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DBMS > Microsoft Azure Cosmos DB vs. Microsoft Azure SQL Database vs. Solr vs. Valentina Server

System Properties Comparison Microsoft Azure Cosmos DB vs. Microsoft Azure SQL Database vs. Solr vs. Valentina Server

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSolr  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceDatabase as a Service offering with high compatibility to Microsoft SQL ServerA widely used distributed, scalable search engine based on Apache LuceneObject-relational database and reports server
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score78.51
Rank#15  Overall
#10  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Score0.18
Rank#331  Overall
#145  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­products/­azure-sql/­databasesolr.apache.orgwww.valentina-db.net
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­azure-sqlsolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperMicrosoftMicrosoftApache Software FoundationParadigma Software
Initial release2014201020061999
Current releaseV129.5.0, February 20245.7.5
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java
Server operating systemshostedhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes 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.yesyes
Secondary indexesyes infoAll properties auto-indexed by defaultyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageyesSolr Parallel SQL Interfaceyes
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
ODBC
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresJavaScriptTransact SQLJava pluginsyes
TriggersJavaScriptyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, with always 3 replicas availableyes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure SQL Database infoformerly SQL AzureSolrValentina Server
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