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Google Sheets vs. IBM Watson Studio on Cloud Pak for Data

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Sheets

    Score8.9 out of 10
    N/AGoogle Sheets is the spreadsheet app available on Google Workspace, or standalone, with a free plan for personal use and accessible via mobile apps for iOS and Android.N/A

    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
    Pricing
    Google SheetsIBM Watson Studio
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Google SheetsIBM Watson Studio
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    Google SheetsIBM Watson Studio
    Considered Both Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    Key User Insights
    Would buy again
    97%
    Would buy again
    90 Answers
    100%
    Would buy again
    5 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    86 Answers
    No answers on this topic
    Happy with the feature set
    96%
    Happy with the feature set
    89 Answers
    100%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    94%
    Lived up to sales and marketing promises
    49 Answers
    No answers on this topic
    Implementation went as expected
    97%
    Implementation went as expected
    60 Answers
    No answers on this topic
    Features
    Google SheetsIBM Watson Studio
    Platform Connectivity
    Comparison of Platform Connectivity features of Google Sheets and IBM Watson Studio on Cloud Pak for Data
    Feature
    Google Sheets
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Connect to Multiple Data Sources00 Ratings8.022 Ratings
    Extend Existing Data Sources00 Ratings8.022 Ratings
    Automatic Data Format Detection00 Ratings10.021 Ratings
    MDM Integration00 Ratings6.414 Ratings
    Data Exploration
    Comparison of Data Exploration features of Google Sheets and IBM Watson Studio on Cloud Pak for Data
    Feature
    Google Sheets
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Visualization00 Ratings10.022 Ratings
    Interactive Data Analysis00 Ratings10.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Google Sheets and IBM Watson Studio on Cloud Pak for Data
    Feature
    Google Sheets
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.022 Ratings
    Data Transformations00 Ratings10.021 Ratings
    Data Encryption00 Ratings8.020 Ratings
    Built-in Processors00 Ratings10.021 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Google Sheets and IBM Watson Studio on Cloud Pak for Data
    Feature
    Google Sheets
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings10.022 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of Google Sheets and IBM Watson Studio on Cloud Pak for Data
    Feature
    Google Sheets
    -
    Ratings
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Flexible Model Publishing Options00 Ratings9.022 Ratings
    Security, Governance, and Cost Controls00 Ratings7.022 Ratings
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    Score9 out of 10
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    Score9 out of 10
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    User Ratings
    Google SheetsIBM Watson Studio
    Likelihood to Recommend
    9.1
    (93 ratings)
    8.0
    (65 ratings)
    Likelihood to Renew
    10.0
    (3 ratings)
    8.2
    (1 ratings)
    Usability
    8.7
    (55 ratings)
    9.6
    (2 ratings)
    Availability
    9.5
    (2 ratings)
    8.2
    (1 ratings)
    Performance
    9.5
    (2 ratings)
    8.2
    (1 ratings)
    Support Rating
    8.0
    (1 ratings)
    8.2
    (1 ratings)
    In-Person Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Online Training
    -
    (0 ratings)
    8.2
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    7.3
    (1 ratings)
    Configurability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    9.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    9.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    9.8
    (2 ratings)
    8.2
    (1 ratings)
    Vendor post-sale
    9.0
    (1 ratings)
    7.3
    (1 ratings)
    Vendor pre-sale
    9.0
    (1 ratings)
    8.2
    (1 ratings)
    User Testimonials
    Google SheetsIBM Watson Studio
    Likelihood to Recommend
    Google
    Google Sheets is well suited in two main areas: is free to use and you don't need to buy a license to use it, comparing to the most direct competitors ; collaboration is in my opinion the best advantage, with multiple people working together and seeing others working in real time. It's less appropriate in low connectivity environments (offline capabilities)
    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
    Pros
    Google
    • Collaborative planning : In the initial phase of project, Team leads and architects create a permission matrix along with the naming convention simultaneously, seeing who is editing / adding the details in real-time.
    • Cost tracking : We use this tool to track cloud resource usage monthly costs, so that we can analyse it and send out comms for high cost based resources. By storing cost data here, it's easy for use to store data of last couple of years.
    • Flexible documentation : For change logging of different scenarios we would need different / ad-hoc columns to be added on the fly, which makes using this tool much simpler then reputed third party tools.
    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
    Cons
    Google
    • Ease of use - I collaborate with a lot of folks on these and a lot of them have trouble using it.
    • Would love more live features; for example, being able to have cells react to other inputs (checkboxes, etc) with reactive formatting
    • More cross-usability with other Google products; it's hard to think of drawbacks honestly, this is a pretty seamless software.
    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
    Likelihood to Renew
    Google
    I am not involved in the purchase/selection process, but my organization is a Google shop, and Sheets meets most of our spreadsheet needs and works seamlessly with our other tools. I don't anticipate our switching anytime soon.
    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
    Usability
    Google
    It can easily handle most uses and functions. It is only for very large datasets or advanced analysis that it either lacks the proper functions or performance begins to slow. Most employees who continue to use competitors' products do so out of preference, familiarity with the user interface, or other surface-level reasons.
    Incentivized
    Read full review
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    Reliability and Availability
    Google
    Like most Google products, Google Sheets rarely has outages or slowness, and when it does, connection is always momentarily restored. I can't recall a time when I've been unable to access Google Sheets but able to access other sites just fine. That said, errors aren't uncommon when handling large data volume. You know what they say about using spreadsheets as databases, but sometimes it's just the most convenient option, especially for smaller or one-off projects, and not being able to store large amounts of data hampers our ability to move quickly with scrappy prototypes or full solutions. It would be great if we could better integrate our data manipulation (Apps Script) with big data in the sheet.
    Incentivized
    Read full review
    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
    Performance
    Google
    Again, Google Sheets is no exception to Google's general high speed and reliability, but load times can be slow for larger amounts of data. I've used Sheets with Zapier and have used the Python API, and speed has never been an issue.
    Incentivized
    Read full review
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    Support Rating
    Google
    I have never contacted Google Sheets support, but Google Sheets makes it very easy to report an issue or suggest a feature from Sheets itself (Help > Help Sheets improve), and I've had mostly good experiences with support for other Google products.
    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
    In-Person Training
    Google
    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
    Online Training
    Google
    No answers on this topic
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Implementation Rating
    Google
    No answers on this topic
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Alternatives Considered
    Google
    I have found that I can do almost everything I could have done in Microsoft Excel faster and easier in Google Sheets. We recommend Google Sheets in 99.9% of our use cases and feel it meets the needs of our workers very well. I am sure there are other spreadsheet creation programs out there, but because we are already in the Google environment, adopting Google Sheets in very easy.
    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
    Contract Terms and Pricing Model
    Google
    I'm not involved with the purchase, but I assume everything goes smoothly and that the pricing structure is predictable and reasonable. We do not get surprise fees.
    Incentivized
    Read full review
    IBM
    No answers on this topic
    Scalability
    Google
    Google Sheets works very well with multiple users. It's convenient to see in real-time who is collaborating in a sheet, down to the specific cell that they're viewing/editing. Linking Sheets across departments is convenient with the IMPORTRANGE function.
    Incentivized
    Read full review
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
    Read full review
    Return on Investment
    Google
    • Don't need to pay for windows 365 license as it is free
    • Has a positive impact since I am not cursing excel for annoying problems(I don't want the new Pivot table format, I want to use Classic and I don't want to expand/collapse arrows. "x$#%")
    • [Haven't] looked at return on investment on work, but has "simplified" for basic and medium spreadsheets.
    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
    ScreenShots