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DBMS > Adabas vs. Atos Standard Common Repository vs. Hazelcast vs. IBM Db2 warehouse vs. Microsoft Azure AI Search

System Properties Comparison Adabas vs. Atos Standard Common Repository vs. Hazelcast vs. IBM Db2 warehouse vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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 networksA widely adopted in-memory data gridCloud-based data warehousing serviceSearch-as-a-service for web and mobile app development
Primary database modelMultivalue DBMSDocument store
Key-value store
Key-value storeRelational DBMSSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositoryhazelcast.comwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­services/­search
Technical documentationhazelcast.org/­imdg/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftware AGAtos Convergence CreatorsHazelcastIBMMicrosoft
Initial release19712016200820142015
Current release17035.3.6, November 2023V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxAll OS with a Java VMhostedhosted
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesyes infothe object must implement a serialization strategyno infoImport/export of XML data possibleno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynoSQL-like query languageyesno
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
LDAPJCache
JPA
Memcached protocol
RESTful HTTP API
.NET Client API
JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesNaturalAll languages with LDAP bindings.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresin Naturalnoyes infoEvent Listeners, Executor ServicesPL/SQL, SQL PLno
Triggersnoyesyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infocell divisionShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesyes infoReplicated Mapyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)LDAP bind authenticationRole-based access controlfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
Adabas infodenotes "adaptable data base"Atos Standard Common RepositoryHazelcastIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure AI Search
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