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DBMS > Datomic vs. OpenMLDB

System Properties Comparison Datomic vs. OpenMLDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Websitewww.datomic.comopenmldb.ai
Technical documentationdocs.datomic.comopenmldb.ai/­docs/­zh/­main
DeveloperCognitect4 Paradigm Inc.
Initial release20122020
Current release1.0.6735, June 20232024-2 February 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, Java, Scala
Server operating systemsAll OS with a Java VMLinux
Data schemeyesFixed schema
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 APIJDBC
SQLAlchemy
Supported programming languagesClojure
Java
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsno
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 peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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)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 developmentyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
DatomicOpenMLDB
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