffs we weighed, and the specific edges we encountered while making the storage layer safe for hardware acceleration.