RAPIDMINER in IoT Analytics

RAPIDMINER
Online
Massachusetts, USA
2006
$11MN to $50MN
47
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RAPIDMINER USP

RapidMiner has been seamlessly integrated and enhanced for developing ML models. It helps organizations in designing models with the help of a visual workflow designer or automated modeling. The platform collaborates multiple datasets together and creates new columns using a simple expression editor. It automatically creates new features from data to enhance model accuracy. The platform also allows organizations to execute data prep and ETL inside databases to keep their data optimized for advanced analytics. Request RAPIDMINER Pricing to get more information.

Summary

RapidMiner collates the entire data science lifecycle from data preperation to ML to predictive model operations. The platform offers a Visual Workflow Designer, which enhances productivity, quickens and automates the development of predictive models. The platform's Team Collaboration features handles and shares all work and data science artifacts in a centralized repository. RapidMiner Turbo Prep enables organizations to prepare data for predictive modeling and interactively access all the data to evaluate its health, completeness, and quality. RapidMiner Auto Model makes use of automated ML and best practices to create predictive models in five mouse clicks.

360 Quadrants

Strengths and Weaknesses
  • +12 Directly
  • +7 Unstructured Data
  • +8 Hosted / On-Cloud
  • +7 On-Premise
  • +10 Descriptive Analytics
  • +11 Diagnostics Analytics
  • +12 Predictive Analytics
  • +9 Databases
  • +7 Programming Language (such as R, Python, Java)
  • +12 Remote Support
  • +8 Operations/Production
  • +9 Product Development
  • +10 Subscription / Licensing
  • +8 Charts and Graphs
  • +7 Customizable Dashboard
  • +8 Data Quality
  • +14 Data Visualization
  • +13 Image
  • +10 Master Data Management (MDM)
  • +5 Robust Reporting
  • -10 Batch Data Processing
  • -11 Real-time Streaming Data Processing (Data-in-Motion)
  • -13 Through Partners / Third-Party Vendors
  • -6 Semi-Structured Data
  • -5 Structured Data
  • -13 Prescriptive Analytics
  • -8 Microsoft Corporation Office (including Spreadsheet)
  • -11 On-Site Support
  • -10 Servers (such as Hadoop, Apache)
  • -11 Any other Integration type
  • -11 Customer Service
  • -6 Finance
  • -9 Full Time Equivalent
  • -7 Human Resources (HR)
  • -5 Marketing
  • -11 Per User Basis
  • -14 Sales
  • -10 Supply Chain
  • -9 Data Profiling
  • -11 Data Virtualization
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