TrustRadius: an HG Insights company

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    TensorFlow

    Score7.6 out of 10
    N/ATensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.N/A

    Windward Core

    Score9.1 out of 10
    Mid-Size Companies (51-1,000 employees)
    Windward’s low-code document generation solution embeds into any application, enabling users to populate data-smart documents within the familiar landscape of Microsoft Office. It's a solution from PDFTron since the April 2021 acquisition.

    $190

    per month

    Pricing
    TensorFlowWindward Core
    Editions & Modules
    No answers on this topic
    Windward Hub Standard
    $19.00
    Per User, Per Month (10 user minimum)*
    Windward Hub Premium
    $49.00
    Per User, Per Month (10 user minimum)*
    Windward Core Pro
    $547.00
    per month*
    Windward Core Flex
    $605.00
    per month*
    Windward Hub Enterprise
    Custom Pricing
    Offerings
    Pricing Offerings
    TensorFlowWindward Core
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—*Pay annually: 15% discount 10% discount for quarterly payment of Windward Core.
    More Pricing Information
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    User Ratings
    TensorFlowWindward Core
    Likelihood to Recommend
    6.0
    (15 ratings)
    9.1
    (25 ratings)
    Usability
    9.0
    (1 ratings)
    9.1
    (16 ratings)
    Support Rating
    9.1
    (2 ratings)
    9.1
    (1 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    7.5
    (7 ratings)
    Data Sources
    -
    (0 ratings)
    8.5
    (7 ratings)
    User Testimonials
    TensorFlowWindward Core
    Likelihood to Recommend
    Open Source
    TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
    Incentivized
    Read full review
    Apryse
    Great for Technical Users. It's great for people a bit more on the technical side. It allows developers to quickly create and modify reporting templates without having to modify source code or make updates to a repository. Potentially Difficult for Non-Technical Users. Making substantial changes to the data portions of reporting can be a bit difficult for non-technical users. While Windward's tools for this are great, it still requires an understanding of the database schema which not all users will have.
    Incentivized
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    Pros
    Open Source
    • A vast library of functions for all kinds of tasks - Text, Images, Tabular, Video etc.
    • Amazing community helps developers obtain knowledge faster and get unblocked in this active development space.
    • Integration of high-level libraries like Keras and Estimators make it really simple for a beginner to get started with neural network based models.
    Incentivized
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    Apryse
    • Native Office output -- not nested tables and/or horrible RTF like other tools generate.
    • Ease of use -- once the data sources are set up, creating tables is as simple as drag and drop (okay, maybe not exactly that simple, but you can certainly create a table of data using drag and drop, then format it and manipulate it as needed).
    • Responsive developers and support -- when I've had questions, they've been addressed VERY quickly and professionally.
    Incentivized
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    Cons
    Open Source
    • RNNs are still a bit lacking, compared to Theano.
    • Cannot handle sequence inputs
    • Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
    Read full review
    Apryse
    • It is hard to pick out the tags if they are mixed in with a block of text.
    • Using report variables in select statements causes the selection list of available fields to not show anything.
    • The color themes do not match the office selection and it feels very disconnected.
    Read full review
    Usability
    Open Source
    Support of multiple components and ease of development.
    Incentivized
    Read full review
    Apryse
    For the most part, the Windward report designer is intuitive for our users; but there are a few areas where it is less intuitive. In these cases, our users need to search Windwards support wiki site, or even contact their support technicians. This can also be due to the short time we've had Windward and our lack of knowledge.
    Incentivized
    Read full review
    Support Rating
    Open Source
    Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
    Incentivized
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    Apryse
    Support is something they take pride in. Once an issue is raised, they are quick to respond and provide details on a fix. No complaints on support here.
    Read full review
    Implementation Rating
    Open Source
    Use of cloud for better execution power is recommended.
    Incentivized
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    Apryse
    No answers on this topic
    Alternatives Considered
    Open Source
    Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
    Incentivized
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    Apryse
    We evaluated several other products to integrate with our new software, but Windward Studios was an obvious standout above the majority. Other applications required some level of software development knowledge and experience to create templates and a much steeper learning curve. After consideration of ease of use, as well as a cost-comparison between different products, Windward Studios was the most suitable product to meet our needs.
    Incentivized
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    Return on Investment
    Open Source
    • Learning is s bit difficult takes lot of time.
    • Developing or implementing the whole neural network is time consuming with this, as you have to write everything.
    • Once you have learned this, it make your job very easy of getting the good result.
    Incentivized
    Read full review
    Apryse
    • As a fully integrated solution, the ROI is impacted when a client gets stickier with our solution because they see the benefit of Windward.
    • Support has been fantastic for our development team so that as we integrate the solutions we have a clear and clean design.
    Incentivized
    Read full review
    ScreenShots

    Windward Core Screenshots

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