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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
RapidMiner Studio was very helpful when we were training our new hires as it allowed them to play around with the data and help us pull the information that we need and it gives them a better understanding of what we really do. Some areas it is less appropriate are when we are trying to work on different data sets and other data rapid miner takes up a lot of processing power and you are unable to do multitasking unless you have a really expensive computer.
David Baltar Boilève | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
RapidMiner is really fantastic to perform fast ETL processes and work on your data as you want, no matter what is the source. You will really save a lot of time when you learn how to use it. You can create mining analysis with several algorithms, and thanks to add-ons, you can apply a lot of techniques. It will not replace a business intelligence dashboard but it allows to create great datamarts for your BI tools.

One negative thing is that It's no easy to share your outputs.
Mohd Zakree Ahmad Nazri | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
RapidMiner has been used as a teaching aid in my classes, and I found it effective in educating data mining and analytics students. RapidMiner is well suited for any descriptive and predictive analytics because it has a pervasive set of machine learning algorithms, i.e. classification, regression, clustering, association rule mining, and other applications such as text mining. However, RapidMiner Studio is not yet designed for prescriptive analytics (i.e. solving optimization problem) such as solving scheduling, logistic route planning or bin packing problems. It has a great facility to find an optimal parameter for an algorithm but not yet for solving automatic scheduling and planning problems.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
RapidMiner Studio is a great starting point if you want your organization to try and start using data science or statistics. It is easy to use and self explanatory. It also has some great built in algorithms. The Recommendations feature using crowd sourcing is amazing, and will guide with next steps in the process. It is more suitable for smaller data sets. We haven't tried with larger data sets yet, so try it beforehand if you want to use large data on it.
Mauricio Quiroga-Pascal Ortega | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
WELL SUITED FOR:
  1. For creating predictive models.
  2. Excellent for cleaning and preparing data for a better modeling process.
  3. Most of the common ML algorithms can be integrated easily.
  4. Is “The Tool” when you need rapid results and the data is not extremely large or complex.

LESS APROPIATE FOR:
  1. When you need cooperation between multiple developers in separate geographical places.

  2. There’re much better tools for Data visualization.

  3. When a project uses lots of memory.

Score 10 out of 10
Vetted Review
Verified User
Incentivized
Well suited: for data mining and general machine learning tasks, teaching machine learning, creating machine learning models.

Not well suited: if the user is beginning to learn machine learning, it would be advisable to get some general understanding before using the tool.
Sheetal Sahu | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
ResellerIncentivized
RapidMiner is the best tool to build models on textual data. It is rich in ML algorithms and reduces the need to manually tune the parameters. It automatically optimizes them, thus providing a better solution. RapidMiner again extends great capability for data preparation, its insane connections to almost every data source pulls in the data easily into one environment. And it can comfortably perform data cleaning and process tasks over that.

RapidMiner is not so good with image, audio or video data. These data points cannot be used directly in their raw form. They must be transformed into some intermediate form for performing analytics over it. Moreover, there are no connectors to directly pull data from their varied sources. For example, we don't have a connector to read audio data directly from a switch and then convert it to text (although Google speech API is available for audio to text conversion.)
Rebecca T Barber, MBA, PHD | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Well suited
  • Desktop analysis
  • Exploratory data analysis
  • Predictive modeling
  • Modeling that requires more than one tool
  • Data preparation
  • Workflow design and development
  • Quick turn-around development
Less well suited:
  • Multiple concurrent developers
  • Bleeding edge algorithms (they try, but the release cycle means that there is a lag)
  • Obscure or less common analyses

Score 10 out of 10
Vetted Review
Verified User
Incentivized
RapidMIner Studio is very useful as a classroom tool for teaching students about data analytics. RapidMiner's workflow paradigm offers the user a very powerful analytics tool. Beginning students or students with limited computer experience may initially find the workflow paradigm difficult.
Kamesh Emani | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized

Suited For:

  • Small to average data sets: Best suited for a moderate-sized data set
  • Good Data Modelling Algorithm Implementation: Can implement most of the possible machine learning algorithms in rapidminer
  • Data Cleaning & Data Transformation: RapidMiner is also the best ETL tool which gives good competition to Pentaho and Informatica

Less Appropriate For
  • Big Data: When I tried using a big data IDE it gets stuck and takes a lot of time to fix it.
  • Data Visualization
August 03, 2016

RapidMiner Studio

Score 8 out of 10
Vetted Review
Verified User
Incentivized
RapidMiner can perform in database mining. No need to write code whatsoever but at the same time you can change the parameters at your own will. It can be a challenge for new users at times.
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