ClickHouse vs. MariaDB Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
ClickHouse
Score 7.1 out of 10
N/A
ClickHouse 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
MariaDB Platform
Score 9.9 out of 10
N/A
MariaDB is an open-source relational database made by the original developers of MySQL, supported by the MariaDB Foundation and a community of developers. The community states recent additional capabilities as including clustering with Galera Cluster 4, compatibility with Oracle Database, and Temporal Data Tables, allowing one to query the data as it stood at any point in the past.N/A
Pricing
ClickHouseMariaDB Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
ClickHouseMariaDB Platform
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
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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Community Pulse
ClickHouseMariaDB Platform
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User Ratings
ClickHouseMariaDB Platform
Likelihood to Recommend
10.0
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
10.0
(0 ratings)
Support Rating
-
(0 ratings)
8.7
(0 ratings)
User Testimonials
ClickHouseMariaDB Platform
Likelihood to Recommend
ClickHouse delivers exceptional speed and performance, positioning it as the top choice for managing large-scale analytical workloads. With a bunch of built-in functions, it empowers analysts to extract maximum insights from data effortlessly. If your scenario is to deal with analytical questions, then ClickHouse is for you, but if you are looking into a transactional database, that's not the case; even their table engines are not made for this.
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Our installation scenario is a MariaDB cluster composed of 3 nodes to achieve high availability in the service and in this way the application that accesses the backend (MariaDB) is always working and is not down at any time.
To achieve high performance of the application when accessing the database, a MariaDB MaxScale has been mounted that acts as a proxy for queries to the database.
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Pros
  • 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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  • MariaDB does well with PHP or Python (django) in a web environment. Developers are able to work quickly.
  • MariaDB is extremely well documented and has a gigantic support community. If you need ask a question on how to do things you can go to many placces online and find answers quickly.
  • MariaDB is fast! Queries with tens of thousands of rows are quick.
  • MariaDB is highly compatible with Oracle's MySQL. Basically the same thing but more open and with a brighter future.
  • With MariaDB it is so easy to import and export data, and backups are a cinch. This saves me so much time as compared to other RDBMS.
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Cons
  • Avro data manipulation
  • Kafka consistency
  • DDL operations errors (by replica configuration)
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  • Driver Support - Some third party applications use database drivers that cause unexplained slowness with MariaDB. This can be worked around by using the MySQL drivers, but it's not clear what causes the problem in the first place.
  • Support - While online communities are helpful in diagnosing problems, there isn't as much professional documentation/support available for MariaDB as some of the other major database options.
  • Data Visualization - It would be helpful if there were more built in options for analyzing statistics and generating reports.
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Usability
No answers on this topic
MariaDB is very usable and stable to be used in production settings as an alternative to MySQL. The shortcomings of SQL are present but well understood in the community, and if the decision were to be made again, I would choose MariaDB over MySQL on future projects.
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Support Rating
No answers on this topic
Yes, I would recommend MariaDB Platform support because they answer very fast and with detailed information. They also help you with the design of the storage infrastructure, not only with the maintenance problems. On the other hand, this service is a bit expensive.
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Alternatives Considered
ClickHouse was not compared to them as a competitor but as the ideal partner to complete an information analysis system, providing users with the most complete and efficient tools. Therefore, in this case it was considered that it would be the ideal candidate due to its characteristics compared to the other competitors.
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It did not always compete against these technologies. Most of the time, it was complementing these databases for certain use cases to help provide a much more complete database. This makes more users want to use it to explore new solutions that help users. This is our target and how [we] work with MariaDb.
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Return on Investment
  • 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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  • MariaDB has saved us enormously on licensing compared to our previous DB software vendor.
  • In service, it has enabled us (speaking as the internal DB team here) to provide better service to the other teams in the company as well as our customers, with less staff.
  • The level of hardware required for adequate performance, in our environment, has been much lower. Those savings have been substantial, above and beyond savings on licensing and DBA staffing levels.
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