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DBMS > Fauna vs. FileMaker vs. Microsoft Azure Data Explorer vs. MySQL vs. SWC-DB

System Properties Comparison Fauna vs. FileMaker vs. Microsoft Azure Data Explorer vs. MySQL vs. SWC-DB

Editorial information provided by DB-Engines
NameFauna infopreviously named FaunaDB  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMySQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Fully managed big data interactive analytics platformWidely used open source RDBMSA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMS infocolumn orientedRelational DBMS infoKey/Value like access via memcached APIWide column store
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Spatial DBMS
Time Series 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
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitefauna.comwww.claris.com/­filemakerazure.microsoft.com/­services/­data-explorerwww.mysql.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.fauna.comwww.claris.com/­resources/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­doc
DeveloperFauna, Inc.Claris infoa subsidiary of AppleMicrosoftOracle infosince 2010, originally MySQL AB, then SunAlex Kashirin
Initial release20141983201919952020
Current release19.4.1, November 2021cloud service with continuous releases8.4.0, April 20240.5, April 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageScalaC and C++C++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
hostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesFixed schema with schema-less datatypes (dynamic)yesschema-free
Typing infopredefined data types such as float or datenoyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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.noyes infoA http query request can return the data in XML formatyesyesno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyes infovia pluginsKusto Query Language (KQL), SQL subsetyes infowith proprietary extensionsSQL-like query language
APIs and other access methodsRESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Proprietary protocol
Thrift
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
PHP.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Server-side scripts infoStored proceduresuser defined functionsyesYes, possible languages: KQL, Python, Ryes infoproprietary syntaxno
Triggersnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingnoneSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication, warm standby infosince Version 14yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlIdentity management, authentication, and access controlsimple rights management via user accounts and connection to external directory servicesAzure Active Directory AuthenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
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