Easy Point and Click Platform for Analytics and Data Preparation
Data mining and big data analytics will create strategic advantages, but only if you can leverage your data quickly and economically. This means getting the best use possible from inexpensive commodity hardware. It also means making analytics model development accessible to data analysts and data scientists, not just programmers. Big data analytics needs to be easy, but there can be no compromises on scalability, compute time or ability to deploy analytics on multiple platforms.
ParAccel Hadoop Analytics delivers on the promise of no compromises, with a single platform for end-to-end data access, transformation, analysis, visualization and delivery. Hadoop Analytics eliminates memory constraints, as well as the need for data movement into specific data stores before analytics are run. Now data scientists and business analysts can transform, cleanse and analyze terabytes of data into actionable insights at record-breaking speed on commodity hardware. Hadoop Analytics can handle both data streams and data stores of various types, including Hadoop (HDFS and HBase).
We believe that speed to value is the missing link in most big data analytics software. Lots of products advertise fast data crunching, but rapid model prototyping and iteration are even more essential to getting the best answers than final execution speed. Getting the accurate answers you need when you really need them is the key.
Get it faster. Prep it faster. Model it faster. Deploy it faster. Execute it faster.