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DBMS > Memcached vs. Microsoft SQL Server vs. Titan vs. Trafodion

System Properties Comparison Memcached vs. Microsoft SQL Server vs. Titan vs. Trafodion

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonTitan  Xexclude from comparisonTrafodion  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory key-value store, originally intended for cachingMicrosofts flagship relational DBMSTitan is a Graph DBMS optimized for distributed clusters.Transactional SQL-on-Hadoop DBMS
Primary database modelKey-value storeRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.42
Rank#32  Overall
#4  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websitewww.memcached.orgwww.microsoft.com/­en-us/­sql-servergithub.com/­thinkaurelius/­titantrafodion.apache.org
Technical documentationgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-US/­sql/­sql-servergithub.com/­thinkaurelius/­titan/­wikitrafodion.apache.org/­documentation.html
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftAurelius, owned by DataStaxApache Software Foundation, originally developed by HP
Initial release2003198920122014
Current release1.6.25, March 2024SQL Server 2022, November 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoBSD licensecommercial inforestricted free version is availableOpen Source infoApache license, version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
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++JavaC++, Java
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesnoyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsProprietary protocolADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Clojure
Java
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavayesJava Stored Procedures
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyes, but depending on the SQL-Server Editionyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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) protocolfine grained access rights according to SQL-standardUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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MemcachedMicrosoft SQL ServerTitanTrafodion
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