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DBMS > DataFS vs. Datomic vs. IBM Cloudant vs. IRONdb vs. SAP SQL Anywhere

System Properties Comparison DataFS vs. Datomic vs. IBM Cloudant vs. IRONdb vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonIRONdb  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDatabase as a Service offering based on Apache CouchDBA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelObject oriented DBMSRelational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score3.95
Rank#80  Overall
#42  Relational DBMS
Websitenewdatabase.comwww.datomic.comwww.ibm.com/­products/­cloudantwww.circonus.com/solutions/time-series-database/www.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.comcloud.ibm.com/­docs/­Cloudantdocs.circonus.com/irondb/category/getting-startedhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperMobiland AGCognitectIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Circonus LLC.SAP infoformerly Sybase
Initial release20182012201020171992
Current release1.1.263, October 20221.0.7075, December 2023V0.10.20, January 201817, July 2015
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureErlangC and C++
Server operating systemsWindowsAll OS with a Java VMhostedLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes infotext, numeric, histogramsyes
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.nonononoyes
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIRESTful HTTP/JSON APIHTTP APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction FunctionsView functions (Map-Reduce) in JavaScriptyes, in Luayes, in C/C++, Java, .Net or Perl
Triggersno, except callback-events from server when changes happenedBy using transaction functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlWindows-ProfilenoAccess rights for users can be defined per databasenofine grained access rights according to SQL-standard

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More resources
DataFSDatomicIBM CloudantIRONdbSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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