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DBMS > Microsoft Azure SQL Database vs. Valentina Server vs. Weaviate vs. Yaacomo

System Properties Comparison Microsoft Azure SQL Database vs. Valentina Server vs. Weaviate vs. Yaacomo

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonValentina Server  Xexclude from comparisonWeaviate  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerObject-relational database and reports serverAn AI-native realtime vector database engine that integrates scalable machine learning models.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.valentina-db.netgithub.com/­weaviate/­weaviate
weaviate.io
yaacomo.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpweaviate.io/­developers/­weaviate
DeveloperMicrosoftParadigma SoftwareWeaviate B.V.Q2WEB GmbH
Initial release2010199920192009
Current releaseV125.7.51.19, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license available with Weaviate Enterprisecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Go
Server operating systemshostedLinux
OS X
Windows
Android
Linux
Windows
Data schemeyesyesyes, maps to GraphQL interfaceyes
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes
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.yesnono
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedyes
SQL infoSupport of SQLyesyesGraphQL is used as query languageyes
APIs and other access methodsADO.NET
JDBC
ODBC
ODBCGraphQL query language
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresTransact SQLyesno
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
fine grained access rights according to SQL-standard
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzureValentina ServerWeaviateYaacomo
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureValentina ServerWeaviateYaacomo
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