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DBMS > Fauna vs. Google BigQuery vs. MariaDB vs. Microsoft SQL Server vs. Quasardb

System Properties Comparison Fauna vs. Google BigQuery vs. MariaDB vs. Microsoft SQL Server vs. Quasardb

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonMariaDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Large scale data warehouse service with append-only tablesMySQL 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.Microsofts flagship relational DBMSDistributed, high-performance timeseries database
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitefauna.comcloud.google.com/­bigquerymariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
www.microsoft.com/­en-us/­sql-serverquasar.ai
Technical documentationdocs.fauna.comcloud.google.com/­bigquery/­docsmariadb.com/­kb/­en/­librarylearn.microsoft.com/­en-US/­sql/­sql-serverdoc.quasar.ai/­master
DeveloperFauna, Inc.GoogleMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
Microsoftquasardb
Initial release201420102009 infoFork of MySQL, which was first released in 199519892009
Current release11.3.2, February 2024SQL Server 2022, November 20223.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2, commercial enterprise subscription availablecommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC and C++C++C++
Server operating systemshostedhostedFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeschema-freeyesyes infoDynamic columns are supportedyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes infointeger and binary
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.nonoyesyesno
Secondary indexesyesnoyesyesyes infowith tags
SQL infoSupport of SQLnoyesyes infowith proprietary extensionsyesSQL-like query language
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.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
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsuser defined functions infoin JavaScriptyes infoPL/SQL compatibility added with version 10.3Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnoneseveral options for horizontal partitioning and Shardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
yes, but depending on the SQL-Server EditionSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infowith MEMORY storage engineyesyes infoTransient mode
User concepts infoAccess controlIdentity management, authentication, and access controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
Fauna infopreviously named FaunaDBGoogle BigQueryMariaDBMicrosoft SQL ServerQuasardb
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» 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
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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More resources
Fauna infopreviously named FaunaDBGoogle BigQueryMariaDBMicrosoft SQL ServerQuasardb
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