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DBMS > IBM Cloudant vs. Lovefield vs. Microsoft Azure Table Storage vs. Solr vs. YTsaurus

System Properties Comparison IBM Cloudant vs. Lovefield vs. Microsoft Azure Table Storage vs. Solr vs. YTsaurus

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSolr  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsA widely used distributed, scalable search engine based on Apache LuceneYTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument storeRelational DBMSWide column storeSearch engineDocument store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.75
Rank#104  Overall
#19  Document stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websitewww.ibm.com/­products/­cloudantgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablessolr.apache.orgytsaurus.tech
Technical documentationcloud.ibm.com/­docs/­Cloudantgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsolr.apache.org/­resources.htmlytsaurus.tech/­docs/­en
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014GoogleMicrosoftApache Software FoundationYandex
Initial release20102014201220062023
Current release2.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache Version 2Open Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJavaScriptJavaC++
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Ubuntu
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or datenoyesyesyes infosupports customizable data types and automatic typingyes
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.nononoyesno
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnoSolr Parallel SQL InterfaceYQL, an SQL-based language, is supported
APIs and other access methodsRESTful HTTP/JSON APIRESTful HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptnonoJava plugins
TriggersyesUsing read-only observersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDoptimistic lockingoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDBnoyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoAccess rights based on private key authentication or shared access signaturesyesAccess Control Lists

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More resources
IBM CloudantLovefieldMicrosoft Azure Table StorageSolrYTsaurus
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