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DBMS > Memcached vs. Spark SQL vs. STSdb vs. Valentina Server

System Properties Comparison Memcached vs. Spark SQL vs. STSdb vs. Valentina Server

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodObject-relational database and reports server
Primary database modelKey-value storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.42
Rank#32  Overall
#4  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.memcached.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4www.valentina-db.net
Technical documentationgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationSTS Soft SCParadigma Software
Initial release2003201420111999
Current release1.6.25, March 20243.5.0 ( 2.13), September 20234.0.8, September 20155.7.5
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC#
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
WindowsLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)yes
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
Secondary indexesnononoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsProprietary protocolJDBC
ODBC
.NET Client APIODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C#
Java
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolnonofine grained access rights according to SQL-standard

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More resources
MemcachedSpark SQLSTSdbValentina Server
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