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DBMS > IBM Db2 vs. Memcached vs. Spark SQL

System Properties Comparison IBM Db2 vs. Memcached vs. Spark SQL

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Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxIn-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value storeRelational DBMS
Secondary database modelsDocument store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score168.70
Rank#6  Overall
#5  Relational DBMS
Score25.11
Rank#28  Overall
#4  Key-value stores
Score17.13
Rank#35  Overall
#21  Relational DBMS
Websitewww.ibm.com/­analytics/­db2www.memcached.orgspark.apache.org/­sql
Technical documentationwww.ibm.com/­support/­knowledgecenter/­SSEPGGgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperIBMDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software Foundation
Initial release1983 infohost version20032014
Current release12.1, October 20161.5.12, November 2018v2.4.4, September 2019
License infoCommercial or Open Sourcecommercial infofree version is availableOpen Source infoBSD licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CScala
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnono
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Proprietary protocolJDBC
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux Versionnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)none infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
IBM Db2 infoformerly named DB2 or IBM Database 2MemcachedSpark SQL
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