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DBMS > Datomic vs. Hive vs. Kinetica vs. RDF4J vs. Riak TS

System Properties Comparison Datomic vs. Hive vs. Kinetica vs. RDF4J vs. Riak TS

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHive  Xexclude from comparisonKinetica  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopFully vectorized database across both GPUs and CPUsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSRelational DBMSRelational DBMSRDF storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.datomic.comhive.apache.orgwww.kinetica.comrdf4j.org
Technical documentationdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.kinetica.comrdf4j.org/­documentationwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperCognitectApache Software Foundation infoinitially developed by FacebookKineticaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Open Source, formerly Basho Technologies
Initial release20122012201220042015
Current release1.0.7075, December 20233.1.3, April 20227.1, August 20213.0.0, September 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2commercialOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC, C++JavaErlang
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxLinux
OS X
Unix
Windows
Linux
OS X
Data schemeyesyesyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyesyesrestricted
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statementsnoyes, limited
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP API
Native Erlang Interface
Supported programming languagesClojure
Java
C++
Java
PHP
Python
C++
Java
JavaScript (Node.js)
Python
Java
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infouser defined functions and integration of map-reduceuser defined functionsyesErlang
TriggersBy using transaction functionsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factorSource-replica replicationnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoin-memory storage is supported as wellyes
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 infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users, groups and rolesAccess rights for users and roles on table levelnono

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More resources
DatomicHiveKineticaRDF4J infoformerly known as SesameRiak TS
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