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Anaconda vs. IBM Watson Studio on Cloud Pak for Data vs. OneNote

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Anaconda

    Score8.8 out of 10
    N/AAnaconda is an enterprise Python platform that provides access to open-source Python and R packages used in AI, data science, and machine learning. These enterprise-grade solutions are used by corporate, research, and academic institutions for competitive advantage and research.

    $0

    per month

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A

    OneNote

    Score7.8 out of 10
    N/AMicrosoft's OneNote is a digital note-taking app, supporting photos, annotating, web page clipping, emailing, and synchronizing notes across devices.N/A
    Pricing
    AnacondaIBM Watson StudioOneNote
    Editions & Modules
    Free Tier
    $0
    per month
    Starter Tier
    $15
    per month per user
    Business
    $50
    per month per user
    Custom
    Contact Sales
    No answers on this topic
    Microsoft OneNote
    Free
    Offerings
    Pricing Offerings
    AnacondaIBM Watson StudioOneNote
    Free Trial
    NoNoNo
    Free/Freemium Version
    YesNoYes
    Premium Consulting/Integration Services
    YesNoNo
    Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
    Additional Details———
    More Pricing Information
    Community Pulse
    AnacondaIBM Watson StudioOneNote
    Considered Multiple Products
    Anaconda
    Chose Anaconda
    I prefer Anaconda due to the control I have at every level over the data and the visualizations. Power BI does a better job at guessing what graphics to use, but these usually aren't the most helpful. Anaconda and the slew of Python extensions that add incredible functionality, …
    Incentivized
    IBM
    Chose IBM Watson Studio
    SPSS - Totally different approaches, SPSS UI is now a well-known name with a well-established user base who we consider aren´t going anywhere but Statistics.

