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DBMS > Alibaba Cloud MaxCompute vs. CouchDB vs. Drizzle vs. H2 vs. KairosDB

System Properties Comparison Alibaba Cloud MaxCompute vs. CouchDB vs. Drizzle vs. H2 vs. KairosDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonKairosDB  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.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA 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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecouchdb.apache.orgwww.h2database.comgithub.com/­kairosdb/­kairosdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.couchdb.org/­en/­stablewww.h2database.com/­html/­main.htmlkairosdb.github.io
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDrizzle project, originally started by Brian AkerThomas Mueller
Initial release20162005200820052013
Current release3.3.3, December 20237.2.4, September 20122.2.220, July 20231.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++JavaJava
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
All OS with a Java VMLinux
OS X
Windows
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesnoyes infovia viewsyesyesno
SQL infoSupport of SQLSQL-like query languagenoyes infowith proprietary extensionsyesno
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP/JSON APIJDBCJDBC
ODBC
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesJavaC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Java
PHP
JavaJava
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin JavaView functions in JavaScriptnoJava Stored Procedures and User-Defined Functionsno
Triggersnoyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoimproved architecture with release 2.0ShardingnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per databasePluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardsimple password-based access control

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More resources
Alibaba Cloud MaxComputeCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DrizzleH2KairosDB
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