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DBMS > Google BigQuery vs. Linter vs. MariaDB

System Properties Comparison Google BigQuery vs. Linter vs. MariaDB

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Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonLinter  Xexclude from comparisonMariaDB  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesRDBMS for high security requirementsMySQL 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.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score35.58
Rank#24  Overall
#15  Relational DBMS
Score0.08
Rank#312  Overall
#137  Relational DBMS
Score96.37
Rank#12  Overall
#8  Relational DBMS
Websitecloud.google.com/­bigquerylinter.ru/­enmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
Technical documentationcloud.google.com/­bigquery/­docsmariadb.com/­kb/­en/­library
DeveloperGooglerelex.ru/­enMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Initial release201019902009
Current release10.5.9 , February 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial enterprise subscription available
Cloud-based only infoOnly available as a cloud serviceyesnono
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++C and C++
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Data schemeyesyesyes infoDynamic columns are supported
Typing infopredefined data types such as float or dateyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
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 proceduresuser defined functions infoin JavaScriptyes infoproprietary syntax with the possibility to convert from PL/SQLyes infoPL/SQL compatibility added with version 10.3
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneseveral options for horizontal partitioning and Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes infowith MEMORY storage engine
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Google BigQueryLinterMariaDB
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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Google BigQueryLinterMariaDB
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