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DBMS > Microsoft Azure SQL Database vs. RavenDB vs. SWC-DB vs. Weaviate

System Properties Comparison Microsoft Azure SQL Database vs. RavenDB vs. SWC-DB vs. Weaviate

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSDocument storeWide column storeVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score3.01
Rank#101  Overall
#17  Document stores
Score0.01
Rank#387  Overall
#13  Wide column stores
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databaseravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlravendb.net/­docsweaviate.io/­developers/­weaviate
DeveloperMicrosoftHibernating RhinosAlex KashirinWeaviate B.V.
Initial release2010201020202019
Current releaseV125.4, July 20220.5, April 20211.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3Open 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#C++Go
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyes 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 indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query language (RQL)SQL-like query languageGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresTransact SQLyesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableno
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-standardAuthorization levels configured per client per databaseAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzureRavenDBSWC-DB infoSuper Wide Column DatabaseWeaviate
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 AzureRavenDBSWC-DB infoSuper Wide Column DatabaseWeaviate
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