Home > Business Intelligence Tools > NVivo > NVivo vs KNIME

NVivo vs KNIME

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Our analysts compared NVivo vs KNIME based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Overview Pricing Benefits & Features User Ratings Analyst Summary Screenshots
NVivo Software Tool
KNIME Software Tool
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Product Basics

NVivo is a qualitative data analysis solution for academic and industrial research. It lets users code and visualize their findings from interviews, surveys, text documents and demographic information. It’s helpful in social sciences, education and healthcare.

It has a friendly interface, powerful searches and advanced graphics. Once set up, the system can perform automatic sentiment analysis. Users can record the coding schemes and use them across the data. Documenting the steps enables future researchers to validate the research.

The vendor offers exclusive modules for collaboration and transcription. Its Collaboration Cloud lets many people work on the same project.

Pros
  • Powerful data management
  • Rich coding and query tools
  • Visualizations and data exploration
  • Team collaboration features
  • Support for various data formats
Cons
  • Steep learning curve
  • Can be expensive for individuals
  • Limited free trial/demo
  • Not ideal for simple projects
  • Occasional bugs and glitches
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KNIME is an open-source end-to-end data analytics solution. It utilizes visual workflows with drag-and-drop functionality and thousands of nodes to lessen the data analytics learning curve data, with more than 1,800 prebuilt default workflows for streamlined setup.

It allows for data ingestion, preparing, cleansing, analyzing and visualizing. It can be scaled for deeper analytics through integrations with sophisticated data modeling capabilities. It can be hosted on-premise or in the cloud through Microsoft Azure.
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$99/User, Monthly
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$0 Open-Source
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Android
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On-Premise
Mobile
Cloud
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Mobile

Product Assistance

Documentation
In Person
Live Online
Videos
Webinars
Documentation
In Person
Live Online
Videos
Webinars
Email
Phone
Chat
FAQ
Forum
Knowledge Base
24/7 Live Support
Email
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FAQ
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24/7 Live Support

Product Insights

  • Boost ROI: Tap into buyer sentiment by noting their needs and preferences and applying them to product development. Push sales by fine-tuning marketing campaigns.
  • Innovate: Launch new products and improve existing offerings. Go beyond numbers and discover what customers think and feel with thematic and sentiment analysis.
  • Act: Save time while searching for information. Organize data from various sources, such as interviews, surveys and social media, in one system.
  • Improve Services: Build stronger customer associations by serving them better. Identify their pain points and improvement areas by analyzing feedback.
  • Save Money: Free resources for more strategic work by automating tasks like transcription — auto-code interviews with NVivo 14.
  • Test Drive: Try it for 14 days free, including the Collaboration Cloud.
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  • Open-Source: Join a network of thousands of users, enabling collaboration and support. The source code is free to download and access.  
  • Free To Use: Save money by getting access to all of the platform’s features for free. Licensed productivity and collaboration extensions are available at a cost. 
  • Increased Business Intelligence: Get digestible, actionable data to make informed business decisions. Aggregating large datasets into predictive and prescriptive models via comprehensive visualizations and summary statistics gives users projections for the best course of action.  
  • Scalable: Obtain access to big data by scaling up the project in-platform. Integrations to distributed and multi-threaded data processing allow projects to grow. 
  • End-To-End Analytics:  It is capable of handling some tasks from start to finish without integrations. Additional integrations may be required for increasing scale and completing more sophisticated analytics. 
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  • Data Import: Pull data from mobile apps like Evernote and organize it using folders, sets or file classifications. It supports transcripts, articles, audio/video recordings and social media content.
  • Qualitative Analysis: Uncover hidden insights using powerful search tools. It turns interviews, surveys and documents into charts, word clouds and maps.
  • Thematic Analysis: Understand findings after digging deep into gathered data and spot emerging themes.
  • Integrations: Combine research materials in one place. Allows direct imports from Microsoft Office. Plus, it can use data from SurveyMonkey and social media platforms.
  • Sharing and Publishing: Export results, models and charts to various formats, including Excel, Word, text, rich-text and PDF files. Use the system clipboard to copy and paste graphics into reports and presentations.
  • Transcription: Review and edit transcripts, tag speakers, and add notes, then import transcripts directly into NVivo for analysis. NVivo Transcription auto-transcribes uploaded audio files, with support for 28 languages.
  • Multilingual Options: Analyze data in Chinese, Japanese, English, French, German and Portuguese, among other languages.
  • Collaboration Cloud: Work together to co-author research projects. A user uploads a master project to a secure cloud workspace, enabling others to download and work on it offline and then seamlessly merge their edits back into the main project.
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  • Sharing and Collaboration: KNIME Hub is an online repository for existing workflows, nodes and extensions that can be easily installed into a user’s workflow. Upload workflows and search for the components needed for projects. 
  • In-database or Distributed Processing: Process data in-database or through a distributed cluster like Apache Spark for increasing scale. It has prebuilt workflows for in-database processing, like SQL Servers. 
  • Model Predictions and Validation: Using machine learning and AI, produce predictive and prescriptive models. Use performance metrics such as AUC and R2 to verify models.  
  • Visual Workflows: Using a drag-and-drop interface, compose a workflow with little to no coding. Prebuilt generic workflows and components can be downloaded from KNIME Hub. 
  • Data Management: Handles all steps of the extract, transform and load processes. It can ingest, blend, prepare, cleanse and store structured and unstructured data. It can combine data types, including PDF, JSON, CSV and unstructured types like documents and images. 
  • Data Visualizations: Compile analyses into reports with heat graphs, bar charts, scatter plots and more. Visualizations can be exported as PDFs, PowerPoints or other formats.  
  • Tool Blending: Tools with unique domains can be combined within a workflow via native nodes. These include Python or R scripting, processing connectors, machine learning and AI. 
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Product Ranking

