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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    EDB Postgres Advanced Server

    Score8 out of 10
    N/AThe EDB Postgres Advanced Server is an advanced deployment of the PostgreSQL relational database with greater features and Oracle compatibility, from EnterpriseDB headquartered in Bedford, Massachusetts.N/A

    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
    Pricing
    EDB Postgres Advanced ServerPytorch
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    EDB Postgres Advanced ServerPytorch
    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
    EDB Postgres Advanced ServerPytorch
    Considered Both Products
    EnterpriseDB
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
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    100%
    Would buy again
    6 Answers
    Delivers good value for the price
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    100%
    Delivers good value for the price
    6 Answers
    Happy with the feature set
    No answers on this topic
    100%
    Happy with the feature set
    6 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    5 Answers
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    EDB Postgres Advanced ServerPytorch
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    User Ratings
    EDB Postgres Advanced ServerPytorch
    Likelihood to Recommend
    10.0
    (2 ratings)
    9.0
    (6 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    EDB Postgres Advanced ServerPytorch
    Likelihood to Recommend
    EnterpriseDB
    It's great if you are using or wish to use PostgreSQL and need the added performance optimization, security features and developer and DBA tools. If you need compatibility with Oracle it's a must-have. There are many developer features that greatly assist dev teams in integrating and implementing complex middleware. It's great for optimizing complex database queries as well as for scaling. I would recommend Postgres Plus Advanced Server for any software development team that is hitting the limit of what PostgreSQL is capable of and wants to improve performance, security, and gain extra developer tools.
    Incentivized
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    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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    Pros
    EnterpriseDB
    • PPAS Oracle compatibility, especially the PL/SQL syntax, has made migrating database-tier code very simple. Most Oracle packages do not need to be changed at all and those that do are generally for simple reasons like a reserved word in PPAS that is allowed in Oracle.
    • PPAS xDB, the multi-master replication tool, is simple and - most important - does not break with network or other interruptions. We have been able to configure and forget, which our customers could never do with other multi-master tools.
    • Most people had no idea that PPAS and PostgreSQL have full CRUD support for JSON. They think you need a specialized product and/or that JSON is read-only. Every organization that I have worked with is evaluating adding JSON to their relational model.
    Incentivized
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    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.
    Incentivized
    Read full review
    Cons
    EnterpriseDB
    • Documentation is excellent but spread out across many resources and can take a while to wade through—would benefit from having more intro level, getting started guides for various languages.
    • Ruby support is excellent but more Ruby examples and beginner-level documentation would be nice.
    • It is sometimes hard to find a community of users on StackOverflow so a larger community, and a dedicated forum with active members to answer questions and work through issues would be nice.
    Incentivized
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    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
    Incentivized
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    Usability
    EnterpriseDB
    No answers on this topic
    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.
    Incentivized
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    Alternatives Considered
    EnterpriseDB
    PPAS proved better for our customer's data-centric apps than Oracle in all but a few edge cases (encryption at rest and multi-TB database-tier backups) because it is simpler to install/maintain, runs nearly all Oracle-syntax SQL as well as ANSI SQL. PPAS has much more JSON capabilities (full CRUD vs. read-only in Oracle), simpler geospatial, simpler / more stable replication and datatypes that match developer expectations, such as BOOLEAN and ENUMs.
    Incentivized
    Read full review
    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.
    Incentivized
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    Return on Investment
    EnterpriseDB
    • Postgres Plus Advanced Server is quite complex and may take longer to implement certain things than simply using PostgreSQL depending on developer familiarity with the platform.
    • Getting up to speed can be daunting so again, there is an upfront cost in time spent learning the platform, besides the potential for extra time spent on a feature-by-feature basis.
    • The cost of Postgres Plus Advanced Server should be weighed against simply using PostgreSQL to decide which is the best solution for your business needs.
    Incentivized
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    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
    Incentivized
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