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RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development.
Category
Predictive Analytics Software
Features
• Unified Platform
• Visual Workflow Design
• Breadth of Functionality
• Open Source Innovation
• Broad Connectivity
• Data Science at Every Scale
License
Proprietary
Price
Contact for Pricing
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
Company
RapidMiner
URL
https://rapidminer.com
What is best?
• Unified Platform
• Visual Workflow Design
• Breadth of Functionality
• Open Source Innovation
• Broad Connectivity
• Data Science at Every Scale
What are the benefits?
• Visual workflow design
• Breadth of functionality
• Open source innovation
• Broad connectivity
• Data science at every scale
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
9.4
6.4
Features & Functionality
9.6
7.1
Advanced Features
9.4
7.9
Integration
9.5
8.7
Performance
9.5
8.2
Customer Support
9.6
7.4
Implementation
7.3
Renew & Recommend
7.7
Bottom Line
RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development.
9.5
Editor Rating
7.5
Aggregated User Rating
28 ratings
You have rated this
RapidMiner Studio is a visual design environment for rapidly building complete predictive analytic workflows. It provides a deep library of machine learning algorithms, data preparation and exploration functions, and model validation tools to support all your data science projects and use cases.
Data science teams can easily re-use existing R and Python code, and add new functionality via a large marketplace of pre-built extensions. RapidMiner provides an integrated environment for machine learning, data mining, text mining, predictive analytics and business analytics and is used for business and industrial applications as well as for research, education, training, rapid prototyping, and application development.
RapidMiner supports all steps of the data mining process including results visualization, validation and optimization.RapidMiner uses a client/server model with the server offered as Software as a Service or on cloud infrastructures.
RapidMiner provides data mining and machine learning procedures including: data loading and transformation, data preprocessing and visualization, predictive analytics and statistical modeling, evaluation, and deployment.
RapidMiner is written in the Java programming language. RapidMiner provides a GUI to design and execute analytical workflows. Those workflows are called “Process” in RapidMiner and they consist of multiple “Operators”. Each operator is performing a single task within the process and the output of each operator forms the input of the next one.
The engine can be called from other programs or used as an API. Individual functions can be called from the command line. RapidMiner provides learning schemes and models and algorithms from Weka and R scripts that can be used through extensions.
RapidMiner functionality can be extended with additional plugins. The Rapid Miner Extensions marketplace provides a platform for developers to create data analysis algorithms and publish them to the community.
ADDITIONAL INFORMATION Very easy plug and play analytics for datasets and identify interesting trends quickly. The analytical solution is through template-based frameworks that speed delivery and reduce errors by nearly eliminating the need to write code.
Community and data discovery, to experiment around data and predictions
What are the benefits?
Pay for licences, operator taxonomy, help files content
User Role
User Industry
ADDITIONAL INFORMATION RapidMiner is good. It is easy to learn and the tool is very good for mid-level data savvy analysts.You need to do the data processing and also it has limitation on how much data you can import.
Future-proof open source data science platform. No coding required.
Company size
Enterprise (>1001)
User Role
IT Support
User Industry
Construction
Rating
Ease of use8
RapidMiner builds a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Features & Functionality8.9
Bubble charts and 3-D scatter plots. Association mining, frequent item set and similarity computation.
Advanced Features8.4
Integration8.9
Supports plain texts, HTML, PDF, RTF. Open and extensible for easy integration with existing applications, data, and programming languages.
Training 8.9
Customer Support8.9
Implementation8.7
ADDITIONAL INFORMATION One platform, one user interface, one system, support the complete workflow from data prep, through model deployment to ongoing model management.
Good plug and play analytics
Best to use plug and play. Easy to learn.
Limitations with data import
Medium (50 to 1000)
End User
Health care
ADDITIONAL INFORMATION
Very easy plug and play analytics for datasets and identify interesting trends quickly. The analytical solution is through template-based frameworks that speed delivery and reduce errors by nearly eliminating the need to write code.
Community and data discovery, to experiment around data and predictions
Pay for licences, operator taxonomy, help files content
ADDITIONAL INFORMATION
RapidMiner is good. It is easy to learn and the tool is very good for mid-level data savvy analysts.You need to do the data processing and also it has limitation on how much data you can import.
Overall it is good for plug and play.
Future-proof open source data science platform. No coding required.
Enterprise (>1001)
IT Support
Construction
RapidMiner builds a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Bubble charts and 3-D scatter plots. Association mining, frequent item set and similarity computation.
Supports plain texts, HTML, PDF, RTF. Open and extensible for easy integration with existing applications, data, and programming languages.
ADDITIONAL INFORMATION
One platform, one user interface, one system, support the complete workflow from data prep, through model deployment to ongoing model management.