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DBMS > Memcached vs. Oracle Berkeley DB vs. Spark SQL vs. SWC-DB vs. Transbase

System Properties Comparison Memcached vs. Oracle Berkeley DB vs. Spark SQL vs. SWC-DB vs. Transbase

Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingWidely used in-process key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processingA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMSWide column storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.74
Rank#32  Overall
#4  Key-value stores
Score2.52
Rank#114  Overall
#20  Key-value stores
#3  Native XML DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Score0.15
Rank#337  Overall
#147  Relational DBMS
Websitewww.memcached.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlspark.apache.org/­sqlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.html
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalOracle infooriginally developed by Sleepycat, which was acquired by OracleApache Software FoundationAlex KashirinTransaction Software GmbH
Initial release20031994201420201987
Current release1.6.25, March 202418.1.40, May 20203.5.0 ( 2.13), September 20230.5, April 2021Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infocommercial license availableOpen Source infoApache 2.0Open Source infoGPL V3commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, Java, C++ (depending on the Berkeley DB edition)ScalaC++C and C++
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenonoyesyes
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.yes infoonly with the Berkeley DB XML editionnonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsProprietary protocolJDBC
ODBC
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Java
Python
R
Scala
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnonononoyes
Triggersnoyes infoonly for the SQL APInonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallitySource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 datanoACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
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
MemcachedOracle Berkeley DBSpark SQLSWC-DB infoSuper Wide Column DatabaseTransbase
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