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DBMS > MariaDB vs. Spark SQL

System Properties Comparison MariaDB vs. Spark SQL

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Our visitors often compare MariaDB and Spark SQL with Microsoft SQL Server, PostgreSQL and MongoDB.

Editorial information provided by DB-Engines
NameMariaDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score111.58
Rank#12  Overall
#8  Relational DBMS
Score23.12
Rank#35  Overall
#21  Relational DBMS
Websitemariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
spark.apache.org/­sql
Technical documentationmariadb.com/­kb/­en/­libraryspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Apache Software Foundation
Initial release2009 infoFork of MySQL, which was first released in 19952014
Current release10.8.3, May 20223.3.0, June 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SkySQL (The Ultimate MariaDB Cloud): The first and only DBaaS to bring the full power of MariaDB Platform to the cloud, combining powerful enterprise features and world-class support with unrivaled ease of use and groundbreaking innovation.
Implementation languageC and C++Scala
Server operating systemsFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
OS X
Windows
Data schemeyes infoDynamic columns are supportedyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesno
Secondary indexesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infoPL/SQL compatibility added with version 10.3no
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesseveral options for horizontal partitioning and Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infowith MEMORY storage engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
MariaDBSpark SQL
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB has many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more

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Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more
SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MariaDBSpark SQL
DB-Engines blog posts

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Recent citations in the news

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MariaDB and MindsDB Collaborate to Make Machine Learning Predictions Easily Accessible
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