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DBMS > Adabas vs. Atos Standard Common Repository vs. Databend vs. Dragonfly vs. Microsoft Azure AI Search

System Properties Comparison Adabas vs. Atos Standard Common Repository vs. Databend vs. Dragonfly vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatabend  Xexclude from comparisonDragonfly  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceSearch-as-a-service for web and mobile app development
Primary database modelMultivalue DBMSDocument store
Key-value store
Relational DBMSKey-value storeSearch engine
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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­datafuselabs/­databend
www.databend.com
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
azure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.databend.comwww.dragonflydb.io/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftware AGAtos Convergence CreatorsDatabend LabsDragonflyDB team and community contributorsMicrosoft
Initial release19712016202120232015
Current release17031.0.59, April 20231.0, March 2023V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoBSL 1.1commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linuxhosted
Linux
macOS
Linuxhosted
Data schemeyesSchema and schema-less with LDAP viewsyesscheme-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.noyesnonono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynoyesnono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
LDAPCLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP API
Supported programming languagesNaturalAll languages with LDAP bindingsGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresin NaturalnonoLuano
Triggersnoyesnopublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infocell divisionnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesnoneSource-replica replicationyes infoImplicit feature of the cloud service
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 configurationImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsyesAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)LDAP bind authenticationUsers with fine-grained authorization concept, user rolesPassword-based authenticationyes infousing Azure authentication

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More resources
Adabas infodenotes "adaptable data base"Atos Standard Common RepositoryDatabendDragonflyMicrosoft Azure AI Search
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