Loading...
Oracle's core database now includes vector search capabilities, enabling enterprises to perform scalable vector queries natively as part of their data management workflows. Oracle includes vector search capabilities in its database platform, supporting approximate KNN and hybrid search for enterprise-scale use cases.
Datastax offers a vector search solution integrated with its database platform, enabling approximate similarity search and hybrid queries for enterprise use cases.
Solr is a mature open-source search engine that has incorporated vector search capabilities, making it relevant for enterprises looking to implement vector-based search alongside traditional keyword search.
AWS has introduced vector search in several of its managed database services, including OpenSearch, Bedrock, MemoryDB, Neptune, and Amazon Q, making it a comprehensive platform for vector search solutions.
Elasticsearch is a distributed search engine supporting various data types, including vectors, and provides scalable vector search capabilities, making it a popular choice for modern AI-powered applications. It can be extended with the k-NN plugin to provide scalable vector search using HNSW and Lucene, enabling hybrid semantic and keyword search capabilities.
Google Vertex AI offers managed vector search capabilities as part of its AI platform, supporting hybrid and semantic search for text, image, and other embeddings.
Oracle Database Vector Search introduces vector search capabilities natively within Oracle's core database platform. This enables enterprises to perform scalable vector queries as part of their data management workflows, supporting both approximate and hybrid search methods.
No specific pricing information is provided in the available content. The certification exam fee ($245) is currently waived until May 15, 2025, for the associated learning path and certification.