Manticore Search vs Milvus

Manticore Search is an open-source database for full-text, vector, hybrid, real-time indexing, and analytical queries. Applications can use SQL, the MySQL protocol, or JSON APIs. Full-text tools include fuzzy matching, query suggestions, filtering, faceting, stemming, lemmatization, synonyms, and highlighting. Vector search uses KNN with HNSW and supports cosine similarity, inner product, and squared L2 distance. Manticore can read from MySQL, Postgres, MSSQL, ODBC, XML, CSV, and TSV, and lists integrations such as Logstash, Apache Superset, Grafana, Fluentbit, Kibana, Vector.dev, and Elasticsearch dump. Installation options cover Linux, macOS, Windows, and Docker. The site recommends WSL2 for compatibility; native Windows binaries require Docker for Manticore Buddy and do not support replication. Authentication and authorization are opt-in. Binary API connections are not secured by SSL, and the manual advises keeping API-capable listeners off the public Internet. The free Community plan includes public support channels and a configuration review. Standard and Enterprise support plans have prices available by inquiry.

Milvus is an open-source vector database from Zilliz for GenAI and scalable vector search. It supports approximate-nearest-neighbor, filtered, range, hybrid, and full-text search, along with reranking, fetch, and query operations. Metadata filtering, sparse vectors, and index types including HNSW, IVF, FLAT, DiskANN, and SCANN are documented. Deployment choices are Milvus Lite as a Python library, Standalone as a single-machine server, and Distributed on Kubernetes. Documentation recommends Lite for up to a few million vectors, Standalone up to 100 million, and Distributed for 100 million to tens of billions. Lite can run locally without a cloud service for private or sensitive data; an online upgrade from Standalone to a cluster is not currently supported. Official interfaces include REST plus Python, Go, Java, Node.js, and C++ APIs or SDKs. C# is contributed by Microsoft and Rust is under development. Security documentation covers authentication, TLS for gRPC and REST, and role-based access control at collection, database, and instance levels. The Apache 2.0 software is free, and Zilliz Cloud is offered as a managed option.