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RapidMiner

RapidMiner

Overview

What is RapidMiner?

RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based…

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Recent Reviews

TrustRadius Insights

RapidMiner Studio has been widely utilized across various industries for a range of use cases. Users have found success in using …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

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Professional

$7,500.00

Cloud
Per User Per Month

Enterprise

$15,000.00

Cloud
Per User Per Month

AI Hub

$54,000.00

Cloud
Per User Per Month

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://rapidminer.com/pricing

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

RapidMiner Platform Demo: Part 1 - Getting Started with RapidMiner 7.3

YouTube
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Product Details

What is RapidMiner?

RapidMiner is a data science and data mining platform, from Altair since the late 2022 acquisition. RapidMiner offers full automation for non-coding domain experts, an integrated JupyterLab environment for seasoned data scientists, and a visual drag-and-drop designer. RapidMiner’s project-based framework helps to ensure that others can build off their work using visual workflows or automated data science.

RapidMiner Videos

RapidMiner in Action
RapidMiner and OSI Demo
Walk-Through of RapidMiner AI Hub (Formerly RapidMiner Server)
Automated Data Science - Data Preparation in DataMiner

RapidMiner Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews and Ratings

(57)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

RapidMiner Studio has been widely utilized across various industries for a range of use cases. Users have found success in using RapidMiner Studio to create ETL processes for loading BI datamarts with data from operational databases. Additionally, the software has been instrumental in performing data mining tasks such as text processing, image processing, and algorithm data analysis.

Marketing teams have leveraged RapidMiner Studio for predictive analytics in direct mail programs and text mining for call transcripts. The software has also served as a central data science platform for teaching data analytics and machine learning, providing an essential tool for educational purposes. Furthermore, RapidMiner Studio has demonstrated its versatility by being used for real-world analyses in healthcare, retail, manufacturing, and BFSI sectors.

Companies like Aptus Data Labs rely heavily on RapidMiner Studio to deliver their solutions efficiently. The software has proven valuable for fraud analysis in banking and financial industries, claim and travel analytics in manufacturing, and text mining in pharmaceutical firms. Individual analysts have also found success using RapidMiner Studio for analysis and predictive modeling of student-related data.

In addition to these use cases, RapidMiner Studio has been applied to build and test energy usage models for buildings. Risk coverage providers like DisperSurance have utilized the software for optimization, automation, fraud detection, and determining profitable e-commerce strategies. It has also been instrumental in processing data from clients in telecom and banking industries while assisting in modeling machine learning structures.

Moreover, RapidMiner Studio has served as a powerful data organizational tool by enabling users to sort through massive amounts of data and run statistical algorithms efficiently. It has been effectively employed for client churning analysis, client and banker clustering, and market basket analysis. Sales and marketing teams have benefited from its predictive analytics capabilities using CRM data.

The software's versatility extends even further with applications in pattern finding in epilepsy clinical data, protein interaction networks analysis, and gaining insights about various datasets. RapidMiner Studio offers a wide range of machine learning algorithms, making it suitable for text mining, data analysis, and machine learning tasks. Its diverse applications and user-friendly interface have made it a valuable tool for users across industries.

Intuitive User Interface: Several users have praised RapidMiner Studio for its intuitive user interface, which has made it easy for them to learn and navigate the software. The intuitive workflow paradigm has allowed users to quickly grasp the functionality of the software and perform tasks with ease.

Versatile Operators: Many reviewers have highlighted the versatility and power of RapidMiner Studio's operators. These operators are complete and powerful, especially in handling tasks such as data preprocessing, data visualization, and data mining analytics. Users have found these operators to be valuable tools in various areas of analysis.

Extensive Support System: Numerous users have commended RapidMiner Studio for its excellent documentation, countless worked examples, and large user community that provides training support. This extensive support system has been highly valued by users as it offers valuable resources for learning and troubleshooting, ensuring effective utilization of the software's capabilities.

Outdated User Interface: Several users have expressed dissatisfaction with RapidMiner's user interface, stating that it is outdated and not up to the standards of other software like Office or Microsoft.

