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A vector database, vector store or vector search engine is a database that can store vectors (fixed-length lists of numbers) along with other data items. Vector databases typically implement one or more Approximate Nearest Neighbor algorithms, [1] [2] [3] so that one can search the database with a query vector to retrieve the closest matching database records.
Pages in category "Database software comparisons" The following 10 pages are in this category, out of 10 total. ... Comparison of object database management systems;
Supported data models (conceptual, logical, physical) Supported notations Forward engineering Reverse engineering Model/database comparison and synchronization Teamwork/repository Database Workbench: Conceptual, logical, physical IE (Crow’s foot) Yes Yes Update database and/or update model No Enterprise Architect
When Pinecone announced a vector database at the beginning of last year, it was building something that was specifically designed for machine learning and aimed at data scientists.
The following tables compare general and technical information for a number of available database administration tools. Please see individual product articles for further information. This article is neither all-inclusive nor necessarily up to date. Systems listed on a light purple background are no longer in active development.
Relational database management system (includes market share data) List of relational database management systems; Comparison of object–relational database management systems; Comparison of database administration tools; Object database – some of which have relational (SQL/ODBC) interfaces.
Milvus is a distributed vector database developed by Zilliz. It is available as both open-source software and a cloud service . Milvus is an open-source project under LF AI & Data Foundation [ 2 ] distributed under the Apache License 2.0 .
Embedded database supporting efficient, distributed management of C++ and Java objects. Avoids the complexities and limitations of ORM products such as Hibernate by storing objects directly with their relationships intact. Uses a page-based mapping system for fast locking and efficient, distributed, client-side caching. ODABA: 12.3.0 (August 2013)