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

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

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMarkLogic  Xexclude from comparisonNewts  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsOperational and transactional Enterprise NoSQL databaseTime 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 DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time 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
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitewww.kinetica.comwww.progress.com/­marklogicopennms.github.io/­newtspouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.kinetica.comwww.progress.com/­marklogic/­documentationgithub.com/­OpenNMS/­newts/­wikipouchdb.com/­guides
DeveloperKineticaMarkLogic Corp.OpenNMS GroupApache Software FoundationSTS Soft SC
Initial release20122001201420122011
Current release7.1, August 202111.0, December 20227.1.1, June 20194.0.8, September 2015
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen 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 languageC, C++C++JavaJavaScriptC#
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyesschema-free infoSchema can be enforcedschema-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.noyesnono
Secondary indexesyesyesnoyes infovia viewsno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoSQL92nonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP REST
Java API
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaJavaScriptC#
Java
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptnoView functions in JavaScriptno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandraSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable 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 methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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 infoGPU vRAM or System RAMyes, with Range Indexesnoyes
User concepts infoAccess controlAccess rights for users and roles on table levelRole-based access control at the document and subdocument levelsnonono

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KineticaMarkLogicNewtsPouchDBSTSdb
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