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DBMS > CouchDB vs. eXtremeDB vs. Impala vs. KairosDB vs. MySQL

System Properties Comparison CouchDB vs. eXtremeDB vs. Impala vs. KairosDB vs. MySQL

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisoneXtremeDB  Xexclude from comparisonImpala  Xexclude from comparisonKairosDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Natively in-memory DBMS with options for persistency, high-availability and clusteringAnalytic DBMS for HadoopDistributed Time Series DBMS based on Cassandra or H2Widely used open source RDBMS
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.47
Rank#40  Overall
#6  Document stores
Score0.71
Rank#208  Overall
#102  Relational DBMS
#14  Time Series DBMS
Score18.65
Rank#37  Overall
#23  Relational DBMS
Score0.79
Rank#197  Overall
#13  Time Series DBMS
Score1212.52
Rank#2  Overall
#2  Relational DBMS
Websitecouchdb.apache.orgwww.mcobject.com/­extremedbfamilywww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlgithub.com/­kairosdb/­kairosdbwww.mysql.com
Technical documentationdocs.couchdb.org/­en/­stablewww.mcobject.com/­docs/­extremedb.htmdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlkairosdb.github.iodev.mysql.com/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMcObjectClouderaOracle infosince 2010, originally MySQL AB, then Sun
Initial release20052001201320131995
Current release3.1.1, September 20208.2, November 20203.4.0, April 20201.2.2, November 20188.0.26, July 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++C++JavaC and C++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nono infosupport of XML interfaces availablenonoyes
Secondary indexesyes infovia viewsyesyesnoyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
Java
Lua
Python
Scala
All languages supporting JDBC/ODBCJava
JavaScript infoNode.js
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptyesyes infouser defined functions and integration of map-reducenoyes infoproprietary syntax
Triggersyesyes infoby defining eventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0horizontal partitioning / shardingShardingSharding infobased on Cassandrahorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factorselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnonoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles infobased on Apache Sentry and Kerberossimple password-based access controlUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"eXtremeDBImpalaKairosDBMySQL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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