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DBMS > Apache Druid vs. Atos Standard Common Repository vs. CouchDB vs. Tkrzw

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. CouchDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Document storeKey-value store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorycouchdb.apache.orgdbmx.net/­tkrzw
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchdb.org/­en/­stable
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMikio Hirabayashi
Initial release2012201620052020
Current release29.0.1, April 202417033.3.3, December 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangC++
Server operating systemsLinux
OS X
Unix
LinuxAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalnono
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 indexesyesyesyes infovia views
SQL infoSupport of SQLSQL for queryingnonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPRESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoView functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionSharding infoimproved architecture with release 2.0none
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsno infoatomic operations within a single document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes
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.noyesnoyes infousing specific database classes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationAccess rights for users can be defined per databaseno

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Apache DruidAtos Standard Common RepositoryCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Tkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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