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Altair AI Studio 2026: Benefits, Features & Pricing

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  • Overview
  • Pricing and Plans
  • Features
  • User Reviews

Overview

Altair AI Studio
Altair AI Studio
4.4
(23)

Pricing

Pricing available upon request

About Altair AI Studio

RapidMiner is a cloud-based and on-premise data science solution, which helps small to large organizations access, load and analyze structured and unstructured data. Key features include process automation, model validation, data connection, and blending.

The application comes with a visual drag-and-drop tool and machine learning library, which enables developers to create and deploy predictive models. Programmers can use the data cleansing functionality to visualize the performance/stability of datasets and remove low-quality data. Additionally, the solution helps users identify data problems such as correlations, missing values and more.

RapidMiner includes a scoring feature which allows analysts to detect manufacturing defects in models and measure financial risks. The solution is available on an annual subscription and support is provided via phone, email, chat and documentation.

Altair AI Studio Screenshots

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Altair AI Studio Pricing and Plans

Free Trial
Free Version

Basic

Pricing available upon request

No plan information available

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    Altair AI Studio Features

    • Popular features found in Data Mining
      Activity Dashboard
      Data Capture and Transfer
      Data Connectors
      Data Extraction
      Data Import/Export
      Data Visualization
      Machine Learning
      Predictive Analytics
      Predictive Modeling
      Statistical Analysis
      Text Mining
      Visual Analytics
    • More features of Altair AI Studio
      Access Controls/Permissions
      Alerts/Notifications
      API
      Collaboration Tools
      Dashboard
      Data Blending
      Data Cleansing
      Data Mining
      Data Preparation
      Data Transformation
      Forecasting
      Generative AI
      Linked Data Management
      Multiple Data Sources
      No-Code
      Process Change Tracking
      Process Modeling & Designing
      Reporting/Analytics
      Sentiment Analysis
      Templates
      Text Analysis
      Topic Classification

    Altair AI Studio User Reviews

    Overall Rating

    4.4

    Ratings Breakdown

    5

    48%

    4

    43%

    3

    9%

    2

    0%

    1

    0%

    Secondary Ratings

    Ease of Use

    4.3

    Value for money

    4.0

    Customer support

    4.5

    Functionality

    4.5

    Maynard John's profile

    Maynard John S.

    Verified reviewer

    Research

    Self-Employed

    Used other for less than 12 months

    Review source

    Reviewed June 2019

    The data scientist's swiss knife: Fast and Easy Machine Learning through RapidMiner Studio

    4

    Overall my experience with using RapidMiner was great. It allowed me to rapidly try out different machine learning models and compare each result with one another. It also allowed me to conveniently address my workflow without having to write code. It is a great tool for students and people without a strong programming background. Its well documented functions and strong community addresses what ever questions I had with the processes.

    Ratings Breakdown

    4
    Ease of use
    5
    Functionality
    icon
    Pros:
    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.
    Cons:
    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.

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    Rashid's profile

    Rashid C.

    Verified reviewer

    Used daily for more than 2 years

    Review source

    Reviewed August 2018

    Great tool for data analytics!

    5

    Great data analytic and visualization tool!

    Ratings Breakdown

    5
    Ease of use
    5
    Value for money
    5
    Customer support
    3
    Functionality
    icon
    Pros:
    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!
    Cons:
    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.

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    AZ

    Ambreen Z.

    Verified reviewer

    Computer Software

    201-500 employees

    Used daily for less than 12 months

    Review source

    Reviewed March 2019

    Userfriendly Interface for ETL

    3

    It's a good platform while applying predictive analytics on any dataset with a user friendly interface to have the true picture of the future.

    Ratings Breakdown

    2
    Ease of use
    3
    Functionality
    icon
    Pros:
    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.
    Cons:
    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.

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    Roberto's profile

    Roberto I.

    Verified reviewer

    Telecommunications

    2-10 employees

    Used weekly for less than 2 years

    Review source

    Reviewed February 2020

    I never had guessed that Data Science software was so easy

    5

    As being an old time user of data mining project using open programming languages, I found extremely useful all the features of Rapid Miner. Form preparing the data, creating predictive models and potting them in a visualized presentation.

    Ratings Breakdown

    5
    Ease of use
    5
    Value for money
    4
    Customer support
    5
    Functionality
    icon
    Pros:
    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.
    Cons:
    Actually the only complaint I have is that the sw didnt make it in the "LEADERS" quadrant of Gardner.

    Reasons for switching to Altair AI Studio

    So much easy to use

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    Khurram's profile

    Khurram M.

    Verified reviewer

    Higher Education

    Self-Employed

    Used daily for less than 12 months

    Review source

    Reviewed November 2018

    Excellent tool for Data Mining

    5

    Ratings Breakdown

    5
    Ease of use
    5
    Functionality
    icon
    Pros:
    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
    Cons:
    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

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    VR

    Verified
    Reviewer

    1001-5000 employees

    Used monthly for more than 2 years

    Review source

    Reviewed November 2017

    Fairly straight forward analytics

    4

    I'm using the basic version but was surprised to be able to easily analyse my small data set and identify a few interesting trends very swiftly. Usually I'd do basic analysis manually with SQL and gnuplot, but can see myself using to Rapidminer more in future (not something I thought I'd say)

    Ratings Breakdown

    2
    Ease of use
    3
    Value for money
    3
    Customer support
    4
    Functionality
    icon
    Pros:
    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.
    Cons:
    I always prefer free versions of software to be open source, but that's perhaps being too picky. Learning curve.

    Read More

    Yehia's profile

    Yehia E.

    Verified reviewer

    Used unspecified for unspecified

    Review source

    Reviewed February 2017

    Great tool for Proof of Concept purposes

    4

    I used RapidMiner a lot for doing proof of concept of some machine learning models before going to the production. It is really easy to construct a machine learning workflow, including loading data, features selection and cleaning, applying machine learning models and visualization. Sometimes, RapidMiner does not work well with big data as it requires a lot of memory to process the data. However, for me, it is the best tool yet to do pre-production experiements.

    Ratings Breakdown

    5
    Ease of use
    3
    Value for money
    4
    Customer support
    4
    Functionality
    icon
    Pros:
    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
    Cons:
    Does not scale well with the big data. Some visualization techniques are ambiguous.

    Read More

    NM

    Nadia M.

    Verified reviewer

    Accounting

    201-500 employees

    Used weekly for more than 2 years

    Review source

    Reviewed June 2021

    RapidMiner Review

    5

    Ratings Breakdown

    4
    Ease of use
    4
    Value for money
    4
    Customer support
    4
    Functionality
    icon
    Pros:
    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.
    Cons:
    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.

    Read More

    VR

    Verified
    Reviewer

    Hospitality

    501-1000 employees

    Used daily for less than 6 months

    Review source

    Reviewed April 2019

    Best bang for your buck analytics tool, but only for Windows

    4

    Ratings Breakdown

    3
    Ease of use
    5
    Functionality
    icon
    Pros:
    This tool is basically identical to Alteryx, but substantially cheaper - making it a better value pick
    Cons:
    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

    Read More

    fm

    francis m.

    Verified reviewer

    Used daily for less than 12 months

    Review source

    Reviewed May 2018

    Its simplicity enables one to do data science and the best part is you can customize as per need.

    4

    Ratings Breakdown

    4
    Ease of use
    3
    Value for money
    4
    Customer support
    4
    Functionality
    icon
    Pros:
    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
    Cons:
    A bit pricey to acquire but worth it at the end and it can consume a lot RAM sometimes your computer freezes

    Read More

    Showing 1 - 10 of 23 Reviews

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