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DBMS > Memcached vs. Microsoft Azure Cosmos DB vs. Microsoft SQL Server vs. ObjectBox

System Properties Comparison Memcached vs. Microsoft Azure Cosmos DB vs. Microsoft SQL Server vs. ObjectBox

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingGlobally distributed, horizontally scalable, multi-model database serviceMicrosofts flagship relational DBMSExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.08
Rank#32  Overall
#4  Key-value stores
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websitewww.memcached.orgazure.microsoft.com/­services/­cosmos-dbwww.microsoft.com/­en-us/­sql-serverobjectbox.io
Technical documentationgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­azure/­cosmos-dblearn.microsoft.com/­en-US/­sql/­sql-serverdocs.objectbox.io
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftMicrosoftObjectBox Limited
Initial release2003201419892017
Current release1.6.27, May 2024SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercial inforestricted free version is availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageCC++C and C++
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
Windows
Android
iOS
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infoJSON typesyesyes
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.yesno
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsProprietary protocolDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Proprietary native API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresnoJavaScriptTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
TriggersnoJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud servicetables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceyes, but depending on the SQL-Server Editiononline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
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 Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardyes
More information provided by the system vendor
MemcachedMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft SQL ServerObjectBox
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