RapidMiner: Product Assessment and Perception




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Backside Line

RapidMiner would possibly not have the title popularity of AWS or Google, however this can be a complete information science platform. It aids organizations in exploring, mixing and cleaning information, designing and refining predictive fashions via system finding out and managing deployments. For companies searching for a strong, expansive ML toolset, RapidMiner bears exploring.

RapidMiner makes use of a unified interface to control more than a few duties although a graphical drag-and-drop way. It provides pre-defined system finding out libraries but in addition contains a large number of third-party libraries. This comprises loads of parts encompassing system finding out, textual content analytics, predictive modeling, automation and procedure keep watch over.

This produces a quick classification and regression research machine for each supervised and unsupervised finding out. The answer additionally helps cut up and cross-validation strategies that support the accuracy of predictive fashions. Each Gartner and Forrester rank RapidMiner as a “Chief.” The seller additionally earned a Gartner Buyer’s Selection 2018 award.

Product Description

RapidMiner approaches information science and system finding out from a holistic point of view and provides a large number of equipment to take on myriad duties. The platform helps all main open supply information science codecs and offers greater than 60 connectors to control structured, unstructured and more than a few varieties of giant information.

RapidMiner boasts that it provides greater than 1,500 system finding out and information prep purposes, and it helps greater than 40 recordsdata varieties, together with SAS, ARFF, Stata and by means of URL. It helps NoSQL, MongoDB and Casandra, and its Radoop product extends information environments into the open supply Hadoop area.

This makes it conceivable to generate and re-use present R and Python code, and mix and recombine present modules with new extensions and modules. The platform additionally connects to main cloud garage services and products comparable to Amazon S3 and Dropbox. It writes to Qlik QVX or Tableau TDE recordsdata.

Assessment and Options

Consumer Base

Knowledge scientists, builders, trade analysts and citizen information scientists.

Interface

Graphical consumer interface.

Scripting Languages supported

Python, R and RapidMiner Studio

Codecs Supported

Greater than 40 document varieties together with SAS, ARFF, Stata, and by means of URL. Supplies wizards for Microsoft Excel and Get admission to, CSV, and database connections. Provides get admission to to NoSQL databases MongoDB and Cassandra.

Integration

Reinforce for all JDBC database connections together with Oracle, IBM DB2, Microsoft SQL Server, MySQL, Postgres, Teradata, Ingres, VectorWise, and others.

Reporting and Visualization

Inbuilt visualization equipment. In depth logging functions.

Pricing

$2,500 according to consumer yearly for the small model (100,000 information rows and a couple of logical processors), $five,000 according to consumer yearly for the medium model (1,000,000 information rows and four logical processors) and $10,000 according to consumer yearly for limitless get admission to.

RapidMiner Assessment and Options at a Look:

Dealer and contours

RapidMiner

ML Center of attention

Extremely automatic ML platform suited to companies aiming to make use of system finding out widely.

Key Options and functions

Provides greater than 1,500 system finding out and information prep purposes, and it helps greater than 40 recordsdata varieties. Connects to Amazon S3 and Dropbox.

Consumer feedback

A few of the best possible rated information science and ML answers. Customers describe it as robust and “innovative” although there are court cases in regards to the loss of GPU strengthen. 

Pricing and licensing

Tiered pricing starting from $2,500 according to consumer according to 12 months to upwards of $10,000 according to consumer according to 12 months.

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