Key features
Core capabilities each platform advertises.
- Billion-scale vector search
- GPU-accelerated indexing
- Distributed architecture
- Multiple index types
- Cloud and self-hosted options
Data not available
Updated February 28, 2026
Milvus is an open-source vector database built for scalable similarity search, capable of handling billions of vectors. Backed by the Zilliz company, Milvus supports multiple index types (IVF, HNSW, DiskANN), GPU-accelerated search, and multi-tenancy. Zilliz Cloud offers a fully managed version with automatic scaling. Milvus is widely used in enterprise deployments requiring high-throughput vector search at scale.
MongoDB Atlas Vector Search adds vector similarity search directly into MongoDB, allowing developers to combine vector embeddings with traditional document queries, full-text search, and geospatial queries in a single database. It eliminates the need for a separate vector database for teams already using MongoDB.
Core capabilities each platform advertises.
What each tool does well, and the limitations to keep in mind.
Pros
Cons
Pros
Cons
Choose Milvus if you wantChoose if you want
Choose MongoDB Atlas if you wantChoose if you want
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
Try Respan free