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DBMS > FileMaker vs. Hypertable vs. Microsoft Azure SQL Database vs. Stardog

System Properties Comparison FileMaker vs. Hypertable vs. Microsoft Azure SQL Database vs. Stardog

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonStardog  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.An open source BigTable implementation based on distributed file systems such as HadoopDatabase as a Service offering with high compatibility to Microsoft SQL ServerEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSWide column storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.claris.com/­filemakerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.stardog.com
Technical documentationwww.claris.com/­resources/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.stardog.com
DeveloperClaris infoa subsidiary of AppleHypertable Inc.MicrosoftStardog-Union
Initial release1983200920102010
Current release19.4.1, November 20210.9.8.11, March 2016V127.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
hostedLinux
macOS
Windows
Data schemeyesschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesnoyesyes
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 infoImport/export of XML data possible
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLyes infovia pluginsnoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
C++ API
Thrift
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesPHPC++
Java
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnoTransact SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factor on file system levelyes, with always 3 replicas availableMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesnofine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
FileMakerHypertableMicrosoft Azure SQL Database infoformerly SQL AzureStardog
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