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DBMS > Weaviate

Weaviate System Properties

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Editorial information provided by DB-Engines
NameWeaviate
DescriptionA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#295  Overall
#19  Search engines
Websitegithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationweaviate.io/­developers/­weaviate/­current
DeveloperSeMI Technologies B.V.
Initial release2017
Current release1.0.3, January 2021
License infoCommercial or Open SourceOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Data schemeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes 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.no
Secondary indexesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLGraphQL is used as query language
APIs and other access methodsGraphQL query language
RESTful HTTP/JSON API
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlOpenID Connect Discovery
More information provided by the system vendor
Weaviate
Typical application scenarios

As a stand-alone vector search engine, or use one of the many modules (transformers, GPT-3, and more) to vectorize. Used for unstructured and unharmonized data.

Key customers

All companies that have data.

Licensing and pricing models

Weaviate is open-source, and free to use. We also offer Fully managed Weaviate on the Weaviate Cluster Service, price on request.


Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Weaviate
DB-Engines blog posts

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

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Recent citations in the news

SeMI Technologies’ search engine opens up new ways to query your data
22 February 2022, TechCrunch

Database technology evolves to combine machine learning and data storage
7 March 2022, VentureBeat

The History of the Weaviate Vector Search Engine
9 May 2020, hackernoon.com

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

Weaviate Is A Search Engine For Vector Embeddings
11 May 2020, hackernoon.com

provided by Google News



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