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Google Cloud AI vs. IBM InfoSphere Information Server

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud AI

    Score8.7 out of 10
    N/AGoogle Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.N/A

    IBM InfoSphere Information Server

    Score10 out of 10
    N/AIBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.N/A
    Pricing
    Google Cloud AIIBM InfoSphere Information Server
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Google Cloud AIIBM InfoSphere Information Server
    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
    Features
    Google Cloud AIIBM InfoSphere Information Server
    Data Source Connection
    Comparison of Data Source Connection features of Google Cloud AI and IBM InfoSphere Information Server
    Feature
    Google Cloud AI
    -
    Ratings
    IBM InfoSphere Information Server
    8.7
    4 Ratings
    4% above category average
    Connect to traditional data sources00 Ratings9.94 Ratings
    Connecto to Big Data and NoSQL00 Ratings7.54 Ratings
    Data Transformations
    Comparison of Data Transformations features of Google Cloud AI and IBM InfoSphere Information Server
    Feature
    Google Cloud AI
    -
    Ratings
    IBM InfoSphere Information Server
    9.6
    4 Ratings
    17% above category average
    Simple transformations00 Ratings10.04 Ratings
    Complex transformations00 Ratings9.24 Ratings
    Data Modeling
    Comparison of Data Modeling features of Google Cloud AI and IBM InfoSphere Information Server
    Feature
    Google Cloud AI
    -
    Ratings
    IBM InfoSphere Information Server
    8.0
    4 Ratings
    1% above category average
    Data model creation00 Ratings8.72 Ratings
    Metadata management00 Ratings7.74 Ratings
    Business rules and workflow00 Ratings8.44 Ratings
    Collaboration00 Ratings8.04 Ratings
    Testing and debugging00 Ratings7.14 Ratings
    Data Governance
    Comparison of Data Governance features of Google Cloud AI and IBM InfoSphere Information Server
    Feature
    Google Cloud AI
    -
    Ratings
    IBM InfoSphere Information Server
    9.7
    4 Ratings
    18% above category average
    Integration with data quality tools00 Ratings10.04 Ratings
    Integration with MDM tools00 Ratings9.53 Ratings
    Best Alternatives
    Google Cloud AIIBM InfoSphere Information Server
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    TensorFlow
    Score7.6 out of 10
    Informatica PowerCenter (legacy)
    Score9.3 out of 10
    Enterprises
    TensorFlow
    Score7.6 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud AIIBM InfoSphere Information Server
    Likelihood to Recommend
    8.0
    (7 ratings)
    8.9
    (5 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    8.0
    (1 ratings)
    Usability
    8.0
    (2 ratings)
    -
    (0 ratings)
    Support Rating
    7.3
    (3 ratings)
    -
    (0 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud AIIBM InfoSphere Information Server
    Likelihood to Recommend
    Google
    Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
    Incentivized
    Read full review
    IBM
    Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.
    Read full review
    Pros
    Google
    • good conversion from the voice to the text
    • speed in the conversion from voice to text
    • time-saving in the conversion activity
    • analysis of the results of the conversion in real time
    Incentivized
    Read full review
    IBM
    • IIS best for ETL ,not ELT , and many and diffrent source systems.
    • It also can process big data , unstuctured data
    • It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems
    Incentivized
    Read full review
    Cons
    Google
    • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
    • Customization of existing modules and libraries is harder and it does need time and experience to learn.
    • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
    Incentivized
    Read full review
    IBM
    • I would be nice to have a new web development environment for DataStage.
    • Connectivity Packs such as Pack for SAP Application are a little pricey.
    • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
    Incentivized
    Read full review
    IBM
    • Scale of implementation
    • IBM techsupport
    Incentivized
    Read full review
    Usability
    Google
    I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
    Read full review
    IBM
    No answers on this topic
    Support Rating
    Google
    Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
    Incentivized
    Read full review
    IBM
    No answers on this topic
    Implementation Rating
    Google
    In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
    Incentivized
    Read full review
    IBM
    No answers on this topic
    Alternatives Considered
    Google
    These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
    Incentivized
    Read full review
    IBM
    DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
    Read full review
    Return on Investment
    Google
    • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
    • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
    • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
    Incentivized
    Read full review
    IBM
    • Productivity of the development of integration processes.
    • Better documentation and governance.
    • Reduce training costs of various technologies.
    Read full review
    ScreenShots