Released this last week, Skytree offers both local as well as cloud-based data analytics.
From the website:
Skytree Server can accurately perform machine learning on massive datasets at high speed.
In the same way a relational database system (or database accelerator) is designed to perform SQL queries efficiently, Skytree Server is designed to efficiently perform machine learning on massive datasets.
Skytree Server’s scalable architecture performs state-of-the-art machine learning methods on data sets that were previously too big for machine learning algorithms to process. Leveraging advanced algorithms implemented on specialized systems and dedicated data representations tuned to machine learning, Skytree Server delivers up to 10,000 times performance improvement over existing approaches.
Currently supported machine learning methods:
- Neighbors (Nearest, Farthest, Range, k, Classification)
- Kernel Density Estimation and Non-parametric Bayes Classifier
- Linear Regression
- Support Vector Machines (SVM)
- Fast Singular Value Decomposition (SVD)
- The Two-point Correlation
There is a “free” local version with a data limit (100,000 records) and of course the commercial local and cloud versions.