KNIME Analytics Platform
Predictive Analytics.
Some of the top features or benefits of KNIME Analytics Platform are: Open Source, User-Friendly Interface, Wide Range of Integrations, Extensive Tutorials and Documentation, Flexible and Scalable, and Advanced Analytics Capabilities. You can visit the info page to learn more.
KNIME Analytics Platform Alternatives & Competitors
The best KNIME Analytics Platform alternatives based on verified products, community votes, reviews and other factors.
Filter:
5
Open-Source Alternatives.
Latest update:
-
RStudio™ is a new integrated development environment (IDE) for R.
Key RStudio features:
User-Friendly Interface Integrated Development Environment Extensive Support for Packages RMarkdown Support
-
IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
Key IBM SPSS Statistics features:
Comprehensive Statistical Analysis User-Friendly Interface Data Management Capabilities Advanced Graphical Tools
-
GTM Analytics for the AI Era.
Key TigerEye features:
Cutting-Edge Technology User-Friendly Interface Customizable Solutions Strong Security Features
-
RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
Key RapidMiner features:
Ease of Use Integration Capabilities Comprehensive Feature Set Community and Support
-
Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.
Key Stata features:
Comprehensive Statistical Tool User-Friendly Interface Extensive Documentation Strong Community Support
-
JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.
Key JMP features:
User-friendly Interface Comprehensive Data Visualization Advanced Statistical Analysis Integration with R and Python
-
Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.
Key Alteryx features:
User-Friendly Interface Robust Data Integration Advanced Analytics Automation
-
Base SAS Software is an easy-to-learn fourth-generation programming language for data access, transformation and reporting.
Key Base SAS features:
Comprehensive Data Management Advanced Statistical Analysis Mature and Reliable Excellent Data Handling
-
IBM SPSS Modeler provides predictive analytics to help you uncover data patterns, gain predictive accuracy and improve decision making.
Key IBM SPSS Modeler features:
User-Friendly Interface Comprehensive Data Handling Advanced Analytics and Machine Learning Integration Capabilities
-
A high-level language and interactive environment for numerical computation, visualization, and programming.
Key MATLAB features:
Versatility Built-in Functions User-Friendly Interface Excellent Visualization
-
Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
Key IBM Watson Studio features:
Integration Scalability Collaboration Automated Machine Learning (AutoML)
-
GNU Octave is a programming language for scientific computing.
Key GNU Octave features:
Free and Open Source MATLAB Compatibility Extensive Documentation Flexible Integration
-
OriginLab OriginPro is a comprehensive interface-based data management platform that allows users to calculate or visualize the data insights in various fields like engineering, scientific domain, or multi-sector industrial stats.
Key OriginPro features:
Comprehensive Data Analysis Customizable Graphs User-friendly Interface Integration with Other Tools
-
Analyse-it is a Data Analytic software that provides businesses with all the tools they need to carry out in-depth statistical analysis in MS Excel.
Key Analyse-it features:
Comprehensive Analysis Excel Integration Ease of Use Real-time Computing