Difficulties in Finding Key Operators: Some users have reported difficulties in finding key operators within RapidMiner's interface, which has caused frustration and hindered their workflow.

Lack of Documentation for Operators: Many reviewers have mentioned that there is a lack of documentation for several operators in RapidMiner. This makes it challenging for users to understand the impact of these operators on their analysis, leading to confusion and inefficiency.

Users of RapidMiner have provided several recommendations based on their experiences with the tool. The three most common recommendations are as follows:

  1. Provide more support for finding mining algorithms and add Indonesian language support: Many users suggest that RapidMiner should make it easier to locate mining algorithms within the application. Additionally, they recommend adding support for the Indonesian language to cater to a wider audience.

  2. Utilize RapidMiner for various data analysis purposes: Users highly recommend using RapidMiner for different data mining and analysis tasks, including predictive analysis and marketing purposes. They find the tool user-friendly and effective in developing prediction models.

  3. Take advantage of RapidMiner's features and resources: Users recommend exploring RapidMiner's Auto-ML feature, which they consider a significant advancement. They also suggest accessing the extensive training material provided by RapidMiner, taking online classes, and working on hands-on tutorials to gain a competitive edge. Additionally, they emphasize the importance of engaging with sales representatives and utilizing the continuous updates from the pro-active team.

Overall, users find RapidMiner to be an excellent tool for data mining and analysis, particularly for implementing complex machine learning algorithms and improving dataset analysis. They appreciate its wide range of machine learning algorithms, powerful ETL operations, interactive visualizations, and great online support. However, some users suggest improvements such as adding Korean language support and expanding popularity in business settings.

Attribute Ratings

Reviews

(1-18 of 18)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
We use RapidMinerStudio as a data organizational tool. We feed our data into RapidMiner Studio and it helps us create different data trees to sort through the massive amounts of data that we work on in a daily basis. It is very useful as a training toll to familiarize our new hires with the data that we are working with.
David Baltar Boilève | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use RapidMiner to create ETL (Extract, Transform, Load) processes to load our BI datamarts with data from operational databases. We've created complex load processes, and we prepare that data to be fed, and later on, create Business Intelligence dashboards. We also use RapidMiner to perform some data mining with different techniques such as text processing, image processing, and algorithm data analysis (clustering, neuralnet, correlation, etc...)
Mohd Zakree Ahmad Nazri | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use RapidMiner as the central data science platform to teach data analytics and machine learning. We are using RapidMiner for real-world analyses. Currently, to the best of my knowledge, only my department is using RapidMiner for teaching while others are using R, SPSS or WEKA for educating data mining. Our business is in education, and therefore, our primary concern is finding the most effective way of learning analytics – both data handling and algorithms.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
We use RapidMiner to run statistical algorithms on the data and answer questions which are not answered previously. It is currently used only in the business intelligence team in the company. We used RapidMiner Studio to analyze the client churning, client clustering, banker clustering and market basket analysis of the company products.
Mauricio Quiroga-Pascal Ortega | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized

DisperSurance is the radical disruptive substitute for insurance. We don’t sell insurance, we sell “risk coverage”. We have been using RapidMiner in traditional insurance company data to:

1. Identify optimization and automation opportunities in all the insurance processes. Moreover, we had created special extensions for the most important processes.

2. Fraud detection.

3. Determining the most profitable e-commerce strategies for selling policies.

We have been able to design new Risk Coverage products that are as low as 70% cheaper than traditional insurance.

Cyril Joudieh | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I use RapidMiner it to process data from our clients mainly Telecom and Banking and I also use a version of RapidMiner purchased by our business partner at their site for their clients. I use it in my company and no on else and I advise my clients to purchase RapidMiner. I currently don't have employees that use RapidMiner.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
I currently use RapidMinder to do two things. First, to find patterns in Epilepsy Clinical Data. Second, to teach students machine learning tools.

