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DBMS > Cloudant vs. Elasticsearch vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. WakandaDB

System Properties Comparison Cloudant vs. Elasticsearch vs. Microsoft Access vs. Microsoft Azure Cosmos DB vs. WakandaDB

Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonElasticsearch  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricMicrosoft 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 serviceWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeSearch engineRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.67
Rank#79  Overall
#13  Document stores
Score148.91
Rank#7  Overall
#1  Search engines
Score121.92
Rank#10  Overall
#7  Relational DBMS
Score32.05
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.10
Rank#282  Overall
#15  Object oriented DBMS
Websitecloudant.comwww.elastic.co/­products/­elasticsearchproducts.office.com/­en-us/­accessazure.microsoft.com/­services/­cosmos-dbwakanda.github.io
Technical documentationdocs.cloudant.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlmsdn.microsoft.com/­en-us/­library/­office/­ff604965.aspxdocs.microsoft.com/­en-us/­azure/­cosmos-dbdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.html
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014ElasticMicrosoftMicrosoftWakanda SAS
Initial release20102010199220142012
Current release7.3.0, August 20191902 (16.0.11328.20222), March 20192.1.0, July 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Elastic Licensecommercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on AWS and GCP that's powered by the creators of Elasticsearch.
Implementation languageErlangJavaC++C++, JavaScript
Server operating systemshostedAll OS with a Java VMWindows infoNot a real database server, but making use of DLLshostedLinux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes infoJSON typesyes
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardSQL-like query languageno
APIs and other access methodsRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
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
JavaScript
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptyesyes infosince Access 2010 using the ACE-engineJavaScriptyes
Triggersyesyes infoby using the 'percolation' featureyes infosince Access 2010 using the ACE-engineJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yesnoneyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesES-Hadoop Connectornowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possiblenoACID infobut no files for transaction loggingMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationno
User concepts infoAccess controlAccess rights for users can be defined per databaseno infoa simple user-level security was built in till version Access 2003Access rights can be defined down to the item levelyes
More information provided by the system vendor
CloudantElasticsearchMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBWakandaDB
Specific characteristicsElasticsearch is a highly scalable open source full-text search and analytics engine....
» more
Competitive advantagesOpen source, real-time index, search and analysis, horizontally scalable, distributed,...
» more
Typical application scenariosSearch, logging, security, metrics, maps and business analytics use cases.
» more
Key customers
» more
Market metricsMore than 400 million cumulative downloads More than 100,000 community members in...
» more
Licensing and pricing modelsThe Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more

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3rd partiesDremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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Elastic Cloud: Try the official hosted Elasticsearch.
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More resources
CloudantElasticsearchMicrosoft AccessMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBWakandaDB
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