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DBMS > Microsoft Azure Cosmos DB vs. NSDb vs. OrientDB vs. Solr

System Properties Comparison Microsoft Azure Cosmos DB vs. NSDb vs. OrientDB vs. Solr

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonNSDb  Xexclude from comparisonOrientDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesMulti-model DBMS (Document, Graph, Key/Value)A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Search engine
Secondary database modelsSpatial DBMSSpatial 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
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Score3.38
Rank#96  Overall
#17  Document stores
#6  Graph DBMS
#15  Key-value stores
Score43.91
Rank#24  Overall
#3  Search engines
Websiteazure.microsoft.com/­services/­cosmos-dbnsdb.ioorientdb.orgsolr.apache.org
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbnsdb.io/­Architecturewww.orientdb.com/­docs/­last/­index.htmlsolr.apache.org/­resources.html
DeveloperMicrosoftOrientDB LTD; CallidusCloud; SAPApache Software Foundation
Initial release2014201720102006
Current release3.2.29, March 20249.5.0, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ScalaJavaJava
Server operating systemshostedLinux
macOS
All OS with a Java JDK (>= JDK 6)All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoJSON typesyes: int, bigint, decimal, stringyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyes infoAll properties auto-indexed by defaultall fields are automatically indexedyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like query language, no joinsSolr Parallel SQL Interface
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
gRPC
HTTP REST
WebSocket
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Java API
RESTful HTTP/JSON API
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Java
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJavaScriptnoJava, JavascriptJava plugins
TriggersJavaScriptHooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono infocould be achieved with distributed queriesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
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
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users and roles; record level security configurableyes

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBNSDbOrientDBSolr
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