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Weaviate System Properties
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|Editorial information provided by DB-Engines|
|Description||A cloud-native, realtime vector search engine integrating scalable machine learning models|
|Primary database model||Search engine|
|Developer||SeMI Technologies B.V.|
|Current release||1.0.3, January 2021|
|License Commercial or Open Source||Open Source commercial license available with Weaviate Enterprise|
|Cloud-based only Only available as a cloud service||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Data scheme||yes, maps to GraphQL interface|
|Typing predefined data types such as float or date||yes string, int, float, geo point, date, cross reference, fuzzy references|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no|
|Secondary indexes||yes all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed|
|SQL Support of SQL||GraphQL is used as query language|
|APIs and other access methods||GraphQL query language|
RESTful HTTP/JSON API
|Server-side scripts Stored procedures||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
|Foreign keys Referential integrity||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no|
|Concurrency Support for concurrent manipulation of data||yes|
|Durability Support for making data persistent||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||OpenID Connect Discovery|
|More information provided by the system vendor|
|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.
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
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|DB-Engines blog posts|
Weaviate, an ANN Database with CRUD support SeMI Technologies’ search engine opens up new ways to query your data Database technology evolves to combine machine learning and data storage The History of the Weaviate Vector Search Engine Getting Started with the Weaviate Vector Search Engine Weaviate Is A Search Engine For Vector Embeddings provided by Google News
SeMI Technologies’ search engine opens up new ways to query your data
Database technology evolves to combine machine learning and data storage
The History of the Weaviate Vector Search Engine
Getting Started with the Weaviate Vector Search Engine
Weaviate Is A Search Engine For Vector Embeddings
provided by Google News
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