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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM watsonx.ai

    Score8.8 out of 10
    N/AWatsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.

    $0

    Workato

    Score9.3 out of 10
    N/AWorkato is a cloud or on-premise automation and integration platform with enterprise-grade capabilities and no coding required. Workato provides pre-built connectors to integrate with over 300 business applications and enables task automation across apps.N/A
    Pricing
    IBM watsonx.aiWorkato
    Editions & Modules
    Free Trial
    $0
    ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)
    Standard
    $1,050
    Monthly tier fee; additional usage based fees
    Essentials
    Contact Sales
    Usage based fees
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM watsonx.aiWorkato
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsPricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.—
    More Pricing Information
    Community Pulse
    IBM watsonx.aiWorkato
    Considered Both Products
    IBM
    No answer on this topic
    Workato
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    57%
    Would buy again
    4 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    36 Answers
    50%
    Delivers good value for the price
    3 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    46 Answers
    71%
    Happy with the feature set
    5 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    30 Answers
    67%
    Lived up to sales and marketing promises
    4 Answers
    Implementation went as expected
    89%
    Implementation went as expected
    33 Answers
    86%
    Implementation went as expected
    6 Answers
    Features
    IBM watsonx.aiWorkato
    AI Development
    Comparison of AI Development features of IBM watsonx.ai and Workato
    Feature
    IBM watsonx.ai
    6.6
    2 Ratings
    13% below category average
    Workato
    -
    Ratings
    Machine learning frameworks6.73 Ratings00 Ratings
    Data management6.43 Ratings00 Ratings
    Data monitoring and version control5.83 Ratings00 Ratings
    Automated model training6.43 Ratings00 Ratings
    Managed scaling7.03 Ratings00 Ratings
    Model deployment6.43 Ratings00 Ratings
    Security and compliance7.63 Ratings00 Ratings
    Cloud Data Integration
    Comparison of Cloud Data Integration features of IBM watsonx.ai and Workato
    Feature
    IBM watsonx.ai
    -
    Ratings
    Workato
    8.0
    38 Ratings
    1% below category average
    Pre-built connectors00 Ratings10.038 Ratings
    Connector modification00 Ratings10.036 Ratings
    Support for real-time and batch integration00 Ratings5.034 Ratings
    Data quality services00 Ratings6.031 Ratings
    Data security features00 Ratings9.034 Ratings
    Monitoring console00 Ratings8.038 Ratings
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    IBM watsonx.aiWorkato
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    Score7.8 out of 10
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    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
    IBM App Connect
    Score9 out of 10
    Enterprises
    DataRobot
    Score8.2 out of 10
    TIBCO Integration (including BusinessWorks and Flogo)
    Score8.9 out of 10
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    User Ratings
    IBM watsonx.aiWorkato
    Likelihood to Recommend
    9.2
    (36 ratings)
    9.0
    (38 ratings)
    Likelihood to Renew
    6.4
    (1 ratings)
    1.0
    (3 ratings)
    Usability
    7.7
    (6 ratings)
    9.0
    (4 ratings)
    Support Rating
    -
    (0 ratings)
    8.0
    (6 ratings)
    Implementation Rating
    -
    (0 ratings)
    3.0
    (1 ratings)
    Ease of integration
    6.4
    (2 ratings)
    -
    (0 ratings)
    Product Scalability
    9.1
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM watsonx.aiWorkato
    Likelihood to Recommend
    IBM
    I have built a code accelerator tool for one of the IBM product implementation. Although there was a heavy lifting at the start to train the model on specifics of the packaged solution library and ways of working; the efficacy of the model is astounding. Having said that, watsonx.ai is very well suited for customer service automation, healthcare data analytics, financial fraud detection, and sentiment analysis kind of projects. The Watsonx.ai look and feel is little confusing but I understand over a period of time , it will improve dramatically as well. I do feel that Watsonx.ai has certain limitations from cross-platform deployment flexibility. If an organization is deeply invested in a multi-cloud environment, Watson's integration on other cloud platforms may not be seamless comported to other AI platforms.
    Incentivized
    Read full review
    Workato
    Workato is brilliant to make separate applications work together without much effort or specialists being needed. When specific events on software A should trigger actions on B (or more) and you want that to happen without any development or big budgets, that's where Workato comes into play. It's a great help if you want tasks automated, communications flowing and data synced between different applications.
    Read full review
    Pros
    IBM
    • It allows specialists to apply several base models for specific subtasks in the field of NLP.
