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H2 Database Engine vs. PrestoDB (or Presto)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    H2 Database

    Score8 out of 10
    N/AH2 Database Engine is an open source, embeddable database management system (RDMS) written in Java.N/A

    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
    Pricing
    H2 DatabasePrestoDB (or Presto)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    H2 DatabasePrestoDB (or Presto)
    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
    H2 DatabasePrestoDB (or Presto)
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    Medium-sized Companies
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    Score8.8 out of 10
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    Score8.2 out of 10
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    Score8 out of 10
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    H2 DatabasePrestoDB (or Presto)
    Likelihood to Recommend
    8.0
    (2 ratings)
    7.8
    (2 ratings)
    User Testimonials
    H2 DatabasePrestoDB (or Presto)
    Likelihood to Recommend
    Open Source
    For running application tests it's well suited. H2 [Database Engine] can replace the real-world database solution for them easily and removes the requirement to set up a a separate database instance just for running unit tests. For using in actual production application one needs to consider scale. H2 is suitable if application runs in single instance and database is located in same machine as a file where that application runs. This means the application shouldn't have a large user base. However it's easy to switch to an actual MySQL instance if the need arises, it's most likely only a configuration change and doesn't require new code.
    Incentivized
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    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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    Pros
    Open Source
    • Can run as an in-memory database.
    • Simple and quick to get started with, and is light weight (only 2MB).
    • SQL compliant so it compatible with most relational databases.
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    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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    Cons
    Open Source
    • There's a warning in official FAQ "Is it Reliable?"-section which makes it seem like H2 is not yet a mature product.
    • If raw SQL queries are used there maybe be differences between MySQL & H2. ORM library should be used.
    • Support seems to be community-based only.
    Incentivized
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    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.
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    Alternatives Considered
    Open Source
    While both can run as an in-memory database, H2 Database Engine was just so much easier for us to use since we primarily use the Java stack and H2 Database Engine is also built with Java.
    Incentivized
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    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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    Return on Investment
    Open Source
    • Doesn't take time from developers, once it's configs are set up for testing it works in everyone's development environments
    • Easy to integrate in application, no need to setup separate database software, no maintenance
    • No need to deal with infrastructure related issues/costs - database runs in same machine as the application that uses it.
    Incentivized
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    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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