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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

    Panoply

    Score8.6 out of 10
    N/APanoply, from Sqream since the late 2021 acquisition, is an ETL-less, smart end-to-end data management system built for the cloud. Panoply specializes as a unified ELT and Data Warehouse platform with integrated visualization capabilities and storage optimization algorithms.N/A
    Pricing
    Apache DerbyPanoply
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache DerbyPanoply
    Free Trial
    NoYes
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Panoply offers simple, transparent pricing. All plans have a 21-day free trial—no credit card required. You'll get an account executive and data architect to help you get the most out of your smart data warehouse. Pricing starts at $325/month.
    More Pricing Information
    Best Alternatives
    Apache DerbyPanoply
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    Apache Spark
    Score8.8 out of 10
    Enterprises
    No answers on this topic
    Apache Spark
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Apache DerbyPanoply
    Likelihood to Recommend
    7.0
    (3 ratings)
    10.0
    (4 ratings)
    Usability
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Apache DerbyPanoply
    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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    Sqream Technologies
    Panoply is well suited for companies with large amounts of data that do not want all users of the company to see or view. It is appropriate for companies that have to store data for several years in case clients need the data. It is not made to constantly be downloading or looking at the documents.
    Incentivized
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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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    Sqream Technologies
    • Ease of data integrations. Importing data into the data warehouse is a point-and-click effort.
    • Automated data modeling. The data is modeled in a way that facilitates analysis without having to look into it myself.
    • Query speed. Automated query optimization has really sped up our dashboards.
    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
    Read full review
    Sqream Technologies
    • The user interface could use some improvement for analytical tools. Apart from that, it’s great.
    Read full review
    Usability
    Apache
    No answers on this topic
    Sqream Technologies
    It’s a good choice for building a quick, multipurpose data stack for a variety of businesses needs.
    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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    Sqream Technologies
    Panoply has much more storage and better organization tools for searching. There are better folders and tools for keeping documents secure and stored for a long period of time. It is better to offload data in mass than singular or Zip drive documents like you would do in Google Drive.
    Incentivized
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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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    Sqream Technologies
    • Saved time on Redshift setup
    • Saved support costs (monetary and temporal) by not having to set up on-premise
    • Widens the BI tool use in organization; lowers the barrier to entry and makes organization more productive in analytical terms
    Read full review
    ScreenShots

    Panoply Screenshots

    Screenshot of Simply click to connect 100 data sources.