So, in general, I'd say the business problem is research and education. I used it before to find patterns in protein interaction networks analysis. And I've taught several machine learning workshops using RapidMiner as a tool.
Jose Machicao, MSc | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
We are only 5 consultants. We are all using RapidMiner Studio in order to model machine learning structures for our clients. The problem we had before, for instance with Python code, is that it was really difficult for our clients to understand what we were doing exactly. Even when it is actually possible to build up visualization capacities in Python and R, RapidMiner gave us the option to do it so fast and accurately. I would love to see updates which can improve the graphical quality and precision, or prevent some graphical mistakes. For instance, it is very difficult to guess how much is too much when we have so many categories to diagram, sometimes saturates the space and reduces the explainability of the graphs. But still, AutoModel, Feature Engineering and the drag and drop method is wonderful to share our thoughts and discoveries about our clients reality and plans.
Sheetal Sahu | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
ResellerIncentivized
Aptus Data Labs is based out of Bangalore, India. We are a Big Data and Advanced Analytics company, providing consulting and project delivery services & solutions, catering to enterprises of all sizes, across different industries such as Healthcare, Retail & Consumer Industries, BFSI, Manufacturing & Supply Chain.

Since we are into advanced analytics, most of our solutions are delivered using RapidMiner. As a result of which, most of the employees in the organization use RapidMiner. We have dedicated developers for building extensions for RapidMiner as well. Some of the business problems built using RapidMiner are:

  1. Fraud analysis for Banking and Financial industries
  2. Claim and travel analytics for a manufacturing firm
  3. Text mining and text analytics for a pharmaceutical firm and many other organizations
  4. Optimization for e-commerce and manufacturing firm
  5. Supply chain management for manufacturing
  6. Supply chain planning and scheduling for oil and gas companies
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We utilize RapidMiner Studio in our analytics and IT department to assist our sales and marketing teams with predictive analytics using our CRM data. Predicting which opportunities contain properties and scenarios similar to winning opportunities from the past allows our sales teams to effectively focus on the ripe opportunities for wins soon and develop those opportunities which will need more time to mature through the sales process.
Rebecca T Barber, MBA, PHD | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Individual analysts are using it to do analysis and predictive modeling of student-related data. The organization has other tools available, but RapidMiner allows for a nice shallow learning curve. Additionally, RapidMiner is being taught in at least one online program with the intention of spreading it to other institutions and departments.
Score 10 out of 10
Vetted Review
Verified User
Incentivized

My introduction to RapidMiner Studio began in 2014 when I decided to write a second edition of my data mining textbook. Although I was not familiar with RapidMiner Studio, I knew it to be a popular tool for data mining and analytics. My initial intention was to learn enough about RapidMiner Studio to provide the reader with an example or two of how it can be used. It soon became clear that I would use RapidMiner Studio for the majority of the tutorials and demonstrations in my book.

My textbook “Data Mining A Tutorial-Based Primer 2nd edition” contains 14 chapters two of which are devoted to RapidMiner Studio. Five additional chapters contain one or several data mining tutorials that use RapidMiner Studio 7. Here is a link to preview the text. https://www.crcpress.com/978149876397

Kamesh Emani | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
It's used by the information technology department. We have used logistic regression algorithm in our company in order to calculate a health risk factor based on different attributes from health care data. We accessed HL7 Hospital Data in SQL Server Management System and wrote queries to retrieve the required fields. We used a RapidMiner Data Mining Tool to perform predictive analysis on the data. We created a web form using HTML 5, CSS 3, Bootstrap and JavaScript which takes input of factors and predicts the risk factor.

Our business problem is to predict whether a member is having a high chance of coming to the hospital based on different factors like age, sex, zip code, marital status, the number of visits, diagnosis code etc.
August 03, 2016

RapidMiner Studio

Score 8 out of 10
Vetted Review
Verified User
Incentivized
I personally used RapidMiner for one of the courses I had. We used it to gain more insights about the data that we had at hand. It allowed us to do a number of things like text mining, data analysis and machine learning. It did have a lot of machine learning algorithms compared to some other softwares.
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