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DBMS > InterSystems IRIS vs. Lovefield vs. Microsoft Azure Table Storage vs. Rockset vs. Weaviate

System Properties Comparison InterSystems IRIS vs. Lovefield vs. Microsoft Azure Table Storage vs. Rockset vs. Weaviate

Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRockset  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityEmbeddable relational database for web apps written in pure JavaScriptA Wide Column Store for rapid development using massive semi-structured datasetsA scalable, reliable search and analytics service in the cloud, built on RocksDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSWide column storeDocument storeVector DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.79
Rank#211  Overall
#35  Document stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.intersystems.com/­products/­intersystems-irisgoogle.github.io/­lovefieldazure.microsoft.com/­en-us/­services/­storage/­tablesrockset.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.rockset.comweaviate.io/­developers/­weaviate
DeveloperInterSystemsGoogleMicrosoftRocksetWeaviate B.V.
Initial release20182014201220192019
Current release2023.3, June 20232.1.12, February 20171.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++Go
Server operating systemsAIX
Linux
macOS
Ubuntu
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihostedhosted
Data schemedepending on used data modelyesschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes 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.yesnonono infoingestion from XML files supportedno
Secondary indexesyesyesnoall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL-like query language infovia JavaScript builder patternnoRead-only SQL queries, including JOINsGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP RESTGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
JavaScript.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnononono
TriggersyesUsing read-only observersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBnoyes
User concepts infoAccess controlyesnoAccess rights based on private key authentication or shared access signaturesAccess rights for users and organizations can be defined via Rockset consoleAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
InterSystems IRISLovefieldMicrosoft Azure Table StorageRocksetWeaviate
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Weaviate 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
InterSystems IRISLovefieldMicrosoft Azure Table StorageRocksetWeaviate
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