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ClustrixDB vs MariaDB: What are the differences?

ClustrixDB: Clustered SQL database built for e-commerce. ClustrixDB is a scale-out SQL database built from the ground up with a distributed shared nothing architecture, automatic data redistribution (so you never need to shard), with built in fault tolerance, all accessible by a simple SQL interface and support for business critical MySQL features – replication, triggers, stored routines, etc; MariaDB: An enhanced, drop-in replacement for MySQL. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

ClustrixDB and MariaDB belong to "Databases" category of the tech stack.

Some of the features offered by ClustrixDB are:

  • Is built from the ground up with a shared-nothing architecture. There is no MySQL code in ClustrixDB
  • Is built to scale transactions while maintaning ACID
  • Scales to add capacity by simply adding commodity servers to the cluster

On the other hand, MariaDB provides the following key features:

  • Replication
  • Insert Delayed
  • Events

MariaDB is an open source tool with 2.82K GitHub stars and 864 GitHub forks. Here's a link to MariaDB's open source repository on GitHub.

- No public GitHub repository available -

What is ClustrixDB?

ClustrixDB is a scale-out SQL database built from the ground up with a distributed shared nothing architecture, automatic data redistribution (so you never need to shard), with built in fault tolerance, all accessible by a simple SQL interface and support for business critical MySQL features – replication, triggers, stored routines, etc.

What is MariaDB?

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.
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Why do developers choose MariaDB?

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      What companies use ClustrixDB?
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        What tools integrate with ClustrixDB?
        What tools integrate with MariaDB?
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          What are some alternatives to ClustrixDB and MariaDB?
          MySQL
          The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
          PostgreSQL
          PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
          MongoDB
          MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
          Microsoft SQL Server
          Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.
          SQLite
          SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
          See all alternatives
          Decisions about ClustrixDB and MariaDB
          StackShare Editors
          StackShare Editors
          MariaDB
          MariaDB
          MySQL
          MySQL

          Airbnb’s web experience is powered by a Rails monolith, called Monorail, that talks to several different Java services. MySQL databases store business data and are partitioned by functionality, with messages and calendar management, for example, stored separately from the main booking flow in their own databases.

          As traffic to the site continued growing, though, “one notable resource issue with MySQL databases [was] the increasing number of database connections from application servers.”

          Airbnb uses AWS’s Relational Database Service (RDS) to power their MySQL instances, and “RDS uses the community edition of MySQL server, which employs a one-thread-per-connection model of connection management.” With Airbnb’s scale, this meant that their databases would hit the C10K problem, which states that “there is an upper bound in the number of connections that MySQL server can accept and serve without dramatically increasing the number of threads running, which severely degrades MySQL server performance.”

          When an RDS MySQL server hits resource limits, users will have trouble connecting to the site.

          MySQL does have dynamic thread pooling, but it’s only available in the enterprise edition; AWS MySQL RDS, though, doesn’t offer this feature, meaning Airbnb didn’t have access to dynamic thread pooling out-of-the-box.

          After surveying several options, the team chose MariaDB MaxScale, which is “a MySQL database proxy that supports intelligent query routing in between client applications and a set of backend MySQL servers.”

          Instead of using the MariaDB MaxScale off-the-shelf, however, they decided to fork it and implement their own version that would include connection pooling. Other MaxScale features, like request throttling and query blocklisting were implemented as well.

          To enable horizontal scaling of the web application, the team deployed a MaxScale database proxy service in between app servers and MySQL servers. Through the service discovery system SmartStack, applications now “discover and connect to the database proxy service instead of the MySQL database,” allowing horizontal scaling to meet capacity demands.

          Additionally, new Airbnb MaxScale proxy server instances can be launched to further enable horizontal scaling.

          See more
          Amazon ElastiCache
          Amazon ElastiCache
          Amazon Elasticsearch Service
          Amazon Elasticsearch Service
          AWS Elastic Load Balancing (ELB)
          AWS Elastic Load Balancing (ELB)
          Memcached
          Memcached
          Redis
          Redis
          Python
          Python
          AWS Lambda
          AWS Lambda
          Amazon RDS
          Amazon RDS
          Microsoft SQL Server
          Microsoft SQL Server
          MariaDB
          MariaDB
          Amazon RDS for PostgreSQL
          Amazon RDS for PostgreSQL
          Rails
          Rails
          Ruby
          Ruby
          Heroku
          Heroku
          AWS Elastic Beanstalk
          AWS Elastic Beanstalk

          We initially started out with Heroku as our PaaS provider due to a desire to use it by our original developer for our Ruby on Rails application/website at the time. We were finding response times slow, it was painfully slow, sometimes taking 10 seconds to start loading the main page. Moving up to the next "compute" level was going to be very expensive.

