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DBMS > Datomic vs. SWC-DB vs. Transwarp Hippo vs. Yanza

System Properties Comparison Datomic vs. SWC-DB vs. Transwarp Hippo vs. Yanza

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. 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 high performance, scalable Wide Column DBMSCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSWide column storeVector DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.05
Rank#386  Overall
#16  Vector DBMS
Websitewww.datomic.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transwarp.cn/­en/­subproduct/­hippoyanza.com
Technical documentationdocs.datomic.com
DeveloperCognitectAlex KashirinYanza
Initial release2012202020232015
Current release1.0.7075, December 20230.5, April 20211.0, May 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL V3commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesVector, Numeric and Stringno
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.nononono
Secondary indexesyesnono
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIProprietary protocol
Thrift
RESTful HTTP APIHTTP API
Supported programming languagesClojure
Java
C++C++
Java
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonono
TriggersBy using transaction functionsnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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 developmentnoyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsno

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More resources
DatomicSWC-DB infoSuper Wide Column DatabaseTranswarp HippoYanza
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