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DBMS > Datomic vs. InterSystems Caché vs. Ultipa vs. Yaacomo

System Properties Comparison Datomic vs. InterSystems Caché vs. Ultipa vs. Yaacomo

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonUltipa  Xexclude from comparisonYaacomo  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA multi-model DBMS and application serverHigh performance Graph DBMS supporting HTAP high availability cluster deploymentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Graph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitewww.datomic.comwww.intersystems.com/­products/­cachewww.ultipa.comyaacomo.com
Technical documentationdocs.datomic.comdocs.intersystems.comwww.ultipa.com/­document
DeveloperCognitectInterSystemsUltipaQ2WEB GmbH
Initial release2012199720192009
Current release1.0.7075, December 20232018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesClojure
Java
C#
C++
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes
TriggersBy using transaction functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesfine grained access rights according to SQL-standard

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DatomicInterSystems CachéUltipaYaacomo
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