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DBMS > Datomic vs. Graph Engine vs. Ultipa

System Properties Comparison Datomic vs. Graph Engine vs. Ultipa

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSGraph DBMS
Key-value store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitewww.datomic.comwww.graphengine.iowww.ultipa.com
Technical documentationdocs.datomic.comwww.graphengine.io/­docs/­manualwww.ultipa.com/­document
DeveloperCognitectMicrosoftUltipa
Initial release201220102019
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure.NET and C
Server operating systemsAll OS with a Java VM.NET
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyes
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesClojure
Java
C#
C++
F#
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)optional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
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 developmentyes
User concepts infoAccess controlno

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More resources
DatomicGraph Engine infoformer name: TrinityUltipa
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