    • Gives the availability of many models developed for AI enhancement for different solutions.
    • Has incorporated functionality for data governance and security to support access to AI tools by multiple users.
    Incentivized
    Read full review
    Workato
    • The Workato product interface is brilliantly thought through and designed. The learning curve for first timers is easy enough to get started and build useful things, and Workato really shines in their ability to handle complex triggers and interactions. Workato allows people to build software apps so much faster than by coding each functionality.
    • Workato has fantastic documentation, making things accessible without any holes in the product. The product just works, never has any bugs, never lags, and just generally allows us to see and change exactly what we need to.
    • Workato has an absolutely amazing support team. We tried the free version for a while, then realized it was the single most important software tool we have, and we upgraded. The support at the paid tier is A+, seriously the best from any company we've worked with. Feels more like a good friend then a support rep.
    Read full review
    Cons
    IBM
    • IBM watsonx.ai is expensive than other platforms.
    • Limited integraions though it has many but still some tools integrations not there for medical usecase
    • Its little difficult to learn as right now not many open reseouces
    • Community is not that strong to get any answer
    Incentivized
    Read full review
    Workato
    • Customer support - responsive, but often not equipped to help efficiently identify root cause of issue. Need to improve escalation to technical resources and turnaround time
    • Recipe organization and sharing. Can be challenging to copy recipes, or grab recipes from publicly available site. There are often dependencies and errors that have vague descriptions.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
    Incentivized
    Read full review
    Workato
    We need to develop Enterprise Application Integrations and Workato was not designed for this
    Read full review
    Usability
    IBM
    I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
    Incentivized
    Read full review
    Workato
    The sheer work Workato eliminates from people's daily jobs is simply a great contribution to people's productivity and a boost to capability. It actually strikes the balance between business and tech teams. It also reduces dependency on developers, and speeds up their delivery too. The only reason it's not a full 10/10 is for the price - it's a bit expensive for what we'd like, and their batch or high data volume processing can be improved.
    Read full review
    Support Rating
    IBM
    I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
    Incentivized
    Read full review
    Workato
    They employ an extremely knowledgeable team of problem solvers. I've never had a disappointing interaction or one that has left me still searching for answers. I know that when I ask for help, they'll partner with me until we find a solution together
    Incentivized
    Read full review
    Implementation Rating
    IBM
    No answers on this topic
    Workato
    We discovered that we could not use Workato for our more complex, large enterprise integrations. It was useful for simple workflows that matched the prebuilt recipes.
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    Alternatives Considered
    IBM
    IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind this project continues to grow and prosper.
    Incentivized
    Read full review
    Workato
    We already used Zapier, but since it doesn't support NetSuite we had to choose another automation platform. Now that we've been using Workato for a few months, we have plans to move the stuff we're going through Zapier to Workato. We set up a trial account with all the other platforms, and they were all more expensive and A LOT more complicated than Workato.
    Read full review
    Scalability
    IBM
    I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
    Incentivized
    Read full review
    Workato
    No answers on this topic
    Return on Investment
    IBM
    • Time saving to set up the infrastructure - without watsonx.ai we would have had to set up everything individually
    • The first point translates directly into cost savings
    • The compliance aspect was a game changer for us and provided us with the confidence to focus all our efforts only on IBM watsonx.ai
    Incentivized
    Read full review
    Workato
    • As business consultants, Workato has greatly improved our offerings to our clients as well as improved the time frame to implement automated workflows and integrations.
    • For our clients, the return on investment is almost immediate. Once a Workato recipe is up and running (which can be done very fast), data is integrating, duplicate data entry and user errors are eliminated, and cross-company KPI metrics are easier to report than ever.
    Read full review
    ScreenShots

    IBM watsonx.ai Screenshots

    Screenshot of the foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of the Prompt Lab in watsonx.ai, where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of the Tuning Studio in watsonx.ai, where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of the data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.