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RapidMiner: Product Overview and Insight

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Bottom Line

RapidMiner may not have the name recognition of AWS or Google, but it is a comprehensive data science platform. It aids organizations in exploring, blending and cleansing data, designing and refining predictive models through machine learning and managing deployments. For businesses looking for a robust, expansive ML toolset, RapidMiner bears exploring.

RapidMiner uses a unified interface to manage various tasks though a graphical drag-and-drop approach. It offers pre-defined machine learning libraries but also incorporates numerous third-party libraries. This includes hundreds of components encompassing machine learning, text analytics, predictive modeling, automation and process control.

This produces a fast classification and regression analysis system for both supervised and unsupervised learning. The solution also supports split and cross-validation methods that improve the accuracy of predictive models. Both Gartner and Forrester rank RapidMiner as a “Leader.” The vendor also earned a Gartner Customer’s Choice 2018 award.

Product Description

RapidMiner approaches data science and machine learning from a holistic perspective and offers numerous tools to tackle myriad tasks. The platform supports all major open source data science formats and provides more than 60 connectors to manage structured, unstructured and various forms of big data.

RapidMiner boasts that it offers more than 1,500 machine learning and data prep functions, and it supports more than 40 files types, including SAS, ARFF, Stata and via URL. It supports NoSQL, MongoDB and Casandra, and its Radoop product extends data environments into the open source Hadoop space.

This makes it possible to generate and re-use existing R and Python code, and combine and recombine existing modules with new extensions and modules. The platform also connects to major cloud storage services such as Amazon S3 and Dropbox. It writes to Qlik QVX or Tableau TDE files.

Overview and Features

User Base

Data scientists, developers, business analysts and citizen data scientists.

Interface

Graphical user interface.

Scripting Languages supported

Python, R and RapidMiner Studio

Formats Supported

More than 40 file types including SAS, ARFF, Stata, and via URL. Provides wizards for Microsoft Excel and Access, CSV, and database connections. Offers access to NoSQL databases MongoDB and Cassandra.

Integration

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

Reporting and Visualization

Built in visualization tools. Extensive logging capabilities.

Pricing

$2,500 per user annually for the small version (100,000 data rows and 2 logical processors), $5,000 per user annually for the medium version (1,000,000 data rows and 4 logical processors) and $10,000 per user annually for unlimited access.

RapidMiner Overview and Features at a Glance:

Vendor and features

RapidMiner

ML Focus

Highly automated ML platform suited for firms aiming to use machine learning broadly.

Key Features and capabilities

Offers more than 1,500 machine learning and data prep functions, and it supports more than 40 files types. Connects to Amazon S3 and Dropbox.

User comments

Among the highest rated data science and ML solutions. Users describe it as powerful and “revolutionary” though there are complaints about the lack of GPU support. 

Pricing and licensing

Tiered pricing ranging from $2,500 per user per year to upwards of $10,000 per user per year.



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