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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    PrestoDB (or Presto)

    Score10 out of 10
    N/APresto is an open source SQL query engine designed to run queries on data stored in Hadoop or in traditional databases. Teradata supported development of Presto followed the acquisition of Hadapt and Revelytix.N/A

    Scala

    Score6 out of 10
    N/AScala in Malvern, PA offers their digital signage software which provides Designer for content design, Content Manager for content organization and control, and Player for content viewing. Notably the software supports a wide array of digital signage including touchscreen kiosks and service for direct customer engagement and interaction.N/A
    Pricing
    PrestoDB (or Presto)Scala
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    PrestoDB (or Presto)Scala
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
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    Best Alternatives
    PrestoDB (or Presto)Scala
    Small Businesses
    Amazon RDS
    Score8.1 out of 10
    No answers on this topic
    Medium-sized Companies
    SingleStore
    Score8.2 out of 10
    No answers on this topic
    Enterprises
    SAP IQ
    Score5.4 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    PrestoDB (or Presto)Scala
    Likelihood to Recommend
    7.8
    (2 ratings)
    6.4
    (2 ratings)
    Support Rating
    -
    (0 ratings)
    8.8
    (2 ratings)
    User Testimonials
    PrestoDB (or Presto)Scala
    Likelihood to Recommend
    Open Source
    Presto is for interactive simple queries, where Hive is for reliable processing. If you have a fact-dim join, presto is great..however for fact-fact joins presto is not the solution.. Presto is a great replacement for proprietary technology like Vertica
    Incentivized
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    Scala
    If you are in the data science world, Scala is the best language to work with Spark, the defacto data science data store. I think that is really the main likely reason I would ever recommend Scala. Another reason is if you already have a team of programmers familiar with functional programming, e.g. they all have years of Haskell experience. In that case, I definitely think Scala is a superior and faster-growing language than Haskell and that picking up Scala after Haskell should be quick.
    Incentivized
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    Pros
    Open Source
    • Linking, embedding links and adding images is easy enough.
    • Once you have become familiar with the interface, Presto becomes very quick & easy to use (but, you have to practice & repeat to know what you are doing - it is not as intuitive as one would hope).
    • Organizing & design is fairly simple with click & drag parameters.
    Incentivized
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    Scala
    • Organizing different playlists.
    • Coordinating content schedule and running time.
    Incentivized
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    Cons
    Open Source
    • Presto was not designed for large fact fact joins. This is by design as presto does not leverage disk and used memory for processing which in turn makes it fast.. However, this is a tradeoff..in an ideal world, people would like to use one system for all their use cases, and presto should get exhaustive by solving this problem.
    • Resource allocation is not similar to YARN and presto has a priority queue based query resource allocation..so a query that takes long takes longer...this might be alleviated by giving some more control back to the user to define priority/override.
    • UDF Support is not available in presto. You will have to write your own functions..while this is good for performance, it comes at a huge overhead of building exclusively for presto and not being interoperable with other systems like Hive, SparkSQL etc.
    Incentivized
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    Scala
    • The built-in compiler, scalac, is sssssssssslllllooooowwwwww. I mean like, if you thought the Java compiler was slow, try Scala! The default compiler on my 12k line codebase takes 4 minutes to compile from scratch on my i7 quad-core machine. This can be mitigated through the paid solution of Hydra which compiles your code in parallel. Unfortunately, it's quite expensive and your legal department or finance department may not approve of it. But if they do, for me, it reduced my compile time down to 80 seconds, much more manageable.
    • Scala is not going anywhere and support for it is slowly dying. This is the main reason I would not choose Scala for my next company or project. Important Scala libraries such as secure social (which is used for OAuth, a major requirement of every web app) are hardly maintained. Another library that suffers from lack of updates is Slick, the database mapper. There aren't enough engineers working on it to even provide support for the new features that came out in Postgres 9.0 (e.g. JSONb). There is simply not enough of a community to drive Scala forward and keep 3rd party libraries up to date as Java world does it.
    • As a corollary of a stagnant community, hiring Scala developers is hard as well. Of the 30 backend engineers we've hired, only 3 came in already knowing Scala. And as I will mention below, this is a BIG problem because learning Scala is really tough.
    • The learning curve for Scala is very, very steep. Anecdotally, I came into my current company with strong Java experience. Java is the closest language to Scala but it took me 6 months before I stopped needing to pair program on easy tickets. It doesn't help that Scala has some weird syntax like Map[A, +B] and that it forces you to do functional programming.
    Incentivized
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    Support Rating
    Open Source
    No answers on this topic
    Scala
    The customer service team is very responsive and usually returns calls or emails within a couple of hours of placing a request or inquiry. Just about every rep I've spoken to has been very thorough and helpful, walking me through each problem and explaining the solutions in a way that's easy to understand.
    Incentivized
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    Alternatives Considered
    Open Source
    Presto is good for a templated design appeal. You cannot be too creative via this interface - but, the layout and options make the finalized visual product appealing to customers. The other design products I use are for different purposes and not really comparable to Presto.
    Incentivized
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    Scala
    No answers on this topic
    Return on Investment
    Open Source
    • Presto has helped scale Uber's interactive data needs. We have migrated a lot out of proprietary tech like Vertica.
    • Presto has helped build data driven applications on its stack than maintain a separate online/offline stack.
    • Presto has helped us build data exploration tools by leveraging it's power of interactive and is immensely valuable for data scientists.
    Incentivized
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    Scala
    • Negative: slow engineer onboarding. As I mentioned before, it took me 6 months to get up-to-speed on Scala and didn't need to bother more senior Scala engineers anymore for help with every ticket. That's hundreds of hours I wasted of myself and other engineer's time.
    • Positive: thread safety, no concurrency bug. The ROI on this one is really hard to calculate, but I do believe Scala has saved me hundreds of hours over the past few years by allowing me to never have to worry about deadlocks or race conditions. Scala is simply so safe we've never had race conditions within the JVM before.
    • Negative: third-party libraries aren't maintained so we have to fork and update them ourselves. As I mentioned before, we use Securesocial but it stopped receiving updates and there is simply no alternative to it. So, we forked it and put an engineer on it for a month to get it back up-to-date. What a waste of his time!
    Incentivized
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