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DBMS > Memcached vs. Microsoft Azure AI Search vs. Sequoiadb vs. Weaviate

System Properties Comparison Memcached vs. Microsoft Azure AI Search vs. Sequoiadb vs. Weaviate

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Editorial information provided by DB-Engines
NameMemcached  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSequoiadb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionIn-memory key-value store, originally intended for cachingSearch-as-a-service for web and mobile app developmentNewSQL database with distributed OLTP and SQLAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeSearch engineDocument store
Relational DBMS
Vector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.08
Rank#32  Overall
#4  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.memcached.orgazure.microsoft.com/­en-us/­services/­searchwww.sequoiadb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­memcached/­memcached/­wikilearn.microsoft.com/­en-us/­azure/­searchwww.sequoiadb.com/­en/­index.php?m=Files&a=indexweaviate.io/­developers/­weaviate
DeveloperDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoftSequoiadb Ltd.Weaviate B.V.
Initial release2003201520132019
Current release1.6.27, May 2024V11.19, May 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Go
Server operating systemsFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
Data schemeschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyes infooid, date, timestamp, binary, regexyes 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.nonono
Secondary indexesnoyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoSQL-like query languageGraphQL is used as query language
APIs and other access methodsProprietary protocolRESTful HTTP APIproprietary protocol using JSONGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Python
.Net
C++
Java
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoJavaScriptno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoRepcached, a Memcached patch, provides this functionallityyes infoImplicit feature of the cloud serviceSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlyes infousing SASL (Simple Authentication and Security Layer) protocolyes infousing Azure authenticationsimple password-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
MemcachedMicrosoft Azure AI SearchSequoiadbWeaviate
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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MemcachedMicrosoft Azure AI SearchSequoiadbWeaviate
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