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DBMS > Cloudant vs. Google Search Appliance vs. Microsoft Access vs. Microsoft Azure Cosmos DB

System Properties Comparison Cloudant vs. Google Search Appliance vs. Microsoft Access vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Globally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.45
Rank#82  Overall
#15  Document stores
Score2.81
Rank#91  Overall
#10  Search engines
Score128.58
Rank#9  Overall
#6  Relational DBMS
Score31.51
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitecloudant.comenterprise.google.com/­search/­products/­gsa.htmlproducts.office.com/­en-us/­accessazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.cloudant.comsupport.google.com/­gsamsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014GoogleMicrosoftMicrosoft
Initial release2010200219922014
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLshosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesyes infoJSON types
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
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsRESTful HTTP/JSON APIAdministrative API
Browser interface
HTTP API
ADO.NET
DAO
ODBC
OLE DB
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyes infosince Access 2010 using the ACE-engineJavaScript
Triggersyesyes infosince Access 2010 using the ACE-engineJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationnoneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACID infobut no files for transaction loggingMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per databaseUser authentication via various security protocolsno infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item level

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More resources
CloudantGoogle Search ApplianceMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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