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DBMS > Memcached vs. Spark SQL vs. Tkrzw vs. Yaacomo

System Properties Comparison Memcached vs. Spark SQL vs. Tkrzw vs. Yaacomo

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processingA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
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
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.memcached.orgspark.apache.org/­sqldbmx.net/­tkrzwyaacomo.com
Technical documentationgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationMikio HirabayashiQ2WEB GmbH
Initial release2003201420202009
Current release1.6.25, March 20243.5.0 ( 2.13), September 20230.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
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
Linux
macOS
Android
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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.nonono
Secondary indexesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsProprietary protocolJDBC
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitynonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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.noyes infousing specific database classesyes
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 SQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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