Software Alternatives, Accelerators & Startups

Google Data Studio VS RapidMiner

Compare Google Data Studio VS RapidMiner and see what are their differences

Google Data Studio logo Google Data Studio

Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.

RapidMiner logo RapidMiner

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
  • Google Data Studio Landing page
    Landing page //
    2023-05-09
  • RapidMiner Landing page
    Landing page //
    2022-06-12

Google Data Studio videos

5 Reasons Why Google Data Studio is Amazing

More videos:

  • Review - Why I switched to Google Data Studio
  • Review - I Evaluated 4 BI Tools: Power BI, Tableau, Google Data Studio, & Sisense. Here's What I Found.

RapidMiner videos

RapidMiner Review - Predictive analytics software review

More videos:

  • Review - Analyzing Customer Reviews with MonkeyLearn and RapidMiner
  • Review - SENTIMENT ANALYSIS OF MOVIE REVIEW USING RAPIDMINER FROM EXCEL FILE

Category Popularity

0-100% (relative to Google Data Studio and RapidMiner)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
Business Intelligence
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Data Studio and RapidMiner

Google Data Studio Reviews

25 Best Statistical Analysis Software
With its intuitive interface and extensive customization options, Google Data Studio makes it easy for users to create captivating visualizations of their data, regardless of their technical expertise.
11 Metabase Alternatives
Google Data Studio is a platform that acts as a Google drive and saves hundreds of files at a time and makes reports out of them for business needs. Data studio offers to add a bulk of data files at a time and this application will make a report that will save a lot of their time and helps them make better decisions for their businesses and other useful tasks. Representers...
Best Google Data Studio Alternatives (Self-Service BI)
Google Data Studio is a reporting tool that nicely integrates within GA360 ecosystem (alongside with Google BigQuery and Google Sheet) and evolving on a monthly basis with an intuitive interface to explore and build insights. And it's completely free.
5 Metabase Alternatives You Don't Need a PhD to Use
Google Data Studio is a free tool and amongst the more visualization-focused alternatives to Metabase. Google Data Studio helps convert data into shareable reports for better metrics, reporting, and communication.
8 Databox Alternatives: Which One Is The Best?
Basic visualization and reporting are easy with Google Data Studio. However, it does not support the flexibility and customizability of visualization. So lack of visualization can be considered as a disadvantage of Google Data Studio.
Source: hockeystack.com

RapidMiner Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: RapidMiner offers a data science platform that enables people of all skill levels across the enterprise to build and operate AI solutions. The product covers the full lifecycle of the AI production process, from data exploration and data preparation to model building, model deployment, and model operations. RapidMiner provides the depth that data scientists...

Social recommendations and mentions

Based on our record, RapidMiner should be more popular than Google Data Studio. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Google Data Studio mentions (2)

  • 5 tools for Core Web Vitals to measure and improve website UX
    A tool to visualize data, for example, based on reports like CrUX, is Data Studio. It allows you to create dashboards based on source files and thus capture trends in user behavior. - Source: dev.to / about 2 years ago
  • GCP solution for ML model management (ML Ops)?
    I'm guessing you're looking for a database product or something like Data Studio. Whats your use case? Source: over 2 years ago

RapidMiner mentions (3)

  • I need help lol
    RapidMiner: A data science platform that offers an automated EDA process, including data preprocessing, visualization, and analysis. Source: over 1 year ago
  • Intro to Py-Arrow
    I hope this blog empowers you to start digging deeper into Apache Arrow and helps you to understand why we decided to invest in the future of Apache Arrow and its child products. I also hope it gives you the foundations to start exploring how you can build your own analytics applications from this framework. InfluxDB’s new storage engine emphasizes its commitment to the greater ecosystem. For instance, allowing... - Source: dev.to / over 1 year ago
  • Data Science toolset summary from 2021
    Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Link - https://rapidminer.com/. - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing Google Data Studio and RapidMiner, you can also consider the following products

Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.