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?

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.

Building a Native GPU Iceberg Writer for Apache Iceberg

Here is a look at the internals of how we built our native GPU Iceberg writer. By building Iceberg write support directly into Bodo’s native execution engine, the result is not simply a faster Parquet write path—but a GPU-native Iceberg sink that preserves the throughput of the broader distributed pipeline. 

Bodo vs Dask-CuDF: TPC-H on Distributed GPU clusters

Benchmarking all 22 TPC-H queries on a multi-node GPU cluster and show an overall speedup of more than 3× over Dask-CuDF across the full benchmark suite. These results highlight the advantages of an MPI-based SPMD execution model for communication-intensive analytical workloads.