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DBMS > Alibaba Cloud Table Store vs. Apache Doris vs. CouchDB vs. Drizzle vs. EsgynDB

System Properties Comparison Alibaba Cloud Table Store vs. Apache Doris vs. CouchDB vs. Drizzle vs. EsgynDB

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache Doris  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn MPP-based analytics DBMS embracing the MySQL protocolA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion
Primary database modelWide column storeRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storedoris.apache.org
github.com/­apache/­doris
couchdb.apache.orgwww.esgyn.cn
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoregithub.com/­apache/­doris/­wikidocs.couchdb.org/­en/­stable
DeveloperAlibabaApache Software Foundation, originally contributed from BaiduApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDrizzle project, originally started by Brian AkerEsgyn
Initial release20162017200520082015
Current release1.2.2, February 20233.3.3, December 20237.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++C++, Java
Server operating systemshostedLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesnoyesyes infovia viewsyesyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensionsyes
APIs and other access methodsHTTP APIJDBC
MySQL client
RESTful HTTP/JSON APIJDBCADO.NET
JDBC
ODBC
Supported programming languagesJava
Python
JavaC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptnoJava Stored Procedures
Triggersnonoyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding infoimproved architecture with release 2.0ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Multi-source replication between multi datacenters
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
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.nononono
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardAccess rights for users can be defined per databasePluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud Table StoreApache DorisCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DrizzleEsgynDB
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