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DBMS > Microsoft Azure Cosmos DB vs. OrigoDB vs. Solr

System Properties Comparison Microsoft Azure Cosmos DB vs. OrigoDB vs. Solr

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Object oriented DBMS
Search engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score39.71
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#360  Overall
#53  Document stores
#20  Object oriented DBMS
Score57.72
Rank#20  Overall
#3  Search engines
Websiteazure.microsoft.com/­services/­cosmos-dborigodb.comlucene.apache.org/­solr
Technical documentationdocs.microsoft.com/­azure/­cosmos-dborigodb.com/­docslucene.apache.org/­solr/­resources.html
DeveloperMicrosoftRobert Friberg et alApache Software Foundation
Initial release20142009 infounder the name LiveDB2006
Current release8.11.0, November 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#Java
Server operating systemshostedLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoJSON typesUser defined using .NET types and collectionsyes 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.no infocan be achieved using .NETyes
Secondary indexesyes infoAll properties auto-indexed by defaultyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
.NET Client API
HTTP API
LINQ
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
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJavaScriptyesJava plugins
TriggersJavaScriptyes infoDomain Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replicationyes
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 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 Consistency
Foreign keys infoReferential integritynodepending on modelno
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 persistentyesyes infoWrite ahead logyes
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 levelRole based authorizationyes

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBOrigoDBSolr
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Recent citations in the news

ChaosDB: Researchers share technical details of Azure flaw – Urgent Comms
11 November 2021, Urgent Communications

Azure Cosmos DB alert: This critical vulnerability puts users at risk
27 August 2021, ZDNet

Stormy times for cloud compliance?
4 November 2021, ZDNet

Microsoft Azure Cosmos DB Incident Underscores the Need to Closely Watch Cloud Data
30 August 2021, Dark Reading

Azure Cosmos DB Conf - Microsoft
21 April 2021, Channel 9

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