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

System Properties Comparison Adabas vs. Atos Standard Common Repository vs. Datomic 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 comparisonDatomic  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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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
Score1.59
Rank#150  Overall
#69  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-repositorywww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
azure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftware AGAtos Convergence CreatorsCognitectDragonflyDB team and community contributorsMicrosoft
Initial release19712016201220232015
Current release17031.0.6735, June 20231.0, March 2023V1
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen 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 languageJavaJava, ClojureC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxAll OS with a Java VMLinuxhosted
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 indexesyesyesyesnoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaynononono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
LDAPRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP API
Supported programming languagesNaturalAll languages with LDAP bindingsClojure
Java
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 Naturalnoyes infoTransaction FunctionsLuano
TriggersnoyesBy using transaction functionspublish/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 divisionnone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesnone infoBut extensive use of caching in the application peersSource-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 operationsACIDAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)LDAP bind authenticationnoPassword-based authenticationyes infousing Azure authentication

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