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?

How to parallelize your LLM inference calls with Bodo

Large Language Models (LLMs) can be computationally intense and inference speed can quickly become a bottleneck—especially when you're sending multiple queries and waiting for responses. Slow response times don’t just lead to delays; they make real-time applications impractical, drive up compute costs, and create scalability challenges...

Bodo vs. Numba: Choosing the Right Tool for High-Performance Python

When it comes to efficient number crunching in Python, two powerful tools are Bodo and Numba. Both aim to speed up Python code using compilation techniques. While there is some overlap in the domains they support, there are notable performance differences, and each has unique areas of support that the other does not...

Bodo ♥️ PyIceberg: Scalable IO with the Simplicity of Python

Apache Iceberg is an open table format that provides simple, reliable, and scalable tables that are interoperable across various data tools such as compute engines. At Bodo, we believe that Iceberg is the future of data warehouse and data lake solutions due to its flexibility and open-source backing. However, using Iceberg at a large scale often requires Java-based tools which are difficult for developers to use and maintain.