Anaconda vs KNIME comparison

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Anaconda Logo
2,604 views|1,970 comparisons
94% willing to recommend
Knime Logo
10,774 views|7,422 comparisons
93% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and KNIME based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Anaconda vs. KNIME Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages.""The virtual environment is very good.""Voice Configuration and Environmental Management Capabilities are the most valuable features.""The solution is stable.""It has a lot of functionality available, supports many libraries, and the developers are continually improving it.""The most advantageous feature is the logic building.""The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results.""The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors."

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"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way.""It's a very powerful and simple tool to use.""From a user-friendliness perspective, it's a great tool.""This solution is easy to use and it can be used to create any kind of model.""There are a lot of connectors available in KNIME.""Since KNIME is a no-code platform, it is easy to work with.""It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.""Stability is excellent. I would give it a nine out of ten."

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Cons
"It also takes up a lot of space.""Anaconda should be optimized for RAM consumption.""A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area.""The solution would benefit from offering more automation.""I think that the framework can be improved to make it easier for people to discover and use things on their own.""Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.""Having a small guide or video on the tool would help learn how to use it and what the features are.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

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"Data visualization needs improvement.""It could input more data acquisitions from other sources and it is difficult to combine with Python.""They should look at other vendors like Alteryx that are more user friendly and modern.""There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool.""The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data.""KNIME's documentation is not strong.""I've had some problems integrating KNIME with other solutions.""I would prefer to have more connectivity."

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Pricing and Cost Advice
  • "The licensing costs for Anaconda are reasonable."
  • "The product is open-source and free to use."
  • "My company uses the free version of the tool. There is also a paid version of the tool available."
  • "The tool is open-source."
  • "Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
  • More Anaconda Pricing and Cost Advice →

  • "It is free of cost. It is GNU licensed."
  • "KNIME desktop is free, which is great for analytics teams. Server is well priced, depending on how much support is required."
  • "KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."
  • "The price of KNIME is quite reasonable and the designer tool can be used free of charge."
  • "It's an open-source solution."
  • "The price for Knime is okay."
  • "At this time, I am using the free version of Knime."
  • "This is an open-source solution that is free to use."
  • More KNIME Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.
    Top Answer:Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks, which can be expensive. It works on all systems and is not subscription-based.
    Top Answer:A lot of people and companies are investing in creating automated data cleaning and processing environments. Anaconda is a bit behind in that area. Maybe a graphical user interface where we can just… more »
    Top Answer:Since KNIME is a no-code platform, it is easy to work with.
    Top Answer:We're using the free academic license just locally. I went for KNIME because they have a free academic license. And to be honest, I never bothered to check the prices.
    Top Answer:KNIME is not good at visualization. I would like to see NLQ (Natural language query) and automated visualizations added to KNIME.
    Ranking
    13th
    Views
    2,604
    Comparisons
    1,970
    Reviews
    4
    Average Words per Review
    391
    Rating
    8.8
    4th
    Views
    10,774
    Comparisons
    7,422
    Reviews
    20
    Average Words per Review
    506
    Rating
    7.9
    Comparisons
    RapidMiner logo
    Compared 27% of the time.
    Microsoft Power BI logo
    Compared 20% of the time.
    Alteryx logo
    Compared 13% of the time.
    Dataiku logo
    Compared 8% of the time.
    Weka logo
    Compared 7% of the time.
    Also Known As
    KNIME Analytics Platform
    Learn More
    Overview

    Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

    Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

    KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available. 

    KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME, you can perform functions ranging from basic I/O to data manipulations, transformations and data mining. It consolidates all the functions of the entire process into a single workflow. The solution covers all main data wrangling and machine learning techniques, and is based on visual programming.

    KNIME Features

    KNIME has many valuable key features. Some of the most useful ones include:

    • Scalability through data handling (intelligent automatic caching of data in the background while maximizing throughput performance)
    • High extensibility via a well-defined API for plugin extensions
    • Intuitive user interface
    • Import/export of workflows
    • Parallel execution on multi-core systems
    • Command line version for "headless" batch executions
    • Activity dashboard
    • Reporting & statistics
    • Third-party integrations
    • Workflow management
    • Local automation
    • Metanode linking
    • Tool blending
    • Big Data extensions

    KNIME Benefits

    There are many benefits to implementing KNIME. Some of the biggest advantages the solution offers include:

    • Integrated Deployment: KNIME’s integrated deployment moves both the selected model, and the entire data model preparation process into production simply and automatically, allowing for continuous optimization in production and also saving time because it eliminates error.
    • Elastic and Hybrid Execution: KNIME’s elastic and hybrid executions helps you reduce costs while covering periods of high demand, dynamically.
    • Metadata Mapping: KNIME enables complete metadata mapping of all aspects of your workflow. In addition, KNIME offers blueprint workflows for documenting the nodes, data sources, and libraries used, as well as runtime information.
    • Guided Analytics: KNIME’s guided analytics applications can be customized based on reusable components.
    • Powerful analytics, local automation, and workflow difference: KNIME uses advanced predictive and machine learning algorithms to provide you with the analytics you need. In combination with powerful analytics, KNIME’s automation capabilities and workflow difference prepare your organization with the tools you need to make better business decisions.
    • Supports enterprise-wide data science practices: The deployment and management functionalities of KNIME make it easy to productionize data science applications and services, and deliver usable, reliable, and reproducible insights for the business.
    • Helps you leverage insights gained from your data: Using KNIME ensures the data science process immediately reflects changing requirements or new insights.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the KNIME solution.

    An Emeritus Professor at a university says, “It can read many different file formats. It can very easily tidy up your data, deleting blank rows, and deleting rows where certain columns are missing. It allows you to make lots of changes internally, which you do using JavaScript to put in the conditional. It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.”

    Benedikt S., CEO at SMH - Schwaiger Management Holding GmbH, explains, “All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function. Technical support has been extremely responsive so far. The solution has a very strong and supportive community that shares information and helps each other troubleshoot. The solution is very stable. The initial setup is pretty simple and straightforward.”

    Piotr Ś., Test Engineer at ProData Consult, says, “What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.”

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company9%
    Government9%
    Manufacturing Company6%
    REVIEWERS
    University25%
    Comms Service Provider17%
    Retailer14%
    Government8%
    VISITORS READING REVIEWS
    Manufacturing Company12%
    Financial Services Firm11%
    Computer Software Company9%
    Educational Organization8%
    Company Size
    REVIEWERS
    Small Business45%
    Midsize Enterprise5%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business28%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise14%
    Large Enterprise67%
    Buyer's Guide
    Anaconda vs. KNIME
    May 2024
    Find out what your peers are saying about Anaconda vs. KNIME and other solutions. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 17 reviews while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Anaconda is rated 8.0, while KNIME is rated 8.2. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and Tableau, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Weka. See our Anaconda vs. KNIME report.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.