Altair RapidMiner vs Tableau Prep

Struggling to choose between Altair RapidMiner and Tableau Prep? Both products offer unique advantages, making it a tough decision.

Altair RapidMiner is a Ai Tools & Services solution with tags like data-science, machine-learning, predictive-analytics, data-preparation, deep-learning, text-mining.

It boasts features such as Drag-and-drop interface for building machine learning workflows, Over 500 modeling functions including regression, classification, clustering, deep learning, text mining, etc., Automated machine learning with Auto Model for quick model building, Real-time scoring and deployment of models, Visual data preparation tools for cleaning, joining, transforming data, Collaboration features like sharing workflows and interactive notebooks, Connectors for databases, Hadoop, Spark, cloud sources, etc. and pros including Intuitive visual interface, Comprehensive set of modeling and data prep capabilities, Automated ML makes model building accessible to non-experts, Scalability to big data sources, Collaboration features, Free version available.

On the other hand, Tableau Prep is a Business & Commerce product tagged with data-preparation, data-cleaning, data-transformation.

Its standout features include Visual interface for data preparation, Connects to various data sources, Joins data from multiple sources, Cleans and shapes data, Adds calculations and aggregations, Creates data extracts and outputs, and it shines with pros like Intuitive drag and drop interface, Automates repetitive data prep tasks, Great for data discovery and profiling, Seamless integration with Tableau Desktop, Scalable to large datasets.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Altair RapidMiner

Altair RapidMiner

Altair RapidMiner is a data science software platform that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. It is designed for business analysts, data scientists, and engineers to rapidly build and deploy predictive models.

Categories:
data-science machine-learning predictive-analytics data-preparation deep-learning text-mining

Altair RapidMiner Features

  1. Drag-and-drop interface for building machine learning workflows
  2. Over 500 modeling functions including regression, classification, clustering, deep learning, text mining, etc.
  3. Automated machine learning with Auto Model for quick model building
  4. Real-time scoring and deployment of models
  5. Visual data preparation tools for cleaning, joining, transforming data
  6. Collaboration features like sharing workflows and interactive notebooks
  7. Connectors for databases, Hadoop, Spark, cloud sources, etc.

Pricing

  • Free
  • Subscription-Based

Pros

Intuitive visual interface

Comprehensive set of modeling and data prep capabilities

Automated ML makes model building accessible to non-experts

Scalability to big data sources

Collaboration features

Free version available

Cons

Can be expensive for larger deployments

Less flexibility than coding models directly in Python/R

Steep learning curve for some advanced features

Limited options for non-Windows deployments


Tableau Prep

Tableau Prep

Tableau Prep is a data preparation tool that allows you to combine, shape, and clean data for analysis. It provides an easy-to-use visual interface to perform tasks like joining data sources, pivoting data, cleaning data, etc.

Categories:
data-preparation data-cleaning data-transformation

Tableau Prep Features

  1. Visual interface for data preparation
  2. Connects to various data sources
  3. Joins data from multiple sources
  4. Cleans and shapes data
  5. Adds calculations and aggregations
  6. Creates data extracts and outputs

Pricing

  • Subscription-Based

Pros

Intuitive drag and drop interface

Automates repetitive data prep tasks

Great for data discovery and profiling

Seamless integration with Tableau Desktop

Scalable to large datasets

Cons

Limited advanced transformation capabilities

Steep learning curve for complex tasks

Not ideal for production-level data pipelines

Requires purchase of Tableau Desktop license