RapidMiner Reviews, Pricing, and Ratings
Learn about RapidMiner’s data science service for businesses. Includes info on RapidMiner, free trials, pricing, customer reviews and FAQs.
Updated on January 25th, 2019
RapidMiner is a data science platform for businesses. RapidMiner’s solutions include churn prevention, predictive maintenance and fraud detection. Businesses can use RapidMiner to unite data prep, machine learning and predictive model deployment.
RapidMiner Pricing:
Plan Name | Annual Pricing (per user) |
|---|---|
Free | $0.00 |
Small | $2,500.00 |
Medium | $5,000.00 |
Large | $10,000.00 |
RapidMiner Summary:
Pros: Superb Auto-Model feature and very intuitive interface.
Cons: Could do with more options to configure plots.
Bottomline: Amazing solution for effective data science management.
RapidMiner News & Activity:
Date | News or Activity |
|---|---|
May 23, 2018 | RapidMiner and Informatica Bring AI-powered Data Analytics to the Enterprise |
October 11, 2018 | RapidMiner Launches Next Generation Cloud Data Science Platform |
RapidMiner Key Information:
Founder | |
Year Founded | 2007 |
Headquarters | Boston, Massachusetts |
CEO | |
Number of Employees | 50+ |
Number of Customers | 30,000+ |
Phone | 1 (617) 401-7708 |
Address | 100 Summer Street, Suite 1503, Boston, MA 02110, USA |
Website |
RapidMiner FAQs:
What is RapidMiner's price range?
RapidMiner’s plans range from $2,500.00 to $10,000.00 per user per year.
Is there a RapidMiner free trial?
A free 30-day trial is available here. You will need to furnish some personal and business details. No credit card is required.
Where can I find the RapidMiner login?
You can go to www.rapidminer.com and find the “My Account” option at the top right corner of the homepage.
What are some RapidMiner alternatives?
Reviews of RapidMiner:
Source | Review |
|---|---|
I will recommend RapidMiner. It is a drag-and-drop machine learning application that simplifies the process of training. The user interface offered by RapidMiner is pretty amazing. You will find a nice visual workflow design too.The dataset can be loaded and stored from/to various sources such as xl, csv, and many database systems.I think RapidMiner has made a lot of improvements since 2013. Now this application has been integrated with deep neural network, cloud-based computation etc. You can find it in this url ( Lightning Fast Data Science Platform | RapidMiner).It is an open source, you can use their library in your code.If you download and use free application, of course there will be some limitations such as number of data you can compute, functions etc. But as far as I know, rapidminer is still the best application for training simulation. | |
I would also recommend RapidMiner for a nicely simplified but powerful environment if you’re pressed for time. | |
Tried #RapidMiner for some basic #Analytics and was stunned by the versatility of WYSIWYG applications in #AI and #ML. It took 5 mins to clean the data, label, split, train, test, evaluate. | |
It is kind of slow and you are limited to what you can do use Python unless you are doing something with ANN then use Torch7. If you are doing something statistics heavy use R. | |
Checkout Rapidminer and Knime for great examples of box'n'arrows applied to machine learning pipelines. I've used Rapidminer a fair bit and they really have a great model including a dynamic number of inputs/outputs from a single box and ability to make boxes that encapsulate pipelines made from other boxes. I was able to do an order of magnitude more experimentation using this visual style than if I had tried to script it in code. I'm a software engineer who loves to program so the fact that I'd pick this tool for that job over programming I think says something. |