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  1. Home
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  3. KNIME Analytics Platform
Logo of KNIME Analytics Platform

KNIME Analytics Platform

byKNIME
in
4.0
Market Presence: AI Platforms for Data Science and Machine Learning, Predictive Analytics Software

Overview

Product Information on KNIME Analytics Platform

Updated 29th August 2023

What is KNIME Analytics Platform?

KNIME offers a complete platform for end-to-end data science, from creating analytic models, to deploying them & sharing insights, through to data apps & services. KNIME Analytics Platform is free & open source. Users remain on the bleeding edge of data science, get 300+ connectors to data sources & integrations to all popular ML libraries. KNIME Business Hub provides a single, customer-managed environment for data workers to collaborate on & deploy solutions. KNIME enables data experts to accelerate time to insight, collaborate with other disciplines & upskill colleagues. Business & domain experts can access & blend data, perform advanced analyses & deliver timely insights in a visual, interactive environment that eliminates the need to code. End users get instant insights with custom, interactive data apps without coding or building analytical models. MLOps & IT can securely deploy, manage & scale with a single installation & ensure enterprise-grade security & governance.

KNIME Analytics Platform Pricing

KNIME Analytics Platform is free and open source. KNIME Business Hub comes in three editions: Basic for teams with business needs, Standard for teams deploying many solutions, and Enterprise for teams with custom requirements.

KNIME Analytics Platform Product Images

KNIME Analytics Platform UI
KNIME Analytics Platform UI
KNIME Node Monitor
KNIME Node Monitor
KNIME Business Hub - Teams
KNIME Business Hub - Teams

Overall experience with KNIME Analytics Platform

DATA ANALYST
Gov't/PS/ED <5,000 Employees, Education
FAVORABLE

“KNIME: A Key Tool for Predictive Analysis Despite Challenges”

5.0
Sep 6, 2024
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.
Operations and Finance Team Lead
<50M USD, Consumer Goods
CRITICAL

“Streamlining Data Analysis Tasks in an Open Source Environment”

3.0
Apr 9, 2025
This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions. This text serves as a placeholder and does not reflect the user’s review responses or opinions.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

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About Company

Company Description

Updated 24th August 2023

KNIME helps individuals and organizations make sense of their data. KNIME bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and Machine Learning techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies. Headquartered in Zurich, KNIME has offices in Austin, TX, Konstanz and Berlin.

Company Details

Updated 28th August 2023
Company type
Private
Year Founded
2008
Head office location
Zurich, Switzerland
Number of employees
100 - 499
Website
https://knime.com

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Peer Discussions

KNIME Analytics Platform Reviews and Ratings

4.0

(8 Ratings)

Rating Distribution

5 Star
50%
4 Star
13%
3 Star
38%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?
  • Operations and Finance Team Lead
    <50M USD
    Consumer Goods
    Review Source

    Streamlining Data Analysis Tasks in an Open Source Environment

    3.0
    Apr 9, 2025
    Its a solid tool for data analytics, i like that it's open source, but performance sometimes lag with big datasets
  • Operations and Finance Team Lead
    <50M USD
    Consumer Goods
    Review Source

    Streamlining Data Analysis Tasks in an Open Source Environment

    3.0
    Apr 9, 2025
    Its a solid tool for data analytics, i like that it's open source, but performance sometimes lag with big datasets
  • Read All 8 Reviews

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Reviewer Insights for: KNIME Analytics Platform
Performance of KNIME Analytics Platform Across Market Features

KNIME Analytics Platform Likes & Dislikes

Like

My Favorite feature of using KNIME is its drag-and-drop feature and its user-friendly interface which simplifies workflow creation without coding. It has excellent features in automating repetitive processes and can handle both simple and complex data analysis from ETL to machine learning model development. Platform flexibility makes it perfect for diverse analytics projects and predictive machine learning models that enhance efficiency and task completion.

Like

My Favorite feature of using KNIME is its drag-and-drop feature and its user-friendly interface which simplifies workflow creation without coding. It has excellent features in automating repetitive processes and can handle both simple and complex data analysis from ETL to machine learning model development. Platform flexibility makes it perfect for diverse analytics projects and predictive machine learning models that enhance efficiency and task completion.

Like

My Favorite feature of using KNIME is its drag-and-drop feature and its user-friendly interface which simplifies workflow creation without coding. It has excellent features in automating repetitive processes and can handle both simple and complex data analysis from ETL to machine learning model development. Platform flexibility makes it perfect for diverse analytics projects and predictive machine learning models that enhance efficiency and task completion.

Dislike

The user interface feels a little bit old, it does not perform great with big datasts and integration with tools like python can be tricky for non develoeprs

Dislike

The user interface feels a little bit old, it does not perform great with big datasts and integration with tools like python can be tricky for non develoeprs

Dislike

The user interface feels a little bit old, it does not perform great with big datasts and integration with tools like python can be tricky for non develoeprs