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DBMS > Datomic vs. Newts vs. Yanza

System Properties Comparison Datomic vs. Newts vs. Yanza

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNewts  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 durabilityTime Series DBMS based on CassandraTime Series DBMS for IoT Applications
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.datomic.comopennms.github.io/­newtsyanza.com
Technical documentationdocs.datomic.comgithub.com/­OpenNMS/­newts/­wiki
DeveloperCognitectOpenNMS GroupYanza
Initial release201220142015
Current release1.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono 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, ClojureJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesnono
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIHTTP REST
Java API
HTTP API
Supported programming languagesClojure
Java
Javaany language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoTransaction Functionsnono
TriggersBy using transaction functionsnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 controlnonono

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More resources
DatomicNewtsYanza
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