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DBMS > Apache Spark (SQL) vs. Memcached

System Properties Comparison Apache Spark (SQL) vs. Memcached

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Our visitors often compare Apache Spark (SQL) and Memcached with PostgreSQL, Microsoft SQL Server and MySQL.

Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingIn-memory key-value store, originally intended for caching
Primary database modelRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.45
Rank#31  Overall
#19  Relational DBMS
Score16.69
Rank#34  Overall
#4  Key-value stores
Websitespark.apache.org/­sqlwww.memcached.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperApache Software FoundationDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20142003
Current release3.5.0 ( 2.13), September 20231.6.29, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesnono
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Supported programming languagesJava
Python
R
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Apache Spark (SQL)Memcached
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