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DBMS > Microsoft Azure SQL Database vs. ObjectBox vs. SQream DB vs. Weaviate

System Properties Comparison Microsoft Azure SQL Database vs. ObjectBox vs. SQream DB vs. Weaviate

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonObjectBox  Xexclude from comparisonSQream DB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerExtremely fast embedded database for small devices, IoT and Mobilea GPU-based, columnar RDBMS for big data analytics workloadsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSObject oriented DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databaseobjectbox.iosqream.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.objectbox.iodocs.sqream.comweaviate.io/­developers/­weaviate
DeveloperMicrosoftObjectBox LimitedSQream TechnologiesWeaviate B.V.
Initial release2010201720172019
Current releaseV122022.1.6, December 20221.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialOpen Source infocommercial license available with Weaviate Enterprise
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++C and C++C++, CUDA, Haskell, Java, ScalaGo
Server operating systemshostedAndroid
iOS
Linux
macOS
Windows
Linux
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes 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.yesnono
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoyesGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API.Net
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C++
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresTransact SQLnouser defined functions in Pythonno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableonline/offline synchronization between client and servernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzureObjectBoxSQream DBWeaviate
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 AzureObjectBoxSQream DBWeaviate
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