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DBMS > Microsoft Azure Table Storage vs. OrigoDB vs. Trafodion vs. Weaviate

System Properties Comparison Microsoft Azure Table Storage vs. OrigoDB vs. Trafodion vs. Weaviate

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonOrigoDB  Xexclude from comparisonTrafodion  Xexclude from comparisonWeaviate  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsA fully ACID in-memory object graph databaseTransactional SQL-on-Hadoop DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelWide column storeDocument store
Object oriented DBMS
Relational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesorigodb.comtrafodion.apache.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationorigodb.com/­docstrafodion.apache.org/­documentation.htmlweaviate.io/­developers/­weaviate
DeveloperMicrosoftRobert Friberg et alApache Software Foundation, originally developed by HPWeaviate B.V.
Initial release20122009 infounder the name LiveDB20142019
Current release2.3.0, February 20191.19, May 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0Open 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++, JavaGo
Server operating systemshostedLinux
Windows
Linux
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes 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.nono infocan be achieved using .NETnono
Secondary indexesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoyesGraphQL is used as query language
APIs and other access methodsRESTful HTTP API.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetAll languages supporting JDBC/ODBC/ADO.NetJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresno
Triggersnoyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationyes, via HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynodepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights based on private key authentication or shared access signaturesRole based authorizationfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Microsoft Azure Table StorageOrigoDBTrafodionWeaviate
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...
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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
Microsoft Azure Table StorageOrigoDBTrafodionWeaviate
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