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KNIME Analytics Platform

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About KNIME Analytics Platform

KNIME Analytics Platform is a data analytics software from KNIME that enables users to create data workflows for analysis and visualization. It combines data mining, machine learning, and data integration so users can extract meaningful insights from their data. The platform supports various data sources and offers tools for data cleaning, change, and modeling. Users can also utilize its reliable visual programming interface to design workflows without extensive coding. Key capabilities: data integration data visualization machine learning workflow automation community support Best for: data analysts and scientists that need to analyze and visualize complex data sets.

KNIME Analytics Platform Details

Vendor
KNIME
Year Launched
2008
Location
Zurich, Switzerland
Deployment
cloud, on premise, linux
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, German, Japanese, Chinese, Korean, Portuguese, Spanish, French, Italian, Russian, Dutch, Turkish, Czech, Polish, Swedish.
Users
Data scientists, Data analysts, Business analysts, Researchers, Students, IT professionals, Machine learning engineers, Data engineers, Academic institutions, Financial analysts
Industries Served
Banking and financial services, Healthcare and life sciences, Retail and e-commerce, Manufacturing, Telecommunications, Technology and software, Energy and utilities, Government and public sector, Transportation and logistics, Academic research and education
Tags
Predictive Analytics, KNIME Analytics Platform

KNIME Analytics Platform's In-App Market Place

Does KNIME Analytics Platform have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CHF (CHF), CNY (¥), SEK (kr), INR (₹), RUB (₽), MXN ($), SGD ($), HKD ($)

Pros & Cons

  • Comprehensive Capabilities: KNIME comes with a wide range of built-in capabilities, and even more are available online, such as AutoML.
  • Custom Solutions: Users can integrate Python scripts for more functions and custom solutions, enhancing flexibility and functionality.
  • Integration with Other Tools: The software has extensions to integrate tools like R and Python into workflows, promoting reproducible research through shared workflows.
  • Column Type Guessing Errors: Nodes that attempt to auto-guess column types often get it wrong with multiple files, requiring complex workflows as a workaround.
  • Documentation Navigation: While documentation isn't poor, finding fixes can require extensive searching.
  • Learning Curve: KNIME is more limited than a programming language, and users familiar with building models programmatically may find the initial learning curve slow and limiting.

KNIME Analytics Platform's Support Options

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