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DBMS > Amazon Aurora vs. IBM Db2 vs. Kinetica vs. Memcached

System Properties Comparison Amazon Aurora vs. IBM Db2 vs. Kinetica vs. Memcached

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonKinetica  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonCommon in IBM host environments, 2 different versions for host and Windows/LinuxFully vectorized database across both GPUs and CPUsIn-memory key-value store, originally intended for caching
Primary database modelRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSKey-value store
Secondary database modelsDocument storeDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score123.05
Rank#9  Overall
#6  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score16.84
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­rds/­aurorawww.ibm.com/­products/­db2www.kinetica.comwww.memcached.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.ibm.com/­docs/­en/­db2docs.kinetica.comgithub.com/­memcached/­memcached/­wiki
DeveloperAmazonIBMKineticaDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20151983 infohost version20122003
Current release12.1, October 20167.1, August 20211.6.29, June 2024
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C, C++C
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
z/OS
LinuxFreeBSD
Linux
OS X
Unix
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesuser defined functionsno
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoonly with Windows/Unix/Linux VersionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infowith separate tools (MQ, InfoSphere)Source-replica replicationnone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes infousing SASL (Simple Authentication and Security Layer) protocol

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More resources
Amazon AuroraIBM Db2 infoformerly named DB2 or IBM Database 2KineticaMemcached
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Recent citations in the news

Replace Amazon QLDB with Amazon Aurora PostgreSQL for audit use cases
18 July 2024, AWS Blog

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17 September 2024, AWS Blog

Build generative AI applications with Amazon Aurora and Amazon Bedrock Knowledge Bases
2 February 2024, AWS Blog

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6 August 2024, AWS Blog

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14 May 2024, AWS Blog

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9 April 2024, IBM

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31 May 2024, Oracle

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3 April 2024, precisely.com

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26 March 2024, Datanami

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
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Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks & Files

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Why Redis beats Memcached for caching
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