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DBMS > FileMaker vs. FoundationDB vs. Microsoft Azure Data Explorer vs. OrigoDB vs. PlanetScale

System Properties Comparison FileMaker vs. FoundationDB vs. Microsoft Azure Data Explorer vs. OrigoDB vs. PlanetScale

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrigoDB  Xexclude from comparisonPlanetScale  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.Ordered key-value store. Core features are complimented by layers.Fully managed big data interactive analytics platformA fully ACID in-memory object graph databaseScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS infocolumn orientedDocument store
Object oriented DBMS
Relational DBMS
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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitewww.claris.com/­filemakergithub.com/­apple/­foundationdbazure.microsoft.com/­services/­data-explorerorigodb.complanetscale.com
Technical documentationwww.claris.com/­resources/­documentationapple.github.io/­foundationdbdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docsplanetscale.com/­docs
DeveloperClaris infoa subsidiary of AppleFoundationDBMicrosoftRobert Friberg et alPlanetScale
Initial release1983201320192009 infounder the name LiveDB2020
Current release19.4.1, November 20216.2.28, November 2020cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#Go
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
hostedLinux
Windows
Docker
Linux
macOS
Data schemeyesschema-free infosome layers support schemasFixed schema with schema-less datatypes (dynamic)yesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesUser defined using .NET types and collectionsyes
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.yes infoA http query request can return the data in XML formatyesno infocan be achieved using .NET
Secondary indexesyesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLyes infovia pluginssupported in specific SQL layer onlyKusto Query Language (KQL), SQL subsetnoyes infowith proprietary extensions
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesPHP.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesin SQL-layer onlyYes, possible languages: KQL, Python, Ryesyes infoproprietary syntax
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationMulti-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 systemLinearizable consistencyEventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesin SQL-layer onlynodepending on modelyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesnoAzure Active Directory AuthenticationRole based authorizationUsers with fine-grained authorization concept infono user groups or roles

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More resources
FileMakerFoundationDBMicrosoft Azure Data ExplorerOrigoDBPlanetScale
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