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KNIME Analytics Platform

A platform for end-to-end data science, enabling the creation, deployment, and sharing of analytic models, data apps, and services

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Drag and Drop Workflow Building
Create data workflows without needing to write code
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Data Source Connectors
Allows users to seamlessly integrate data from various sources, including databases, cloud platforms, files, and APIs
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Interactive Data Views
Explore data with interactive charts, provides valuable insights and facilitates exploratory data analysis
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Machine Learning Integration
Leverage AI/ML including large language models, empowering users to build and deploy sophisticated predictive models
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Community Support
The active community provides valuable resources, support, and a wealth of shared workflows and extensions
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Automated Workflows
Eliminate repetitive data manipulation with automation
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Scalability
Empower any number of users to run workflows in a single environment
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Custom Scripting
Integrate custom Python, R, SQL, Java, or C scripts
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Knowledge Base Creation
Build and share reusable workflows as best practices
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High System Resource Usage
Can occupy a significant amount of system RAM, which may cause other applications to hang
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Data Visualization Limitations
The platform’s data visualization capabilities are limited, requiring users to create their own visualization tools
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Documentation Issues
The documentation provided by KNIME is often insufficient and needs improvement
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Handling Large Files
Struggles with handling large files or databases, and performance can suffer with data over 1GB
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Error Messages
Error messages can cause interruptions and may not always be clear

Platform

Desktop

Social

System Requirements

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Ratings

4.47
5

Capterra
4.6
5
based on 25 reviews
G2CROWD
4.4
5
based on 67 reviews
Gartner
4.7
5
based on 203 reviews
TrustRadius
8.4
10
based on 66 reviews

Developer

Written in

Java

Initial Release

28 July 2006

Repository

License

Categories


Notes

  • Other KNIME products:
    • KNIME Server: Enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics, read documentation
    • KNIME Hub: A central platform for searching, organizing, and collaborating on data science workflows, components, and extensions created by the community, read more
    • KNIME Edge: A distributed, container-based platform that moves consumption of models directly to where data is generated, read documentation