Milvus - 2026 Pricing, Features, Reviews & Alternatives

Milvus is an open-source vector database built for AI and generative AI applications, supporting storage, indexing, and similarity search across millions to tens of billions of high-dimensional vector embeddings. It serves developers and engineering teams across technology, e-commerce, financial services, media, energy, pharmaceutical, legal, and enterprise software sectors. Three self-managed deployment modes cover the full development lifecycle: Milvus Lite runs as a Python library installable via a single pip command for local or edge use; Milvus Standalone runs as a single Docker image on a single machine supporting up to 100 million vectors; and Milvus Distributed runs on Kubernetes with a cloud-native, disaggregated storage and compute architecture for tens-of-billions-of-vector workloads. A fully managed option is also available via Zilliz Cloud. A single write-once codebase is portable across all three deployment modes with no API changes.

Search capabilities include approximate nearest neighbor (ANN) search, filtering search, range search, hybrid search across multiple vector fields, full-text search using BM25, reranking, and metadata filtering. Over 10 index types are supported, including HNSW, IVF, DiskANN, SCANN, FLAT, and GPU-based indexing via NVIDIA CAGRA, with hardware-aware optimization for AVX512, SIMD, GPUs, and NVMe SSDs. Multi-vector and multi-tenancy support allows isolation at the database, collection, partition, or partition key level, scaling from hundreds to millions of tenants on a single cluster. REST and gRPC APIs are available alongside SDKs for Python, Java, Go, C#, and Node.js.

Milvus integrates with embedding models via PyMilvus to convert unstructured data including text, images, audio, and video into vector embeddings for storage and retrieval. It is compatible with retrieval-augmented generation (RAG) pipelines, recommendation systems, semantic search, anomaly detection, image search, natural language processing, chatbots, and fraud detection workflows. Enterprise-grade security is provided through Role-Based Access Control (RBAC), TLS encryption, and mandatory user authentication. Operational tooling includes Prometheus and Grafana integration for monitoring, Milvus Backup for data backup and restore, and Milvus CDC for change data capture supporting primary-standby disaster recovery.