    Modeler - A proven analytical solution with capabilities to deal with huge datasets, scalability offers you now the …
    Incentivized
    Chose IBM Watson Studio
    The mix of proprietary and open-source benefits that DSx offers gives me more flexibility than any other options I have encountered. I have the custom program building capability of Anaconda with the built-in predictive models of SPSS Modeler. I have more visualization …
    Incentivized
    Chose IBM Watson Studio
    DSx stands out in that deployment can be done easily through Watson ML whereas for other technologies separate paradigms are needed.
    Incentivized
    Chose IBM Watson Studio
    Elastic Search is based only on json format, while with IBM DSX I have no restrictions on this. One main limitation however appears in DSX when there are issues in importing different types of datasets in the notebook. In particular, the json importing fails somehow with nested …
    Incentivized
    Chose IBM Watson Studio
    Revolution R Enterprise
    Dataiku DSS
    Cloudera
    Incentivized
    Chose IBM Watson Studio
    I selected IBM Data Science Experience (DSx) because it promotes collaboration. That being said, it could be a bit challenging to prevent people who use it for the first time, because the interface could seem a bit complex for some - said by people I worked with. Therefore, it …
    Incentivized
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    96%
    Would buy again
    24 Answers
    100%
    Would buy again
    5 Answers
    96%
    Would buy again
    25 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    23 Answers
    No answers on this topic
    100%
    Delivers good value for the price
    25 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    25 Answers
    100%
    Happy with the feature set
    5 Answers
    96%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    94%
    Lived up to sales and marketing promises
    15 Answers
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    21 Answers
    No answers on this topic
    94%
    Implementation went as expected
    16 Answers
    Features
    AnacondaIBM Watson StudioOneNote
    Platform Connectivity
    Comparison of Platform Connectivity features of Anaconda and IBM Watson Studio on Cloud Pak for Data and OneNote
    Feature
    Anaconda
    9.3
    25 Ratings
    11% above category average
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    OneNote
    -
    Ratings
    Connect to Multiple Data Sources9.822 Ratings8.022 Ratings00 Ratings
    Extend Existing Data Sources8.024 Ratings8.022 Ratings00 Ratings
    Automatic Data Format Detection9.721 Ratings10.021 Ratings00 Ratings
    MDM Integration9.614 Ratings6.414 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Anaconda and IBM Watson Studio on Cloud Pak for Data and OneNote
    Feature
    Anaconda
    8.5
    25 Ratings
    1% above category average
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    18% above category average
    OneNote
    -
    Ratings
    Visualization9.025 Ratings10.022 Ratings00 Ratings
    Interactive Data Analysis8.024 Ratings10.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Anaconda and IBM Watson Studio on Cloud Pak for Data and OneNote
    Feature
    Anaconda
    9.0
    26 Ratings
    9% above category average
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    OneNote
    -
    Ratings
    Interactive Data Cleaning and Enrichment8.823 Ratings10.022 Ratings00 Ratings
    Data Transformations8.026 Ratings10.021 Ratings00 Ratings
    Data Encryption9.719 Ratings8.020 Ratings00 Ratings
    Built-in Processors9.620 Ratings10.021 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Anaconda and IBM Watson Studio on Cloud Pak for Data and OneNote
    Feature
    Anaconda
    9.2
    24 Ratings
    8% above category average
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    OneNote
    -
    Ratings
    Multiple Model Development Languages and Tools9.023 Ratings10.021 Ratings00 Ratings
    Automated Machine Learning8.921 Ratings10.022 Ratings00 Ratings
    Single platform for multiple model development10.024 Ratings10.022 Ratings00 Ratings
    Self-Service Model Delivery9.019 Ratings8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Anaconda and IBM Watson Studio on Cloud Pak for Data and OneNote
    Feature
    Anaconda
    9.5
    21 Ratings
    10% above category average
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    7% below category average
    OneNote
    -
    Ratings
    Flexible Model Publishing Options10.021 Ratings9.022 Ratings00 Ratings
    Security, Governance, and Cost Controls9.020 Ratings7.022 Ratings00 Ratings
    Best Alternatives
    AnacondaIBM Watson StudioOneNote
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    RapidMiner
    Score8.9 out of 10
    Google Keep
    Score9.2 out of 10
    Medium-sized Companies
    Jupyter Notebook
    Score8.6 out of 10
    Anaconda
    Score8.8 out of 10
    Google Keep
    Score9.2 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Posit
    Score10 out of 10
    Google Keep
    Score9.2 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    AnacondaIBM Watson StudioOneNote
    Likelihood to Recommend
    10.0
    (38 ratings)
    8.0
    (65 ratings)
    8.3
    (74 ratings)
    Likelihood to Renew
    7.0
    (1 ratings)
    8.2
    (1 ratings)
    10.0
    (13 ratings)
    Usability
    9.0
    (3 ratings)
    9.6
    (2 ratings)
    7.7
    (14 ratings)
    Availability
    -
    (0 ratings)
    8.2
    (1 ratings)
    10.0
    (2 ratings)
    Performance
    -
    (0 ratings)
    8.2
    (1 ratings)
    8.8
    (3 ratings)
    Support Rating
    8.9
    (9 ratings)
    8.2
    (1 ratings)
    8.7
    (10 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    -
    (0 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    -
    (0 ratings)
    8.2
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    7.3
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    8.2
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    AnacondaIBM Watson StudioOneNote
    Likelihood to Recommend
    Anaconda
    I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
    Incentivized
    Read full review
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    Microsoft
    In my opinion OneNote is a must for anyone who does business. It’s versatile, stable and sustainable. It can keep private information private - like passwords. It can be used for collaborative work - like standard operating procedures. It is fairly easy to use and far superior to pen and paper. When used for meeting notes, it can be flagged with icons that are searchable - like ideas or important items. You can even create Outlook tasks on the fly
    Incentivized
    Read full review
    Pros
    Anaconda
    • Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
    • Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
    • Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
