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DBMS > Datomic vs. Trafodion

System Properties Comparison Datomic vs. Trafodion

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.44
Rank#137  Overall
#66  Relational DBMS
Score0.70
Rank#270  Overall
#121  Relational DBMS
Websitewww.datomic.comtrafodion.apache.org
Technical documentationdocs.datomic.comtrafodion.apache.org
DeveloperCognitectApache Software Foundation, originally developed by HP
Initial release20122014
Current release1.0.6362, January 20222.3.0, February 2019
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++, Java
Server operating systemsAll OS with a Java VMLinux
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 indexesyesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Procedures
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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)yes
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 developmentno
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
DatomicTrafodion
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