Sign in
Categories
Migration Mapping Assistant Your Saved List Partners Sell in AWS Marketplace Amazon Web Services Home Help

RapidMiner AI Hub (pay as you go)

RapidMiner | 9.7.0

Linux/Unix, CentOS CentOS Linux - 64-bit Amazon Machine Image (AMI)

Reviews from AWS Marketplace

0 AWS reviews
  • 5 star
    0
  • 4 star
    0
  • 3 star
    0
  • 2 star
    0
  • 1 star
    0

External reviews

439 reviews
from G2

External reviews are not included in the AWS star rating for the product.


    Market Research

Loved Using RapidMiner

  • August 13, 2020
  • Review verified by G2

What do you like best?
I like the fact that there are a lot of helpful guides and communities that can answer lots of questions that could pop up about using and designing models on RapidMiner. Additionally, I like that using RapidMiner itself, once you get the hang of it, is very easy and easy to understand.
What do you dislike?
When first using RapidMiner, if you don't have some kind of outside help, it's confusing about where and how to start for beginners. Also at times, when I tried to run a model it always gave me an error that my computer didn't have enough space yet when a friend of mine ran the exact same thing with the exact same computer, it seemed to work just fine for them. This was a little frustrating.
What problems are you solving with the product? What benefits have you realized?
I've been using RapidMiner with various predictive analytics problems. I originally got RapidMiner because I needed it for a class that I was taking but I'm sure that if I delve further into the predictive analytics field that it will be a tool that I will come back to use quite often for I liked the way RapidMiner is set up and works.


    Sven V.

RapidMiner will always be one my everyday carry essentials.

  • August 12, 2020
  • Review provided by G2

What do you like best?
From a company finding the majority of its customers in the industrial sector, one might expect a customer interaction similar to how other Tech Giants behave. Nothing distinguishes RapidMiner more than any other company or application I used over more the last decades.
As a clinician (anesthesiologist and emergency physician), once an absolute rookie in data science I tested several platforms able to solve my data related problems. And problems, I had many of them from extracting unstructured data from electronic health records (EHRs) to model deployment and monitoring of disease specific datasets from critical patients with stroke, sepsis, covid-19, etc.
I could never have accomplished these tasks without the close relationship I developed over the years with amazingly interesting and clever people developing for or working with RapidMiner technology. A few things I experienced during that journey:
No matter which sector you work in, listening to questions other data geeks are facing, reading the solutions proposed by experienced people in a certain subdomain always gives you a step forward to solve your own problem. I never noticed such a vivid community as the one I visit almost daily with almost 700K members and over 15K discussions and answers. As most other companies have only a customer service, RapidMiner always valued the direct feedback from any customer or platform user. This definitely is the reason RapidMiner is a very successful application as it keeps the finger on the pulse. The company always knows which direction customers wanted to get their platform to grow.
Besides the passive inflow of information from the customers, RapidMiner is also actively interacting with its customers. National and international meetings and webinars are organized to get the latest trends and insights in the developments the company is working and additionally provides lots of time and space to have customers present their accomplishments.
As many data science applications evolve in the direction of monolithic black boxes, RapidMiner used a completely different approach. As much as developing new technologies within their platform, they offered solutions to integrate existing code (R, Python, etc) within their processes which saved many hours of coding as several tools are available e.g. in Python and provide links to databases, websites, web services, feeds, social media, etc.
As a clinician and data scientist, I need to spend a lot of time explaining the steps I took between raw data and the final model I developed. This is so often overlooked by many companies and from my point of view a significant reason the AI/ML revolution could have positioned itself at a higher level in many fields of directly aiding citizens to become healthier and more efficient.
The most striking argument I have to stick to RapidMiner is the fact that I only need one application to get most of my work done from ETL to data visualization which makes the amount of coding required to achieve my goals to a minimum. RapidMiner evolved in such a way that people with almost no experience in data science can cluster and classify their data, make predictive models, deploy models and monitor any drift in a way large industrial processes are dealing with this.
Additionally, the way the user interface is built, any process can be built starting with tangible building blocks which can be understood by any audience which will at one moment in time require insights in which magics you have created.
Although RapidMiner has most of its customers positioned in different industries more than in research departments, RapidMiner always showed lots of interest and provided me with valuable advice.
It may be very subjective but the word RapidMiner family is how I see this community and company.
As life is an inflammatory pathway, generating interesting data, RapidMiner will always be one my everyday carry essentials.
Sven Van Poucke, MD, PhD
https://www.researchgate.net/profile/Sven_Van_Poucke/research
What do you dislike?
I do not find any relevant downsides for this moment
What problems are you solving with the product? What benefits have you realized?
https://www.researchgate.net/profile/Sven_Van_Poucke/research
Recommendations to others considering the product:
Download your free version and get started!!!


