Altair AI Studio

Avantages

One of the daunting requirements for data scientists and data storytellers is learning a programming language such as matlab and python and writing code for their tasks. This is on top of having to analyze and learn complex algorithms needed for the task. This can be a time consuming problem, especially for those who are not adept at programming. However, this is now a thing of the past because of RapidMiner Studio.

This is because RapidMiner features are drag and drop visual interface which makes all the difference. Data preparation to the final output and visualization is as simple as dragging blocks of your workflow into a canvas and connecting them altogether.

RapidMiner Studio also has most of the machine learning models used in the academe and the industry. One of the difficulties when dealing with code is tweaking the parameters of these models but because of the visual interface, you could simply click on the process and update this.

RapidMiner is also well documented. Each of the processes has their description, input, output, and parameters well described. Tutorial videos as well as blogs are available on their website. And finally, RapidMiner Studio has a community of data scientists that can help you when you have a question.

Inconvénients

What I found to be very inconvenient is that the application crashes at times. This may be a problem limited to my own machine.

Aside from this I found that the application seems to hog my computers memory and cpu resources. This may be because the application is running on Java (VM). This may not be a problem for people with a higher spec machine.

I also found that the application lacks collaboration features which may be something that they could improve on in the future.

Avantages

No coding skills needed! Rapidminer is a GUI tool that you can connect boxes on a canvas to conduct data anlysis, this serves as a great introduction to data analytics.

Free for students! You can get a provisional liscence with a dot edu account. This is a great perk of the software.

Data analytics and data visualization tools are available within the software with a plethora of other features!

Inconvénients

Very buggy! The software tends to crash often, this is especially more common with things such as neural networks etc.

Limitations of some versions! Even with the student version there is a limit of 10,000 rows of output, so if you are trying to do analysis on a 12,000 point data set , 2000 points will randomly be omitted.

Avantages

Visual workflow designer is the best part for predictive analytics.
I really like drag n drop interface for generating models.
Prebuilt templates are quite useful.

Inconvénients

It's not always free. You need to purchase it if you wana work with more than 10000 rows.
Its processing becomes too slow (almost hangs) while working with terabyte or petabyte of data.
Sometimes, it becomes difficult to handle hundreds of models available.

Avantages

The easiness of use, the support team, the video tutorials of the company, the career certification program, the visualization module has been upgraded, the integration capabilities to R, Python and Hadoop.

Inconvénients

Actually the only complaint I have is that the sw didnt make it in the "LEADERS" quadrant of Gardner.

Avantages

Started using this software a few months ago, and its shear power is amazing. The number of things the user can do with this software are amazing

Inconvénients

Sometimes, while handling big data, like having large number of examples and attributes, it takes a lot of time. The cumulative time increase, when the user is optimizing manually different attributes based on the results

Avantages

Provides a surprising array of different analytical templates from to off. Very easy to get up and running, an online tutorial videos quickly show how to use the different analytical reports.

Inconvénients

I always prefer free versions of software to be open source, but that's perhaps being too picky.

Learning curve.

Avantages

Easy to use.
Perfect for non-technical users.
RapidMiner includes a lot of Machine Learning libraries and algorithms.
Easy to construct simple and understandable machine learning workflows

Inconvénients

Does not scale well with the big data.
Some visualization techniques are ambiguous.

Avantages

RapidMiner is easy to use, I like the fact that the drivers that I use are already built in, It is able to read different database and guess what? It is able to merge these database.

Inconvénients

You are limited when using the free version, to get more rows you are required to purchase the software. RapidMiner is expensive. Asking questions you get no answer, most times I have to watch youtube videos to get certain information which at times is still not clear.

Avantages

This tool is basically identical to Alteryx, but substantially cheaper - making it a better value pick

Inconvénients

This tool only worked well for my teammates who are in Windows....anyone who was using Mac had consistent issues (even after reinstalls), making it hard to pick for a team that uses both Windows and Mac

Avantages

Very comfortable to use especially for a beginner and since it can be supported in any platform and excellent form of teaching.Makes machine learning easy

Inconvénients

A bit pricey to acquire but worth it at the end and it can consume a lot RAM sometimes your computer freezes

Avantages

Potente strumento di data mining con interfaccia user-friendly. Da me usato agli inizi della mia carriera, in ambito di ricerca, si è rivelato un ottimo tool, ready to use, vista la possibilità di sfruttarlo anche con limitate conoscenze di programmazione. Mi sono piaciute le risorse di formazione fornite del team di sviluppatori. Rapidminer è stato in grado di soddisfare tutte le mie esigenze di ricercatrice.

Inconvénients

Estensioni e RapidMiner alcune volte vanno in conflitto generando errori sconosciuti e difficilmente superabili.

Avantages

enough variety
fast learning curve
reliability
vizualization

Inconvénients

still searching, but if I have to write something: some add-ons are not free

Avantages

I learnt how to do data mining with this software. I can only say it is perfect even for new learners. When I started data mining the concept itself was new to me and I did not want to do complicated programming to do my data mining. That is why I chose RapidMiner. It is so easy to use and it provides lots of hint how to use each icon. I really prefer RapidMiner if I want to get my data mined faster and easier. Highly recommended.

Inconvénients

The help section was not %100 complete. It has many explanation but examples are not good explained.

Avantages

1- Friendly interface, robust software operation

2- Easy to learn

3- It support several data types

Inconvénients

Graphic plotting capabilities compare to R is low, I think this important feature that make RapidMiner stronger.

Avantages

Graphic tool with lot of Predictive tools .
Support Python code
Support easy and complex of data sources
Great tool for beginners and experts

Inconvénients

Needs a good computer to support the engine.
Output Graphics are not the best and I used excel to improve my presentations

Avantages

Easy to transform data and model
easy to use machine learning algorithms
Options for feature customization

Inconvénients

webservice is difficult to use
the GUI is not aesthetic

Avantages

The capabilities that this software offers are amazing. It is a great application for data analysis and statistical analysis.

Inconvénients

The learning curve is steep and you are much more likely to learn this software if you follow tutorials or a guided lecture.

Avantages

Fast at reading many kinds of databases. Various add-ons

Inconvénients

It is very costly. It is hard to share the data with someone else.

Avantages

Easy of use, fast, really nice presentation of results.

Inconvénients

The expansion through code is not easy. It has a lot of functionalities but in some locations you got stuck and need to implement in other way.

Avantages

I had a big data set I should analyze and didn't have any clue about data mining that's where I was introduced with rapid miner and I analyzed my data in less than a day. so I can just say its so easy and pretty simple and perfect.

Inconvénients

I couldn't find any instructions and manual as a guideline for using it.

Avantages

It makes data mining extremely easy even for beginners. Has many ready to go mining methods and drag and drop design.

Inconvénients

It is very resource hungry. Makes memory full after a while. Despite its ease of use, it is also easy to get lost with so many features.

Avantages

It has some functionalities that make data analytics much easier than other softwares.

Inconvénients

It can easily crash with more demanding algorithms such as deep neural.

Avantages

It's so intuitive and easy to use. You can have a machine learning model built in just minutes and the price is great too! The best thing is that I don't have to be an experienced Data Scientist to work with this too. It's a great tool at a great price and very easy to use compared to other tools on the market!