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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    ClickHouse

    Score7.2 out of 10
    N/AClickHouse is an open-source, column-oriented OLAP database system enabling real-time analytical reports using SQL queries. With linear scalability, it handles trillions of rows and petabytes of data. ClickHouse Cloud offers a scalable serverless solution for real-time analytics.N/A

    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
    Pricing
    ClickHouseApache Derby
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    ClickHouseApache Derby
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsPay for what is used: It automatically scales up and down compute resources based on the user's workload It scales storage and compute separately It automatically scales unused resources down to zero so that users don’t pay for idle services—
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    Best Alternatives
    ClickHouseApache Derby
    Small Businesses
    No answers on this topic
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    Medium-sized Companies
    Snowflake
    Score8.7 out of 10
    No answers on this topic
    Enterprises
    Snowflake
    Score8.7 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    ClickHouseApache Derby
    Likelihood to Recommend
    10.0
    (2 ratings)
    7.0
    (3 ratings)
    User Testimonials
    ClickHouseApache Derby
    Likelihood to Recommend
    ClickHouse, Inc.
    The most important thing when using ClickHouse is to be clear that the scenarios in which you want to use it really are the right ones. Many users think that when a database is very fast for a specific use case, it can be extrapolated to other contexts (most of the time different) in which a previous analysis has not been carried out.
    ClickHouse is an analytical database, as such, it should be used for such purposes, where the information is stored correctly, the data volumes are really large and the queries to be performed are not the typical traditional queries on several columns with multiple aggregations. ClickHouse is not the solution for this.
    On the other hand, if your case is not one of the above, it is quite possible that ClickHouse can help you. Where ClickHouse shines is when you are looking for aggregation over a particular column in large volumes of data.
    Incentivized
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    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.
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    Pros
    ClickHouse, Inc.
    • Their MergeTree table engine provide impressive performance for data insert in bulk
    • Not only data insert but also the way MergeTree engine uses Primary Keys to sort the data and perform data skipping based on the granules its also their secret for ridiculous fast queries
    • Data compression its also great
    • They provide especial table engines that allow you to read data directly from other sources like S3
    • Since its written with C++ you have very granular data types and especial ones like enum, LowCardinality and etc, they save you a lot of storage since are stored as integer values
    • ClickHouse functions besides the ones that respect ANSI Standards are also awesome and useful
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    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.
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    Cons
    ClickHouse, Inc.
    • Avro data manipulation
    • Kafka consistency
    • DDL operations errors (by replica configuration)
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    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.
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    Alternatives Considered
    ClickHouse, Inc.
    ClickHouse outperforms, especially in costs, since its compression/indexing engines are so smart, and even with very low computing power, you can already perform huge analyses of the data.
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    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.
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    Return on Investment
    ClickHouse, Inc.
    • Queries that used to take more than 2 minutes now take less than 1 second
    • Possibility to analyze use cases in real time (before was impossible)
    • The applications are more complete and the users decisions are better
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    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.
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