    Mohammad S.

Great product

  • August 07, 2020
  • Review provided by G2

What do you like best?
Easiness, powerful, can you do what ever you want in short time
What do you dislike?
For me there is no downside things, it is a great product
What problems are you solving with the product? What benefits have you realized?
Thift in utility


    denizhan e.

Very useful and saving time when you face complex problems.

  • August 04, 2020
  • Review verified by G2

What do you like best?
data preparation is very easy and you can clean and prepare your data very fast.
What do you dislike?
Visualization tools are very strict. they should allow us to play around more. Basically, it is good for the first impression but I can make better graphs with Python.
What problems are you solving with the product? What benefits have you realized?
When I begin to work on a project, the first thing I do upload my dataset to RM and play around. I design complete process there. If RM is enough for me to finish my project I go with it, if not I open my Jupiter Notebook and re-build the design there.
It is fast, gives you quick insight about your data and you can try almost all algorithms for modeling. Yes, they have limitations but still very handy.


    Higher Education

The best tool of coding free when complex analytics needed.

  • August 01, 2020
  • Review provided by G2

What do you like best?
No need programming even if for complex task. Very easy to use and enormous amount of function operators.
What do you dislike?
More machine learning models included in auto model would be appreciated.
What problems are you solving with the product? What benefits have you realized?
Analyzing public policy data to predict covid19 spread.


    Geoge F.

excellent product, extraordinary support

  • July 30, 2020
  • Review verified by G2

What do you like best?
feature-rich, strong community, outstanding support
What do you dislike?
Nothing, really, if one accepts that performance requires work for large amounts of data or convoluted processes.
What problems are you solving with the product? What benefits have you realized?
Document and subject classification, financial health analysis


    Entertainment

I like using RapidMiner to build models when I have the appropriate data

  • July 30, 2020
  • Review provided by G2

What do you like best?
Python integration, automodel - I think these are two of the best features that I use most often
What do you dislike?
I think some of the operators can be a bit confusing to use - when you look on the right hand side v double clicking on the operators there are different options for arguments. I think the formula tools, union, and joining could be more streamlined so you can provide multiple in a single node instead of using the same formula flow multiple times. Often I will use python or Alteryx first before I send data into RapidMiner, but it would be nice if some of these data cleansing features were integrated into RapidMiner
What problems are you solving with the product? What benefits have you realized?
Integrating workflows (SQL, Python, data models). Many of our engagements don't have the best data quality or data organized well enough to setup to properly build a usable model. Often we have to use a rule based approach to decision making to get the quantity of data we need to train a model


    Emircan .

Rapidminer is the easiest and the most effective platform for data mining.

  • July 20, 2020
  • Review verified by G2

What do you like best?
It's easy to use and I can solve my research problems on time thanks to Rapidminer. Without any coding skills you can easily dive into data mining world. Also it is very easy to work professionally with Rapidminer.
What do you dislike?
Some operators like SVD (singular value decomposition) and PCA don't give detailed output matrixes.
What problems are you solving with the product? What benefits have you realized?
I'm using Rapidminer to solve academical research problems. I've used it during PhD research and comletely loved it. You can solve any data mining problem without coding knowledge. Rapidminer also helps to put forth valuable and professional work in limited time.


    Micaela C.

My experience qith RM

  • July 18, 2020
  • Review provided by G2

What do you like best?
Graphic, a lot of tutorials, easy to use
What do you dislike?
Questions don’t being replied in the blog
What problems are you solving with the product? What benefits have you realized?
Statistics, machine learning


    Abhishek Mohan M.

Mulit faceted, user friendly and affordable software

  • July 17, 2020
  • Review provided by G2

What do you like best?
- Lucid and crisp tutorials for beginners
- Student privileges
- Knowledgeable data mining community who chip in during the stuck up phases
What do you dislike?
- The descriptions of operators (right click) require deep technical knowledge and is hard to understand for a beginner
What problems are you solving with the product? What benefits have you realized?
Solved: 1) Predicting future data to take advance decisions
2) Reduce time and effort invested in detecting anomalities/ hotspots in data

Benefit: A better result can be found in a quicker and easier manner to complex problems that would otherwise take high manpower and also lead to delays.