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CrateIO
CrateIO

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MariaDB

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CrateIO vs MariaDB: What are the differences?

Developers describe CrateIO as "The Distributed Database for Docker". Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets. On the other hand, MariaDB is detailed as "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.

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

Some of the features offered by CrateIO are:

  • Familiar SQL syntax
  • Semi-structured data
  • High availability, resiliency, and scalability in a distributed design

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

  • Replication
  • Insert Delayed
  • Events

"Simplicity" is the primary reason why developers consider CrateIO over the competitors, whereas "Drop-in mysql replacement" was stated as the key factor in picking MariaDB.

CrateIO and MariaDB are both open source tools. It seems that MariaDB with 2.79K GitHub stars and 856 forks on GitHub has more adoption than CrateIO with 2.47K GitHub stars and 329 GitHub forks.

What is CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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 CrateIO?
Why do developers choose MariaDB?

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      What companies use CrateIO?
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        What are some alternatives to CrateIO 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 CrateIO and MariaDB
        StackShare Editors
        StackShare Editors
        MySQL
        MySQL
        MariaDB
        MariaDB

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

        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 · 53.7K views
        atScrayos UG (haftungsbeschränkt)Scrayos UG (haftungsbeschränkt)
        MariaDB
        MariaDB
        PostgreSQL
        PostgreSQL
        GitLab
        GitLab
        Sentry
        Sentry

        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.

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        Interest over time
        Reviews of CrateIO 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 CrateIO 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

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