Software Alternatives, Accelerators & Startups

RapidMiner VS Azure Databricks

Compare RapidMiner VS Azure Databricks and see what are their differences

RapidMiner logo RapidMiner

RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Azure Databricks logo Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
  • RapidMiner Landing page
    Landing page //
    2022-06-12
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

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

Azure Databricks videos

Azure Databricks is Easier Than You Think

More videos:

  • Review - Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday
  • Review - Azure Databricks - What's new! | DB102

Category Popularity

0-100% (relative to RapidMiner and Azure Databricks)
Data Science And Machine Learning
Technical Computing
62 62%
38% 38
Data Science Tools
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

Share your experience with using RapidMiner and Azure Databricks. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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...

Azure Databricks Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and...
Source: theqalead.com

Social recommendations and mentions

Based on our record, RapidMiner should be more popular than Azure Databricks. 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.

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

Azure Databricks mentions (2)

  • Top 30 Microsoft Azure Services
    In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / almost 3 years ago
  • ZooKeeper-free Kafka is out. First Demo
    https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing RapidMiner and Azure Databricks, you can also consider the following products

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

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

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

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

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

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.