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MongoDB is a general-purpose database that now includes vector search capabilities, enabling light vector workloads alongside traditional database functionality. MongoDB Atlas, the managed cloud offering, includes vector search built on Lucene, supporting ANN queries and hybrid search. MongoDB Atlas Search integrates powerful vector search capabilities directly within MongoDB.
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.
Azure AI Search provides vector search capabilities as a managed service, supporting approximate KNN, hybrid search, and integration with other Azure AI tools.
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.
Apache Cassandra is a distributed NoSQL database that is adding native support for high-dimensional vector storage and approximate nearest neighbor search, making it a scalable choice for AI and vector search workloads.
Datastax offers a vector search solution integrated with its database platform, enabling approximate similarity search and hybrid queries for enterprise use cases.
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.
Website: mongodb.com
Category: Vector Database Engines
Tags: vector-search, hybrid-search, nosql, managed-service
MongoDB is a modern, general-purpose document database that supports both traditional NoSQL workloads and advanced AI/ML workloads with integrated vector search capabilities. MongoDB Atlas, its managed cloud service, delivers features such as full-text search, generative AI support, and vector search—enabling organizations to build intelligent applications with less complexity.
MongoDB offers several deployment and pricing options: