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DBMS > FileMaker vs. InfluxDB vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. RDF4J

System Properties Comparison FileMaker vs. InfluxDB vs. IRONdb vs. Microsoft Azure Synapse Analytics vs. RDF4J

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonInfluxDB  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.DBMS for storing time series, events and metricsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMSRDF store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.claris.com/­filemakerwww.influxdata.com/­products/­influxdb-overviewwww.circonus.com/solutions/time-series-database/azure.microsoft.com/­services/­synapse-analyticsrdf4j.org
Technical documentationwww.claris.com/­resources/­documentationdocs.influxdata.com/­influxdbdocs.circonus.com/irondb/category/getting-starteddocs.microsoft.com/­azure/­synapse-analyticsrdf4j.org/­documentation
DeveloperClaris infoa subsidiary of AppleCirconus LLC.MicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release19832013201720162004
Current release19.4.1, November 20212.7.5, January 2024V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C++Java
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X infothrough Homebrew
LinuxhostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes infotext, numeric, histogramsyesyes
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 formatnonono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyes infovia pluginsSQL-like query languageSQL-like query language (Circonus Analytics Query Language: CAQL)yesno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HTTP API
JSON over UDP
HTTP APIADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesPHP.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
PHP
Java
PHP
Python
Server-side scripts infoStored proceduresyesnoyes, in LuaTransact SQLyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyAutomatic, metric affinity per nodeSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factor infoin enterprise version onlyconfigurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineno
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicessimple rights management via user accountsnoyesno
More information provided by the system vendor
FileMakerInfluxDBIRONdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDF4J infoformerly known as Sesame
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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