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DBMS > Adabas vs. Memcached vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Tkrzw

System Properties Comparison Adabas vs. Memcached vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics vs. Tkrzw

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformIn-memory key-value store, originally intended for cachingSearch-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelMultivalue DBMSKey-value storeSearch engineRelational DBMSKey-value store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.memcached.orgazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analyticsdbmx.net/­tkrzw
Technical documentationgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftMicrosoftMikio Hirabayashi
Initial release19712003201520162020
Current release1.6.25, March 2024V10.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
FreeBSD
Linux
OS X
Unix
Windows
hostedhostedLinux
macOS
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynonoyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Proprietary protocolRESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesNatural.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
C#
Java
PHP
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresin NaturalnonoTransact SQLno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatornone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yes infousing SASL (Simple Authentication and Security Layer) protocolyes infousing Azure authenticationyesno

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More resources
Adabas infodenotes "adaptable data base"MemcachedMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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