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A visual tool for designing data preparation and analytics models. Design once, iterate, refine and deploy complete workflows from read to visualize, all from the same click, drag and configure interface. Once designed, work flows automatically scale up as data sets grow.
For: Data analysts and data scientists
Read more about Actian RushAnalytics
Free 30 Day Trial
Includes: RushAnalytics Enterprise = KNIME user interface + DataRush parallel execution engine + parallel optimized analytics and data preparation operators
(Limited to 2 simultaneous execution streams)
Free Trial VM Image
Includes: RushAnalytics Enterprise + sample work flows & sample data on a virtual machine image, ready to execute
Enterprise
Request Information and Trial
Includes: RushAnalytics Desktop + scripting interface and server & cluster support - unlimited simultaneous execution streams
Hadoop was created to store and process massive amounts of data, but first you have to get that massive data into the Hadoop File System. RushLoader for Hadoop solves the problem in the most efficient, economical way possible.
Powered by the unmatched parallel performance speed of the DataRush engine, and built in the award-winning, easy-to-use open source KNIME interface, Rushloader for Hadoop gets your data into Hadoop fast.
And it's FREE.
Read more about Actian RushLoader
RushLoader includes the KNIME open source user interface with DataRush high speed reader, writer, and filtering operators for Hadoop (HDFS) as well as for standard data sources such as flat files, relational databases, log files and streaming data.
This analytics engine is a parallel and scalable software platform for processing huge data sets at very high speeds. Designed for speed and efficiency, DataRush reduces development time and cost by abstracting away many of the complexities of parallel programming. DataRush analytics jobs can run standalone on a single server, on a cluster, on premises or in the cloud (and leverage Hadoop if present). Furnished as a set of Java libraries and an API, DataRush can be called from any JVM language, including Java, JavaScript, JRuby, Python and Scala.
For: Software developers building high data throughput or compute intensive applications
Read more about Actian DataRush