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

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

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonFoundationDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 databaseJavaScript DBMS with an API inspired by CouchDB
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
Document 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
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
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.claris.com/­filemakergithub.com/­apple/­foundationdbazure.microsoft.com/­services/­data-explorerorigodb.compouchdb.com
Technical documentationwww.claris.com/­resources/­documentationapple.github.io/­foundationdbdocs.microsoft.com/­en-us/­azure/­data-explorerorigodb.com/­docspouchdb.com/­guides
DeveloperClaris infoa subsidiary of AppleFoundationDBMicrosoftRobert Friberg et alApache Software Foundation
Initial release1983201320192009 infounder the name LiveDB2012
Current release19.4.1, November 20216.2.28, November 2020cloud service with continuous releases7.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaScript
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
hostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free infosome layers support schemasFixed schema with schema-less datatypes (dynamic)yesschema-free
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 collectionsno
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 .NETno
Secondary indexesyesnoall fields are automatically indexedyesyes infovia views
SQL infoSupport of SQLyes infovia pluginssupported in specific SQL layer onlyKusto Query Language (KQL), SQL subsetnono
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesPHP.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.NetJavaScript
Server-side scripts infoStored proceduresyesin SQL-layer onlyYes, possible languages: KQL, Python, RyesView functions in JavaScript
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 infowith a proxy-based framework, named couchdb-lounge
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 infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backend
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 authorizationno

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More resources
FileMakerFoundationDBMicrosoft Azure Data ExplorerOrigoDBPouchDB
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