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DBMS > Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. SAP Advantage Database Server vs. Solr

System Properties Comparison Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. SAP Advantage Database Server vs. Solr

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparisonSolr  Xexclude from comparison
SAP Advantage Database Server seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsLow-cost RDBMS with access to ISAM and FoxPro data structuresA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeRelational DBMSSearch 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
Score5.35
Rank#71  Overall
#6  Wide column stores
Score43.91
Rank#24  Overall
#3  Search engines
Websiteazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.sap.com/products/advantage-database-server.htmlsolr.apache.org
Technical documentationlearn.microsoft.com/­azure/­cosmos-dbsolr.apache.org/­resources.html
DeveloperMicrosoftMicrosoftSybase, SAPApache Software Foundation
Initial release2014201219932006
Current release9.5.0, February 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedhostedLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoJSON typesyesyesyes 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 defaultnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoyesSolr Parallel SQL Interface
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
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
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Delphi
Perl
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJavaScriptnoyesJava plugins
TriggersJavaScriptnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonospark-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
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono infocaching of (temporary) tables can be configuredyes
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standardyes

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageSAP Advantage Database Server infoformer name: Sybase ADSSolr
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