LanceDB vs Milvus

LanceDB is an open-source, AI-native multimodal lakehouse for developing training datasets. It brings raw bytes, enriched features, metadata, and embeddings into searchable tables. Search supports vector or semantic queries, full-text search, and hybrid queries with SQL filters. Dataset curation includes deduplication and identifying edge cases for labeling. Users can write local Python UDFs and run declarative feature pipelines at petabyte scale, according to the product page. Writes are automatically versioned, allowing branches, rollbacks, and experiment tags without duplicating data. The Enterprise suite covers Search, Exploratory Data Analysis, Feature Engineering, and Training, with platform-level index and table limits and safety checks for operations such as merge_insert. Lance Namespace names Apache Hive Metastore, AWS Glue Catalog, and Apache Spark integrations. Workloads can be distributed through Ray and KubeRay on on-premises or cloud clusters. LanceDB OSS is free for local or storage-path connections.

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.