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Swiss company KNIME offers their KNIME Analytics Platform for big data and predictive analytics.https://dudodiprj2sv7.cloudfront.net/product-logos/0N/0E/1873U0EK37H9.pngKNIME Analytics Platform: the proof that open source can be the bestWe use KNIME across the whole organization. It is used to solve a wide range of business problems, from ETL and data integration, to advanced analytics and customer segmentation.,Connect to different data sources (uses JDBC) Process large quantities of data Integrate different machine learning frameworks and techniques Use and integrate with cloud and big data environments,Does not have integration with Jupyter Notebooks The tools for script writing and development are not easy to use or don't have many features Memory usage is problematic some of the time,10,It is very positive, being open source and available for many users.,IBM SPSS Modeler and SAS Advanced AnalyticsKNIME Analytics: Developer ReviewWe use KNIME Analytics for our client (one of the Big Four). The use of this platform is for NLP related tasks. Specifically for Information Retrieval. It is used by a division within the organisation.,Text processing is easily performed by the various extensions within this platform Integrates multiple languages like Python, R , Java etc. all in one place Also provides many options for text parsing like CoreNLP, OpenNLP,Documentation is poor The developers are mostly not native English speakers therefore their verbiage is sometimes ambiguous in the given examples,10,Cannot comment on this aspect since it is used/preferred by the client,Tableau Desktop,Alteryx Analytics
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KNIME Analytics Platform
14 Ratings
Score 8.9 out of 101
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KNIME Analytics Platform Reviews

KNIME Analytics Platform
14 Ratings
Score 8.9 out of 101
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Sergio Pulido Tamayo profile photo
August 07, 2018

Review: "KNIME Analytics Platform: the proof that open source can be the best"

Score 10 out of 10
Vetted Review
Verified User
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We use KNIME across the whole organization. It is used to solve a wide range of business problems, from ETL and data integration, to advanced analytics and customer segmentation.
  • Connect to different data sources (uses JDBC)
  • Process large quantities of data
  • Integrate different machine learning frameworks and techniques
  • Use and integrate with cloud and big data environments
  • Does not have integration with Jupyter Notebooks
  • The tools for script writing and development are not easy to use or don't have many features
  • Memory usage is problematic some of the time
Perfect for training of non-expert users. It is well suited for any kind of analytics endeavor. It is appropriate for many information automation tasks.
Read Sergio Pulido Tamayo's full review
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August 24, 2018

KNIME Analytics Platform: "KNIME Analytics: Developer Review"

Score 10 out of 10
Vetted Review
Verified User
Review Source
We use KNIME Analytics for our client (one of the Big Four). The use of this platform is for NLP related tasks. Specifically for Information Retrieval. It is used by a division within the organisation.
  • Text processing is easily performed by the various extensions within this platform
  • Integrates multiple languages like Python, R , Java etc. all in one place
  • Also provides many options for text parsing like CoreNLP, OpenNLP
  • Documentation is poor
  • The developers are mostly not native English speakers therefore their verbiage is sometimes ambiguous in the given examples
It is good for data ingestion given various formats. Thereafter more time can be dedicated to data analysis and other downstream tasks.
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KNIME Analytics Platform Scorecard Summary

About KNIME Analytics Platform

Swiss company KNIME offers their KNIME Analytics Platform for big data and predictive analytics.

KNIME Analytics Platform Technical Details

Operating Systems: Unspecified
Mobile Application:No