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DBMS > Datomic vs. OushuDB

System Properties Comparison Datomic vs. OushuDB

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Our visitors often compare Datomic and OushuDB with Trino, TimescaleDB and Apache Druid.

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonOushuDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#131  Overall
#63  Relational DBMS
Score0.06
Rank#362  Overall
#152  Relational DBMS
Websitewww.datomic.comwww.oushu.com/­product/­oushuDB
Technical documentationdocs.datomic.comwww.oushu.com/­documentation
DeveloperCognitectOushu
Initial release2012
Current release1.0.6735, June 20234.0.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial
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, Clojure
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.no
Secondary indexesyesyes
SQL infoSupport of SQLnoFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Supported programming languagesClojure
Java
C
C++
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes
TriggersBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes
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 methodsnoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
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 development
User concepts infoAccess controlnoKerberos, SSL and role based access

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DatomicOushuDB
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