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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

    Rocket DevOps

    Score10 out of 10
    N/ARocket DevOps (formerly Rocket Aldon) enables true end-to-end (CI/CD) for IBM i+ environments. Businesses can extend holistic DevSecOps best practices to the IBM i, pursue innovative experimentation, easily respond to compliance audits, and adapt to the ever-changing expectations of process, technology, or experience.N/A
    Pricing
    PrestoDB (or Presto)Rocket DevOps
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    PrestoDB (or Presto)Rocket DevOps
    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
    Best Alternatives
    PrestoDB (or Presto)Rocket DevOps
    Small Businesses
    Amazon RDS
    Score8.1 out of 10
    No answers on this topic
    Medium-sized Companies
    SingleStore
    Score8.2 out of 10
    Azure DevOps
    Score8.1 out of 10
    Enterprises
    SAP IQ
    Score5.4 out of 10
    Azure DevOps Server
    Score8.5 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    PrestoDB (or Presto)Rocket DevOps
    Likelihood to Recommend
    7.8
    (2 ratings)
    6.0
    (2 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    7.0
    (1 ratings)
    User Testimonials
    PrestoDB (or Presto)Rocket DevOps
    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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    Rocket Software
    Rocket Aldon is perfect for simple changes to traditional IBM i development using RPGLE, CL, and DDS. It is great for finding related objects that are referenced in many locations and helping recompile all of these objects. However, Aldon has a particularly hard time with SQL views. For some reason, it is determined to lock every table related to a view even though this is not required by the operating system. Whenever one view references another view, you are always in danger of losing a view permanently if you didn't check it out and promote it. To clarify, imagine you created a view CUSTOMER_INFO. Then you make another view called CUSTOMER_SHIPMENTS that joins the CUSTOMER_INFO to a shipping table. If you ever change CUSTOMER_INFO and then promote it, there is a good chance that Aldon will delete the CUSTOMER_SHIPMENTS view and you will not get a single warning. It doesn't happen every time but when it does you are going to have a real mess on your hands.
    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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    Rocket Software
    • Allows flexibility for user groups
    • Scripting for releasing of code
    • Ease of comparing code versions within the tool
    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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    Rocket Software
    • SQL object promotions
    • User interface
    • Incomplete error checking
    • Fragmented promotion logs
    Incentivized
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    Likelihood to Renew
    Open Source
    No answers on this topic
    Rocket Software
    Based on current integration with our release process, we will need to keep this for the future.
    Incentivized
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    Support Rating
    Open Source
    No answers on this topic
    Rocket Software
    Support is hit and miss. Sometimes they give some great assistance and sometimes they are no help at all. It always seems like they can't replicate the problem but then they never try to get on our system to do deeper research. It's kind of frustrating dealing with them. Also, the website isn't that helpful.
    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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    Rocket Software
    Aldon provides needed functions for our current implementations and legacy systems. As we move toward modernization, we are going to look at alternatives from reviewing cost, integration capabilities and functionality
    Incentivized
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    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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    Rocket Software
    • Software promotion is much easier and doesn't require custom coding.
    • Developers can work collaboratively with less overlap.
    • Developers can find objects faster and research code more thoroughly.
    Incentivized
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