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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Pytorch

    Score9.4 out of 10
    N/APytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.N/A

    Snowflake

    Score8.7 out of 10
    N/AThe Snowflake Cloud Data Platform is the eponymous data warehouse with, from the company in San Mateo, a cloud and SQL based DW that aims to allow users to unify, integrate, analyze, and share previously siloed data in secure, governed, and compliant ways. With it, users can securely access the Data Cloud to share live data with customers and business partners, and connect with other organizations doing business as data consumers, data providers, and data service providers.N/A
    Pricing
    PytorchSnowflake
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    PytorchSnowflake
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    PytorchSnowflake
    Considered Both Products
    Open Source
    No answer on this topic
    Snowflake Computing
    Chose Snowflake
    Our initial data warehousing solution was Treasure Data. We had issues with the costly pricing model, which would be exhorbitant if we want to hold our data in memory and query using Presto. As a result, some heavy lifting was done in Hive (managed by Treasure Data); …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    6 Answers
    100%
    Would buy again
    30 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    6 Answers
    100%
    Delivers good value for the price
    28 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    6 Answers
    100%
    Happy with the feature set
    30 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    5 Answers
    96%
    Lived up to sales and marketing promises
    23 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    5 Answers
    100%
    Implementation went as expected
    25 Answers
    Best Alternatives
    PytorchSnowflake
    Small Businesses
    TensorFlow
    Score7.6 out of 10
    No answers on this topic
    Medium-sized Companies
    Google Cloud AI
    Score8.7 out of 10
    Amazon Redshift
    Score8.9 out of 10
    Enterprises
    Google Cloud AI
    Score8.7 out of 10
    Amazon Redshift
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    PytorchSnowflake
    Likelihood to Recommend
    9.0
    (6 ratings)
    9.0
    (44 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    7.0
    (3 ratings)
    Usability
    10.0
    (1 ratings)
    8.8
    (20 ratings)
    Support Rating
    -
    (0 ratings)
    9.9
    (8 ratings)
    Contract Terms and Pricing Model
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    PytorchSnowflake
    Likelihood to Recommend
    Open Source
    They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch.
    Incentivized
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    Snowflake Computing
    Snowflake is well suited when you have to store your data and you want easy scalability and increase or decrease the storage per your requirement. You can also control the computing cost, and if your computing cost is less than or equal to 10% of your storage cost, then you don't have to pay for computing, which makes it cost-effective as well.
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    Pros
    Open Source
    • flexibility
    • Clean code, close to the algorithm.
    • Fast
    • Handles GPUs, multiple GPUs on a single machine, CPUs, and Mac.
    • Versatile, can work efficiently on text/audio/image/tabular datasets.
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    Snowflake Computing
    • Snowflake scales appropriately allowing you to manage expense for peak and off peak times for pulling and data retrieval and data centric processing jobs
    • Snowflake offers a marketplace solution that allows you to sell and subscribe to different data sources
    • Snowflake manages concurrency better in our trials than other premium competitors
    • Snowflake has little to no setup and ramp up time
    • Snowflake offers online training for various employee types
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    Cons
    Open Source
    • Since pythonic if developing an app with pytorch as backend the response can be substantially slow and support is less compares to Tensorflow
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    Snowflake Computing
    • Add constraints for views and not just for tables
    • Do not force customers to renew for same or higher amount to avoid loosing unused credits. Already paid credits should not expire (at least within a reasonable time frame), independent of renewal deal size.
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    Likelihood to Renew
    Open Source
    No answers on this topic
    Snowflake Computing
    SnowFlake is very cost effective and we also like the fact we can stop, start and spin up additional processing engines as we need to. We also like the fact that it's easy to connect our SQL IDEs to Snowflake and write our queries in the environment that we are used to
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    Usability
    Open Source
    The big advantage of PyTorch is how close it is to the algorithm. Oftentimes, it is easier to read Pytorch code than a given paper directly. I particularly like the object-oriented approach in model definition; it makes things very clean and easy to teach to software engineers.
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    Snowflake Computing
    Because the fact that you can query tons of data in a few seconds is incredible, it also gives you a lot of functions to format and transform data right in your query, which is ideal when building data models in BI tools like Power BI, it is available as a connector in the most used BI tools worldwide.
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    Support Rating
    Open Source
    No answers on this topic
    Snowflake Computing
    We have had terrific experiences with Snowflake support. They have drilled into queries and given us tremendous detail and helpful answers. In one case they even figured out how a particular product was interacting with Snowflake, via its queries, and gave us detail to go back to that product's vendor because the Snowflake support team identified a fault in its operation. We got it solved without lots of back-and-forth or finger-pointing because the Snowflake team gave such detailed information.
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    Alternatives Considered
    Open Source
    Pytorch is very, very simple compared to TensorFlow. Simple to install, less dependency issues, and very small learning curve. TensorFlow is very much optimised for robust deployment but very complicated to train simple models and play around with the loss functions. It needs a lot of juggling around with the documentation. The research community also prefers PyTorch, so it becomes easy to find solutions to most of the problems. Keras is very simple and good for learning ML / DL. But when going deep into research or building some product that requires a lot of tweaks and experimentation, Keras is not suitable for that. May be good for proving some hypotheses but not good for rigorous experimentation with complex models.
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    Snowflake Computing
    I have had the experience of using one more database management system at my previous workplace. What Snowflake provides is better user-friendly consoles, suggestions while writing a query, ease of access to connect to various BI platforms to analyze, [and a] more robust system to store a large amount of data. All these functionalities give the better edge to Snowflake.
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    Return on Investment
    Open Source
    • The ability to make models as never before
    • Being able to control the bias of models was not done before the arrival of Pytorch in our company
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    Snowflake Computing
    • With separate compute and storage feature, the queries get executed quickly and it improves our overall productivity.
    • Earlier we were using a different product for analytical purposes, but with Snowflake's in-built analytical feature we are now able to save money.
    • Snowflake is cost efficient, features like auto suspend for compute resources helped to control the costs.
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    ScreenShots

    Snowflake Screenshots

    Screenshot of Snowflake Installation