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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||Vector DBMS|
|Current release||1.17, December 2022|
|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.
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|DB-Engines blog posts|
Weaviate, an ANN Database with CRUD support Weaviate Raises $50 Million Series B Funding to Meet Soaring ... Weaviate reels in $50M for its AI-optimized vector database Index Ventures Leads $50 Million Investment in AI Startup Weaviate Why You Shouldn't Invest In Vector Databases? SeMI Technologies becomes Weaviate USA - English - USA - English provided by Google News Community Technical Support Senior Machine Learning Engineer Community Manager Developer Advocate (US East Coast) Head of Database
Weaviate Raises $50 Million Series B Funding to Meet Soaring ...
Weaviate reels in $50M for its AI-optimized vector database
Index Ventures Leads $50 Million Investment in AI Startup Weaviate
Why You Shouldn't Invest In Vector Databases?
SeMI Technologies becomes Weaviate USA - English - USA - English
provided by Google News
Community Technical Support
Senior Machine Learning Engineer
Developer Advocate (US East Coast)
Head of Database
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