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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Derby

    Score7 out of 10
    N/AApache Derby is an embedded relational database management system, originally developed by IBM and called IBM Cloudscape.N/A

    QuestDB

    Score10 out of 10
    N/AQuestDB is an open source time series database. It implements SQL and exposes a Postgres wire protocol, a REST API, and supports ingestion with InfluxDB line protocol.N/A
    Pricing
    Apache DerbyQuestDB
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    Apache DerbyQuestDB
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    Apache DerbyQuestDB
    Small Businesses
    No answers on this topic
    InfluxDB
    Score9 out of 10
    Medium-sized Companies
    No answers on this topic
    No answers on this topic
    Enterprises
    No answers on this topic
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache DerbyQuestDB
    Likelihood to Recommend
    7.0
    (3 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Apache DerbyQuestDB
    Likelihood to Recommend
    Apache
    If you need a SQL-capable database-like solution that is file-based and embeddable in your existing Java Virtual Machine processes, Apache Derby is an open-source, zero cost, robust and performant option. You can use it to store structured relational data but in small files that can be deployed right alongside with your solution, such as storing a set of relational master data or configuration settings inside your binary package that is deployed/installed on servers or client machines.
    Incentivized
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    QuestDB
    QuestDB is well suited for any use case where you need to store large amount of data and the performance is the key factor - for both reads and writes. So use cases like market data storage in financial industry, any kind of telemetry, etc.
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    Pros
    Apache
    • Apache Derby is SMALL. Compared to an enterprise scale system such as MSSQL, it's footprint is very tiny, and it works well as a local database.
    • The SPEED. I have found that Apache Derby is very fast, given the environment I was developing in.
    • Based in JAVA (I know that's an obvious thing to say), but Java allows you to write some elegant Object Oriented structures, thus allowing for fast, Agile test cases against the database.
    • Derby is EASY to implement and can be accessed from a console with little difficulty. Making it appropriate for everything from small embedded systems (i.e. just a bash shell and a little bit of supporting libraries) to massive workstations.
    Incentivized
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    QuestDB
    • Extreme performance.
    • Super easy to use.
    • Compatibility with Influx line protocol.
    • PostgreSQL compatibility.
    • Out of order timestamps.
    • Support for multiple records with same timestamp.
    • Integration with Grafana.
    • Team responsiveness.
    Read full review
    Cons
    Apache
    • It may not scale as well as some more mature database products.
    • Used it primarily from the command line with openjpa and jdbc, and from third-party clients such as Squirrel.
    • May benefit by providing more sophisticated tools to optimize query performance.
    Incentivized
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    QuestDB
    • New project so needs a bit polishing.
    Read full review
    Alternatives Considered
    Apache
    SQLite is another open-source zero-cost file-based SQL-capable database solution and is a good alternative to Apache Derby, especially for non-Java-based solutions. We chose Apache Derby as it is Java-based, and so is the solution we embedded it in. However, SQLite has a similar feature set and is widely used in the industry to serve the same purposes for native solutions such as C or C++-based products.
    Incentivized
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    QuestDB
    We were looking for time series database that will be able to handle L2 market data and came across QuestDB. From the beginning we were impressed how well the QuestDB performs and that it actually significantly outperforms all other open source TSDB on market like InfluxDB, ClickHouse, Timescale, etc. Apart from the excellent performance it is also super easy to use and deploy which makes the experience of using the database very pleasant - we were able to be up and running and storing data within few hours. Topic itself is the QuestDB team that is super responsive on their slack channel and always ready to help with any query. They are constantly improving the product and if there is some missing feature that is blocking you from usage they always try the best to implement such feature asap and release a new version - one of the best support I have ever seen so far in open source community.
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    Return on Investment
    Apache
    • Being Open source, the resources spent on the purchase of the product are ZERO.
    • Contrary to popular belief, open source software CAN provide support, provided that the developers/contributors are willing to answer your emails.
    • Overall, the ROI was positive: being able to experiment with an open source technology that could perform on par with the corporate products was promising, and gave us much information about how to proceed in the future.
    Incentivized
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    QuestDB
    • Reduced cost.
    • Increased efficiency.
    • Faster time to market.
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    ScreenShots

    QuestDB Screenshots

    Screenshot of Fast SQL for time seriesScreenshot of Console to query and visualize dataF