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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

(1-1 of 1)
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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...)
  • RapidMiner is really fast at reading all kinds of databases. We read and merge databases like SQL Server, Informix, MySQL, and Oracle. Configuring access is easy, some drivers are inbuilt, but it's not difficult to find new java drivers to allow RapidMiner to connect to other databases.
  • Performing all kinds of transformations, calculations (date, percentages...), joins, and filters without coding. We have several different databases and this makes my life a lot easier. Knowing that this part is 80% of analyst work, you know that you can work more on the analyses itself and not on cleaning and preparing data.
  • You can clone transformations to reuse on new analyses, so you save a lot of time. There's a lot of add-ons to make different things (text, image analysis, recommender systems, etc).
  • Training is easy, the tool is intuitive and there's a lot of videos on the internet. The community is very active.
  • Sharing RapidMiner Studio analysis is not easy. You may think that the RapidMiner Server does that work but no. It's more automated job oriented or useful to run models on a web site. If you need to use it for Business Analytics dashboards, this is not the tool. It's more a backstage tool for analyst. Some charts are good but other not so much.
  • The free edition allows you to work with 10,000 rows, but if you need more, it's not cheap (100,000 rows - 2,500 USD/year, 1,000,000 rows - 5,000 USD/year).
  • The commercial team is not very reactive. I've asked for a RapidMiner Education Program and Rapidminer Server quotation with no answer. I guess that's because they were changing from an opensource company model to a more commercial one.
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.
Platform Connectivity (4)
75%
7.5
Connect to Multiple Data Sources
100%
10.0
Extend Existing Data Sources
100%
10.0
Automatic Data Format Detection
100%
10.0
MDM Integration
N/A
N/A
Data Exploration (2)
90%
9.0
Visualization
100%
10.0
Interactive Data Analysis
80%
8.0
Data Preparation (4)
90%
9.0
Interactive Data Cleaning and Enrichment
100%
10.0
Data Transformations
100%
10.0
Data Encryption
60%
6.0
Built-in Processors
100%
10.0
Platform Data Modeling (4)
95%
9.5
Multiple Model Development Languages and Tools
100%
10.0
Automated Machine Learning
100%
10.0
Single platform for multiple model development
100%
10.0
Self-Service Model Delivery
80%
8.0
Model Deployment (1)
50%
5.0
Flexible Model Publishing Options
50%
5.0
  • Very high positive impact because it's very fast to work with data with no coding need. You save a lot of time.
For me, the best advantage to use RapidMiner is the ease of use to learn and deploy new processes. Yo don't need to code, you learn fast and it's really flexible when it comes to transforming data. Knime is also good, but not so flexible, and visually less attractive. Pentaho ETL is less intuitive although very powerful but it will do only ETL part without mining techniques. SQL Server is way more difficult to use and deploy and not as powerful for ETL purposes. SQL Server has some good capabilities with using predictive algorithms.
2
Data analysts
1
  • ETL process and data analysis
  • Databases access
  • Mining data, algorithm analysis
  • Natural language analytics, image mining
Very fast and user-friendly tool
  • Apply multiple transformations to data (almost unlimited!)
  • Ease to include new functionalities
  • A lot of templates to learn and modify for your own needs
  • Some algorithm analysis are not very intuitive (clusters for example)
  • Charts needs to get better
  • Sharing analysis is not well done
No
Very use to use and learn
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