#42

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#89

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User Sentiment Summary

Great User Sentiment 179 reviews
Great User Sentiment 236 reviews
82%
of users recommend this product

NVivo has a 'great' User Satisfaction Rating of 82% when considering 179 user reviews from 2 recognized software review sites.

89%
of users recommend this product

KNIME has a 'great' User Satisfaction Rating of 89% when considering 236 user reviews from 4 recognized software review sites.

4.1 (133)
4.3 (41)
4.1 (46)
4.6 (18)
n/a
4.6 (139)
n/a
3.9 (38)

Synopsis of User Ratings and Reviews

Data Management: Organize and store various data types (text, audio, video, images) in one secure location.
Flexible Coding: Employ diverse coding approaches (tree, auto and query) to categorize and analyze data based on research questions.
Relationship Exploration: Uncover connections and hierarchies between codes using visual network maps and relationship coding.
Advanced Querying: Search coded data for specific terms, patterns or code combinations to identify key themes and trends.
Visualizations: Generate various visualizations (word clouds and concept maps) to present complex data findings clearly.
Collaboration: Share and collaborate on projects with other researchers using cloud-based options or file exports (depending on the version).
Support & Resources: Benefit from extensive online resources, tutorials, and user communities for troubleshooting and learning best practices.
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Functionality: It provides a comprehensive set of nodes and functions to process large quantities of data, as noted by 69% of users who referred to functionality.
User Friendly: It is intuitive and easy to use, as noted by 79% of reviewers who refer to ease of use.
Connectivity: Around 77% of users who talked about connectivity mentioned its ability to seamlessly connect and integrate with multiple sources.
Cost: All users were happy that the solution is available free of charge, with no data limits.
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Steep Learning Curve: New users often report difficulty in mastering NVivo's features quickly, which impacts their productivity and project timelines.
High Cost: Some users find NVivo's pricing to be prohibitive, particularly those from smaller institutions or independent researchers with limited budgets.
Limited Cross-Platform Support: NVivo's limited compatibility with non-Windows operating systems can be a barrier for Mac or Linux users, who may have to seek alternatives or use virtual machines.
Resource Intensiveness: NVivo can be demanding on computer resources, leading to performance issues on less powerful machines, which can frustrate users when handling large data sets.
Occasional Software Bugs: Users occasionally encounter bugs that can disrupt workflow and require waiting for patches or updates, affecting the software’s dependability.
Rigid Licensing Policy: NVivo's licenses can be inflexible, and transferring a license to another computer can be problematic, causing inconvenience to users who need mobility.
Complex Data Importation: Some users find importing data from various sources into NVivo cumbersome, which could lead to a time-consuming setup process.
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Performance: Nearly 95% of reviewers who mentioned performance said that the solution runs slowly and uses too much CPU and memory.
Visualization: Approximately 67% of users who specified visualization talked about its lack of proper visualization options.
Support: About 67% of users who reviewed support mentioned how hard it is to get proper documentation or support.
Learning Curve: KNIME has a steep learning curve, according to about 64% of users who mentioned the learning curve.
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NVivo is qualitative data analysis software that received positive reviews from users. They appreciate its user-friendly interface, powerful features and ability to handle large datasets.However, some users complained about lax customer support and the occasional bug.NVivo is popular but not as robust as some of the other options. It’s also expensive. However, many users believe that the extra cost is worth it for the additional features and functionality. It has robust coding features to analyze large amounts of data quickly.Overall, NVivo is a user-friendly qualitative data analysis software that can be expensive and complex for individual users but is a handy assistant for teams.

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KNIME is a robust open-source solution with cross-platform interoperability. It integrates with a range of software, such as JS, R, Python and Spark. With a variety of nodes and functions, it can process large datasets with a decent level of control in each step. Workflows are displayed as connected nodes, making it easy to isolate and fix specific steps. It also contains built-in tools to create and test supervised and unsupervised machine learning models. Users found the UI very intuitive and flexible. On the flip side, they found the tool visually lacking and primitive. The system also has performance and stability issues. Processing big data is very time consuming since the platform isn’t cloud-based. Users reported excessive memory usage as well. It also lacks reporting or monitoring features. Decent technical knowledge is required to fully leverage its capabilities.

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