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DBMS > Cloudant vs. Google BigQuery vs. MariaDB

System Properties Comparison Cloudant vs. Google BigQuery vs. MariaDB

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMariaDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBLarge scale data warehouse service with append-only tablesMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. With MariaDB ColumnStore a column-oriented storage engine is available too.
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.68
Rank#82  Overall
#15  Document stores
Score28.29
Rank#26  Overall
#15  Relational DBMS
Score89.79
Rank#12  Overall
#8  Relational DBMS
Websitecloudant.comcloud.google.com/­bigquerymariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationdocs.cloudant.comcloud.google.com/­bigquery/­docsmariadb.com/­kb/­en/­library
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014GoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release201020102009
Current release10.4.12, January 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for MariaDB: A fully managed, scalable MariaDB relational database with high availability and security built in at no extra cost
  • 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 languageErlangC and C++
Server operating systemshostedhostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeschema-freeyesyes infoDynamic columns are supported
Typing infopredefined data types such as float or datenoyesyes
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.nonoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptuser defined functions infoin JavaScriptyes infoPL/SQL compatibility added with version 10.3
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneHorizontal partitioning, sharding with Spider storage engine or Galera cluster infoPartitioning by range, list, hash, key
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replication infousing MariaDB Galera Cluster
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleno infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engine
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infowith MEMORY storage engine
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standard
More information provided by the system vendor
CloudantGoogle BigQueryMariaDB
Specific characteristicsOpen source database from the creators of MySQL, enhanced with enterprise tools and...
» more
Competitive advantagesHigh availability, scalability, performance beyond MySQL and other databases.
» more
Typical application scenariosWeb, SaaS and Cloud operational/transactional applications that require high availability,...
» more
Key customersBooking.com, Wikipedia, Google, Canal+, ClubMed, Deutsche Telekom, La Poste, Virgin...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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Azure Database for MariaDB: Easily deploy applications to the cloud.
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Navicat for MariaDB provides a native environment for MariaDB database management and development.
» more

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More resources
CloudantGoogle BigQueryMariaDB
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