    Incentivized
    Read full review
    IBM
    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Incentivized
    Read full review
    Microsoft
    • Because of its flexibility and ability to hold different types of content (text, images, tables), it is a great tool for collecting content from different resources and organizing it in one place.
    • Technical support analysts are using sections for their support case analysis; they paste pieces of logs, screen-shots, document their steps in troubleshooting etc., all in one section, to get the full picture yet stay organized.
    • The logic of content structure; Notebook>Section>Page>Paragraph, allows you to manage and collect all needed information by the areas of the user's responsibility. For example; each of my projects has its own section, in which each page is a task.
    Incentivized
    Read full review
    Cons
    Anaconda
    • It can have a cloud interface to store the work.
    • Compatible for large size files.
    • I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
    Incentivized
    Read full review
    IBM
    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Incentivized
    Read full review
    Microsoft
    • The table editing tools are too simplistic and lack the features found in other Office products.
    • Some content loses its rich text formatting when being pasted into OneNote. A workaround is to paste the content first into Outlook or Word and then copy/pasting that into OneNote.
    • Microsoft is moving away from a local install of OneNote, which means notebooks have to be in the cloud in Office 2019. This will actually reduce the usefulness of OneNote in some environments and opens the door to competitor products.
    • Update: Microsoft has now announced that it will continue to support OneNote 2016 through 2023. https://techcommunity.microsoft.com/t5/Office-365-Blog/Your-OneNote/ba-p/954922
    Incentivized
    Read full review
    Likelihood to Renew
    Anaconda
    It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
    Incentivized
    Read full review
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
    Read full review
    Microsoft
    As this is not a compulsory tool in our organization, I would say all depends on the decision makers, however since this is a part of MS Office, I am sure we will have it for as long as we will possibly need it. However, I would not be so sure, if it was a separate product
    Read full review
    Usability
    Anaconda
    I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
    Incentivized
    Read full review
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    Microsoft
    I find OneNote incredibly usable. I'm fairly middle of the road when it comes to tech savvy-ness. The platform was very easy to learn and explore. I like that OneNote is no clunky and offers a clean interface. This is important when it comes to deciding if a tool is usable for multiple people.
    Incentivized
    Read full review
    Reliability and Availability
    Anaconda
    No answers on this topic
    IBM
    From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Performance
    Anaconda
    No answers on this topic
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    Microsoft
    Overall, I rate OneNote's performance highly. In general, notebooks, sections and pages load quickly. OneNote integrates with other apps and info ca easily be shared/copied to and from the tool to other tools. Moreover, Notebooks tend to sync quickly meaning shared notebooks are up to date almost immediately provided there are no syncing issues.
    Incentivized
    Read full review
    Support Rating
    Anaconda
    Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
    Incentivized
    Read full review
    IBM
    I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
    Incentivized
    Read full review
    Microsoft
    Since it is part of Microsoft Office and used across the globe there are a lot of support options available. It's quickest to just do a google search which will have plenty of articles to help you since there are so many OneNote users but as an Office customer you also have access to Microsoft support and I have had good experiences with their support (probably because I'm with a large company who is a large customer to them).
    Incentivized
    Read full review
    In-Person Training
    Anaconda
    No answers on this topic
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Online Training
    Anaconda
    No answers on this topic
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Implementation Rating
    Anaconda
    No answers on this topic
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Alternatives Considered
    Anaconda
    I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
    Incentivized
    Read full review
    IBM
    The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
    Incentivized
    Read full review
    Microsoft
    I tried using Evernote and it is an equally usable tool, however, I prefer the interface and capabilities of OneNote. OneNote seems much easier to use and understand. I think that may primarily be because OneNote is a Microsoft application and I am very used to using Microsoft applications such as Word, Excel, etc. I also use OneNote to keep my grocery list. It does as good of a job as the grocery list applications out there, only I like the flexibility I have with OneNote and how I specifically do my shopping.
    Incentivized
    Read full review
    Scalability
    Anaconda
    No answers on this topic
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
    Read full review
    Microsoft
    No answers on this topic
    Return on Investment
    Anaconda
    • It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
    • By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
    • There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
    Incentivized
    Read full review
    IBM
    • Could instantly show data driven insights to drive 20% incremental revenue over existing results
    • Still don't have a real use case for unstructured data like twitter feed
    • Some of the insights around user actions have driven new projects to automate mundane tasks
    Incentivized
    Read full review
    Microsoft
    • OneNote has become our organizational standard method of taking electronic notes (though some still prefer pen and paper.) It has been a zero cost outlay due to its freely available nature.
    • Its integration with other Microsoft Office products makes it easy to share notes and content between products, allowing for easy collaboration where needed.
    • OneNote's integration with OneDrive ensures that individual's notes are always safe and secure, taking away the tedious responsibility of backup from the user, and makes it happen seamlessly in the background.
    Incentivized
    Read full review
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