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DBMS > CouchDB vs. HBase vs. Kinetica vs. LeanXcale

System Properties Comparison CouchDB vs. HBase vs. Kinetica vs. LeanXcale

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHBase  Xexclude from comparisonKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Wide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelDocument storeWide column storeRelational DBMSKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Websitecouchdb.apache.orghbase.apache.orgwww.kinetica.comwww.leanxcale.com
Technical documentationdocs.couchdb.org/­en/­stablehbase.apache.org/­book.htmldocs.kinetica.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaLeanXcale
Initial release2005200820122015
Current release3.3.3, December 20232.3.4, January 20217.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJavaC, C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenooptions to bring your own types, AVROyes
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 indexesyes infovia viewsnoyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyes infothrough Apache Derby
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP API
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
Java
Scala
Server-side scripts infoStored proceduresView functions in JavaScriptyes infoCoprocessors in Javauser defined functions
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table level

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HBaseKineticaLeanXcale
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