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DBMS > Datomic vs. LeanXcale vs. Oracle Rdb vs. Trafodion

System Properties Comparison Datomic vs. LeanXcale vs. Oracle Rdb vs. Trafodion

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Websitewww.datomic.comwww.leanxcale.comwww.oracle.com/­database/­technologies/­related/­rdb.htmltrafodion.apache.org
Technical documentationdocs.datomic.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmltrafodion.apache.org/­documentation.html
DeveloperCognitectLeanXcaleOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation, originally developed by HP
Initial release2012201519842014
Current release1.0.7180, July 20247.4.1.1, 20212.3.0, February 2019
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoApache 2.0
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, ClojureC++, Java
Server operating systemsAll OS with a Java VMHP Open VMSLinux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infothrough Apache Derbyyesyes
APIs and other access methodsRESTful HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
Supported programming languagesClojure
Java
C
Java
Scala
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 methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes 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.yes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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DatomicLeanXcaleOracle RdbTrafodion
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