When To Use Bodo
The Bodo platform powers fast, efficient big data processing for Python data teams.
Bodo’s Inferential Compiler
delivers high-performance style computing for data-intensive processing.
Where Bodo Shines
Bodo is best for data processing intense use-cases, as well as with large dataset processing that benefits from parallelized execution.
Ideal Data Characteristics and Use Cases:
Bodo’s linear scaling capability is most noticeable in efforts involving jobs of 100’s of GBs, hundreds of millions of Dataframe rows, and compute times approaching/exceeding 1 hour.
Optimized Python Libraries:
Bodo compiles functions into efficient native parallel binaries, where the operations are optimized by Bodo. Optimized libraries include:
- Machine Learning
- Deep Learning
Basic CPUs (e.g., on-premises, AWS, Google Cloud, Azure). Bodo does not require any special-purpose hardware or networking.