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DBMS > Datomic vs. Kinetica vs. Newts vs. PouchDB vs. STSdb

System Properties Comparison Datomic vs. Kinetica vs. Newts vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonKinetica  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFully vectorized database across both GPUs and CPUsTime Series DBMS based on CassandraJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSTime Series DBMSDocument storeKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitewww.datomic.comwww.kinetica.comopennms.github.io/­newtspouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.datomic.comdocs.kinetica.comgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperCognitectKineticaOpenNMS GroupApache Software FoundationSTS Soft SC
Initial release20122012201420122011
Current release1.0.7180, July 20247.1, August 20217.1.1, June 20194.0.8, September 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache 2.0Open SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC, C++JavaJavaScriptC#
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoprimitive types and user defined types (classes)
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 indexesyesyesnoyes infovia viewsno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
Python
JavaJavaScriptC#
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsnoView functions in JavaScriptno
TriggersBy using transaction functionsyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factor infobased on CassandraMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
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 infoby using IndexedDB, WebSQL or LevelDB as backendyes
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 RAMnoyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelnonono

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DatomicKineticaNewtsPouchDBSTSdb
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