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DBMS > Hyprcubd vs. Manticore Search vs. searchxml vs. Weaviate

System Properties Comparison Hyprcubd vs. Manticore Search vs. searchxml vs. Weaviate

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonManticore Search  Xexclude from comparisonsearchxml  Xexclude from comparisonWeaviate  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSMulti-storage database for search, including full-text search.DBMS for structured and unstructured content wrapped with an application serverAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSSearch engineNative XML DBMS
Search engine
Vector DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitehyprcubd.com (offline)manticoresearch.comwww.searchxml.net/­category/­productsgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationmanual.manticoresearch.comwww.searchxml.net/­support/­handoutsweaviate.io/­developers/­weaviate
DeveloperHyprcubd, Inc.Manticore Softwareinformationpartners gmbhWeaviate B.V.
Initial release201720152019
Current release6.0, February 20231.01.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen 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 languageGoC++C++Go
Server operating systemshostedFreeBSD
Linux
macOS
Windows
Windows
Data schemeyesFixed schemaschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes 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.noCan index from XMLyesno
Secondary indexesnoyes infofull-text index on all search fieldsyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsgRPC (https)Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
WebDAV
XQuery
XSLT
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C++ infomost other programming languages supported via APIsJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infoon the application serverno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyes infosychronisation to multiple collectionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesmultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datanoyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controltoken accessnoDomain, group and role-based access control at the document level and for application servicesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HyprcubdManticore SearchsearchxmlWeaviate
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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More resources
HyprcubdManticore SearchsearchxmlWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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