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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

    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
    ClickHouseH2 Database
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    ClickHouseH2 Database
    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—
    More Pricing Information
    Best Alternatives
    ClickHouseH2 Database
    Small Businesses
    No answers on this topic
    MariaDB Platform
    Score9.1 out of 10
    Medium-sized Companies
    Snowflake
    Score8.7 out of 10
    PostgreSQL
    Score8.8 out of 10
    Enterprises
    Snowflake
    Score8.7 out of 10
    SQLite
    Score8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    ClickHouseH2 Database
    Likelihood to Recommend
    10.0
    (2 ratings)
    8.0
    (2 ratings)
    User Testimonials
    ClickHouseH2 Database
    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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    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
    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
    Incentivized
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    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
    ClickHouse, Inc.
    • Avro data manipulation
    • Kafka consistency
    • DDL operations errors (by replica configuration)
    Incentivized
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    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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    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.
    Incentivized
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    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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    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
    Incentivized
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    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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