100% open source, fully distributed in-memory machine learning platform with linear scalability
- Best of Breed Open Source Technology –Enjoy the freedom that comes with big data science powered by open source technology.
- Easy-to-use WebUI and Familiar Interfaces –Set up and get started quickly using either H2O’s intuitive web-based Flow GUI or familiar programming environments like R, Python, Java, Scala, JSON, and through our powerful APIs.
- Data Agnostic Support for all Common Database and File Types –Easily explore and model big data from within Microsoft Excel, R Studio, Tableau and more. Connect to data from HDFS, S3, SQL and NoSQL data sources.
- Massively Scalable Big Data Munging and Analysis –H2O Big Joins performs 7x faster than R data.table in a benchmark, and linearly scales to 10 billion x 10 billion row joins.
- Real-time Data Scoring –Rapidly deploy models to production via plain-old Java objects (POJO), model-optimized Java objects (MOJO) or REST API