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DBMS > FileMaker vs. IBM Db2 warehouse vs. IRONdb vs. Microsoft Azure AI Search vs. Splice Machine

System Properties Comparison FileMaker vs. IBM Db2 warehouse vs. IRONdb vs. Microsoft Azure AI Search vs. Splice Machine

Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSplice Machine  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.Cloud-based data warehousing serviceA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySearch-as-a-service for web and mobile app developmentOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.37
Rank#160  Overall
#74  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.claris.com/­filemakerwww.ibm.com/­products/­db2/­warehousewww.circonus.com/solutions/time-series-database/azure.microsoft.com/­en-us/­services/­searchsplicemachine.com
Technical documentationwww.claris.com/­resources/­documentationdocs.circonus.com/irondb/category/getting-startedlearn.microsoft.com/­en-us/­azure/­searchsplicemachine.com/­how-it-works
DeveloperClaris infoa subsidiary of AppleIBMCirconus LLC.MicrosoftSplice Machine
Initial release19832014201720152014
Current release19.4.1, November 2021V0.10.20, January 2018V13.1, March 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
hostedLinuxhostedLinux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes 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 formatno infoImport/export of XML data possiblenono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infovia pluginsyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyes
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
.NET Client API
JDBC
ODBC
OLE DB
HTTP APIRESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesPHPJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
JavaScript
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesPL/SQL, SQL PLyes, in Luanoyes infoJava
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic, metric affinity per nodeSharding infoImplicit feature of the cloud serviceShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yesconfigurable replication factor, datacenter awareyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.yesnonoyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardnoyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
FileMakerIBM Db2 warehouse infoformerly named IBM dashDBIRONdbMicrosoft Azure AI SearchSplice Machine
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