Previously, I’ve benchmarked Bodo using the popular example: The Monte Carlo approximation of Pi. In this post, I wanted to test how Bodo performs on another popular data analytics example benchmark: Word Count of Beer Review.
What if we could improve analytics performance by 1,000x and and reduce aggregate operational expenses costs to 1/10 -- using the programming techniques and hardware already in use today? With our Series A funding, that’s what we at Bodo are committed to doing.
A large Fortune 10 enterprise evaluated Bodo for data engineering workloads in their new data infrastructure. They found that Bodo is much simpler to use and 10x faster than highly optimized Spark with the same cluster setup.
Using only a single core for computation on a dataset with millions or even billions of rows can quickly become a disaster. The good news is Bodo has a solution for data scientists when Pandas does not meet their expectations.