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DBMS > IBM Cloudant vs. Microsoft Azure SQL Database vs. Microsoft Azure Table Storage vs. Weaviate

System Properties Comparison IBM Cloudant vs. Microsoft Azure SQL Database vs. Microsoft Azure Table Storage vs. Weaviate

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Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBDatabase as a Service offering with high compatibility to Microsoft SQL ServerA Wide Column Store for rapid development using massive semi-structured datasetsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeRelational DBMSWide column storeVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.ibm.com/­products/­cloudantazure.microsoft.com/­en-us/­products/­azure-sql/­databaseazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­en-us/­azure/­azure-sqlweaviate.io/­developers/­weaviate
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftMicrosoftWeaviate B.V.
Initial release2010201020122019
Current releaseV121.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++Go
Server operating systemshostedhostedhosted
Data schemeschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyesyes 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 indexesyesyesnoyes 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 methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptTransact SQLnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes, with always 3 replicas availableyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
IBM CloudantMicrosoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Table StorageWeaviate
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
IBM CloudantMicrosoft Azure SQL Database infoformerly SQL AzureMicrosoft Azure Table StorageWeaviate
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