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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Parquet

    N/AN/AApache Parquet is an open source and free, column-oriented data file format designed for efficient data storage and retrieval. It provides data compression and encoding schemes with enhanced performance to handle complex data in bulk. Parquet is available in multiple languages including Java, C++, Python, etc.

    $0

    H2 Database

    Score8 out of 10
    N/AH2 Database Engine is an open source, embeddable database management system (RDMS) written in Java.N/A
    Pricing
    Apache ParquetH2 Database
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache ParquetH2 Database
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Best Alternatives
    Apache ParquetH2 Database
    Small Businesses
    Redis Software
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    Medium-sized Companies
    IBM Cloudant
    Score7.4 out of 10
    PostgreSQL
    Score8.3 out of 10
    Enterprises
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    SQLite
    Score9.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache ParquetH2 Database
    Likelihood to Recommend
    -
    (0 ratings)
    8.0
    (2 ratings)
    User Testimonials
    Apache ParquetH2 Database
    Likelihood to Recommend
    Apache
    No answers on this topic
    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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    Pros
    Apache
    No answers on this topic
    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.
    Incentivized
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    Cons
    Apache
    No answers on this topic
    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
    Read full review
    Alternatives Considered
    Apache
    No answers on this topic
    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
    Read full review
    Return on Investment
    Apache
    No answers on this topic
    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
    Read full review
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