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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInterbase  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.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight proven RDBMS infooriginally from BorlandSearch-as-a-service for web and mobile app developmentAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Key-value store
Relational DBMSSearch engineVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­searchgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.embarcadero.com/­products/­interbaselearn.microsoft.com/­en-us/­azure/­searchweaviate.io/­developers/­weaviate
DeveloperAtos Convergence CreatorsEmbarcaderoMicrosoftWeaviate B.V.
Initial release2016198420152019
Current release1703InterBase 2020, December 2019V11.19, 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 languageJavaCGo
Server operating systemsLinuxAndroid
iOS
Linux
OS X
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateoptionalyesyesyes 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.yesno infoexport as XML data possiblenono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesnoGraphQL is used as query language
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
Java
JavaScript
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infoInterbase procedure and trigger languagenono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesInterbase Change Viewsyes 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 Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes
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.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardyes infousing Azure authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Atos Standard Common RepositoryInterbaseMicrosoft 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
Atos Standard Common RepositoryInterbaseMicrosoft Azure AI SearchWeaviate
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