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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. CouchDB vs. Sphinx vs. WakandaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. CouchDB vs. Sphinx vs. WakandaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonSphinx  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Open source search engine for searching in data from different sources, e.g. relational databasesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeDocument storeSearch engineObject oriented DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.91
Rank#131  Overall
#24  Document stores
Score8.30
Rank#47  Overall
#7  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbcouchdb.apache.orgsphinxsearch.comwakanda.github.io
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourcesdocs.couchdb.org/­en/­stablesphinxsearch.com/­docswakanda.github.io/­doc
DeveloperAlibabaApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerSphinx Technologies Inc.Wakanda SAS
Initial release20162019200520012012
Current release3.3.3, December 20233.5.1, February 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++C++, JavaScript
Server operating systemshostedhostedAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnonoyes
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 viewsyes infofull-text index on all search fields
SQL infoSupport of SQLSQL-like query languagenonoSQL-like query language (SphinxQL)no
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)RESTful HTTP/JSON APIProprietary protocolRESTful HTTP API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Server-side scripts infoStored proceduresuser defined functions infoin JavanoView functions in JavaScriptnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infoimproved architecture with release 2.0Sharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsno infoatomic operations within a single document possiblenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess rights for users can be defined per databasenoyes

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"SphinxWakandaDB
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