Combine the power of highly advanced algorithms, the freedom of open source, and truly scalable in-memory processing for big data on one or many nodes.
Fast & Accurate
The responsiveness of in-memory processing and the ability to run fast serialization between nodes and clusters are combined—so you can support the size requirements of your large data sets.
Fine-Grain distributed processing on big data at speeds up to 100x faster is done with fine-grain parallelism, which enables optimal efficiency, without introducing degradation in computational accuracy.
EASY TO USE
Get started quickly using H2O’s intuitive web-based Flow GUI or familiar programming environments. Deploy POJOs and MOJOs, score new data for accurate predictions in any environment.