Integrations

The RapidMiner platform is open, extensible and agnostic. It simplifies the process of securely integrating disparate data sources and emerging AI techniques to generate rich insights.

How Does It Work?

RapidMiner’s open-source kernel and flexible framework offers the widest range of support for applications, data sources, systems, coding languages, machine learning libraries, and cloud technologies. RapidMiner adapts with the constantly evolving preferences of the data science community, ensuring a sound fit in your environment, no matter how your data science stack is set up today, tomorrow or in the future.

RapidMiner Ecosystem

Data Pipeline

RapidMiner can ingest all of your raw data from different sources and then deploy it to your applications, databases and BI tools, allowing you to dig deeper and uncover rich insights. Incorporate all types of data—from Hadoop/Spark, Excel, documents, social media, email, databases, cloud services and more—and easily move it to your desired destination.

  • HDFS and Hive
  • Email
  • Web Scraping
  • Databases
  • Files/documents
  • Cloud services
  • Hadoop/Spark
  • BI software via REST API web services: Tableau, Qlik, PowerBI, Grafana

Deployment

By supporting the ability to create and orchestrate containerized solutions, RapidMiner helps you ensure that models can run wherever they can gather the strongest insight. Deploy with solutions like Docker & Kubernetes, various cloud platforms, and more.

  • Docker
  • Kubernetes
  • AWS Azure
  • Google Cloud
  • Microsoft Azure Active Directory
  • LDAP
  • Any SAML-based provider (e.g., Auth0)
  • Mac
  • Linux
  • Windows

Machine Learning

Because data science is a team sport and enterprises need their skilled individuals collaborating efficiently, RapidMiner eliminates the inherent tension between code-based data science and code-free visual approaches. The RapidMiner platform integrates with coding languages, machine Learning libraries and deep learning environments.

  • Python
  • R
  • Java
  • Groovy
  • PySpark
  • SparkR
  • SQL Scripting
  • H20
  • Deep Learning (Keras) – DL4J
  • Weka
  • Keras
  • Tensorflow
  • Theano
  • Microsoft CNTK
  • NVIDIA CUDA

Highlighted Ecosystem Partners

Our partners are a network of business and technical professionals who assist in providing products and services to the RapidMiner community.

Discover Our Partners

The RapidMiner platform is constantly adapting to meet the evolving needs of the data science community. Check out our entire network of business and technical professionals.
View Partners

1,000,000+

Global users

Excellent Interface and Easy Model Generation Thanks to AutoModel

We started using RapidMiner Studio years ago. The excellent results speak for themselves, so we have been very satisfied with our cooperation with RapidMiner for a long time. The support is remarkable and leaves nothing to be desired.

Data Analyst

Retailers

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Smart Tool Related to Machine Learning and Data Science

This has completely changed how we handle our database schemas, how we achieve success and make long-term plans, and how we make decisions. We've deployed RapidMiner throughout our whole business since it's applicable for each and every use case, sparing us a tremendous quantity of effort and resources.

Corporate Communications Manager

IT Services

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Automated Machine Learning

RapidMiner is an awesome visual workflow designer. The way they present visually is so unique. It helps in speeding and automating the creation of visual models. It helps in creating models in only 5 clicks by automated machine learning.

Senior Software Engineer

R&D/Product Development

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Best Data Science and Machine Learning Solution

Overall, I had a positive experience with RapidMiner. It is a unified platform where I can judge my data overall and we can easily decide where we need improvements and what is working well. Due to its machine learning, I am confident about my decision that keeps my brand standing out in a competitive world.

Senior Software Engineer

IT Services

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