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

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

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonWeaviate  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 networksSearch-as-a-service for web and mobile app developmentAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelMultivalue DBMSDocument store
Key-value store
Search engineVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.58
Rank#91  Overall
#1  Multivalue DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­services/­searchgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchweaviate.io/­developers/­weaviate
DeveloperSoftware AGAtos Convergence CreatorsMicrosoftWeaviate B.V.
Initial release1971201620152019
Current release1703V11.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGo
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linuxhosted
Data schemeyesSchema and schema-less with LDAP viewsyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesoptionalyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.noyesnono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynonoGraphQL is used as query language
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 APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesNaturalAll languages with LDAP bindingsC#
Java
JavaScript
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresin Naturalnonono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infocell divisionSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)LDAP bind authenticationyes infousing Azure authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Atos Standard Common RepositoryMicrosoft Azure AI SearchWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
Adabas infodenotes "adaptable data base"Atos Standard Common RepositoryMicrosoft Azure AI SearchWeaviate
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Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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