          We moved our site over to AWS Elastic Beanstalk , not only did response times on the site practically become instant, our cloud bill for the application was cut in half.

          In database world we are currently using Amazon RDS for PostgreSQL also, we have both MariaDB and Microsoft SQL Server both hosted on Amazon RDS. The plan is to migrate to AWS Aurora Serverless for all 3 of those database systems.

          Additional services we use for our public applications: AWS Lambda, Python, Redis, Memcached, AWS Elastic Load Balancing (ELB), Amazon Elasticsearch Service, Amazon ElastiCache

          See more
          Joshua Dean Küpper
          Joshua Dean Küpper
          CEO at Scrayos UG (haftungsbeschränkt) · | 5 upvotes · 36.9K views
          atScrayos UG (haftungsbeschränkt)Scrayos UG (haftungsbeschränkt)
          Sentry
          Sentry
          GitLab
          GitLab
          PostgreSQL
          PostgreSQL
          MariaDB
          MariaDB

          We primarily use MariaDB but use PostgreSQL as a part of GitLab , Sentry and @Nextcloud , which (initially) forced us to use it anyways. While this isn't much of a decision – because we didn't have one (ha ha) – we learned to love the perks and advantages of PostgreSQL anyways. PostgreSQLs extension system makes it even more flexible than a lot of the other SQL-based DBs (that only offer stored procedures) and the additional JOIN options, the enhanced role management and the different authentication options came in really handy, when doing manual maintenance on the databases.

          See more
          Interest over time
          Reviews of ClustrixDB and MariaDB
          Review ofMariaDBMariaDB

          MySQL was founded by Allan Larsson, Michael Widenius and David Axmark in the year 1995, 19 years ago. It was released under the name of co-founder Michael Widenius daughter, ‘My‘. This project was released under GNU General Public License as well as under certain Proprietary License. MySQL was owned by MySQL AB firm until it went into the hands of Oracle Corporation. It is written in Programming Language – C and C++ and is available for Windows, Linux, Solaris, MacOS and FreeBSD.

          In the year 2009, Michael Widenius started working on MarisDB as a fork of MySQL. In the year 2012 the bricks of nonprofit MariaDB Foundation was laid. It was named after the founder’s daughter Maria.

          MariaDB is a fork of MySQL Relational Database Management System which again is released under GNU General Public License. It is written in Programming Language – C, C++, Perl and Bash and is available for Systems Linux, Windows, Solaris, MacOS and FreeBSD.

          How developers use ClustrixDB and MariaDB
          Avatar of Scrayos UG (haftungsbeschränkt)
          Scrayos UG (haftungsbeschränkt) uses MariaDBMariaDB

          Aside from Redis, we use MariaDB to store long-term information like user-data and big-data like regeneration-information for our open-world servers. We extensively use the relational aspects of MariaDB in joins, nested queries and unions.

          Avatar of Seungkwon Park
          Seungkwon Park uses MariaDBMariaDB

          mysql보다 mariaDB가 join면에서 우수하다는 문서를 읽었습니다. 이 부분은 저의 블로그에서도 다뤘고 저의 word press 블로그는 mysql 대신 mariaDB 를 사용합니다.

          특히 limit 기능이 pagenation 처리를 할 때 너무 직관적이고 편해서 mariaDB, mysql을 사랑합니다.

          Avatar of Ana Phi Sancho
          Ana Phi Sancho uses MariaDBMariaDB

          Introduced in computer science course.managing relational database management systems, database analytics, and for data processing

          Avatar of nrise
          nrise uses MariaDBMariaDB

          수 백만개가 넘는 태그 키워드의 자동완성을 위해서 별도의 데이터베이스를 구축하였습니다. MariaDB 는 MySQL 을 포크한 프로젝트입니다. MySQL 과의 강력한 호환성을 지니며, 큰 튜닝 없이 강력한 성능을 보장합니다.

          Avatar of Dolls Kill
          Dolls Kill uses MariaDBMariaDB

          MariaDB has allowed us to easily scale out our DB cluster. Also has better replication tools than MySQL

          How much does ClustrixDB cost?
          How much does MariaDB cost?
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