Milvus vs Marqo(2026)
Milvus is better for teams that need best for large-scale deployments. Marqo is the stronger choice if no external embedding model needed. Milvus is open-source (from $0) and Marqo is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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Milvus
Milvus is an open-source, cloud-native vector database built for scalable similarity search. Designed for billion-scale vectors with high throughput and low latency.
Starting at $0
Visit MilvusMarqo
Marqo is an end-to-end tensor search engine that generates, stores, and retrieves embeddings automatically — send text or images and Marqo handles the ML pipeline for you.
Starting at $0
Visit MarqoHow Do Milvus and Marqo Compare on Features?
| Feature | Milvus | Marqo |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Open source | ✓ | ✓ |
| Billion-scale vectors | ✓ | — |
| Multiple index types (IVF, HNSW) | ✓ | — |
| Cloud-native (Kubernetes) | ✓ | — |
| Attu GUI | ✓ | — |
| Multi-vector search | ✓ | — |
| Managed (Zilliz Cloud) | ✓ | — |
| Auto-vectorization | — | ✓ |
| Multimodal (text + image) | — | ✓ |
| Managed cloud | — | ✓ |
| Lexical + tensor hybrid | — | ✓ |
| REST API | — | ✓ |
| Python SDK | — | ✓ |
Milvus Pros and Cons vs Marqo
Milvus
Marqo
Should You Use Milvus or Marqo?
Choose Milvus if…
- •Best for large-scale deployments
- •Active CNCF project
- •Multiple index options
Choose Marqo if…
- •No external embedding model needed
- •Multimodal out of the box
- •Simple API