Marqo vs Weaviate
A side-by-side comparison of Marqo and Weaviate, two Vector DB tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
The honest brief
Marqo
Bundles embedding generation, storage, and retrieval behind one API and can train a model on your own catalog — no separate embedding pipeline to wire up.
- Generates and stores embeddings in-engine
- Native multimodal (text + image) search
- Turnkey ecommerce platform integrations
- Backed by Lightspeed and Blackbird
- Open-source engine is deprecated, no longer updated
- No public pricing; commercial product is sales-led
- Scope narrowed toward ecommerce search
Weaviate
Built-in vectorizer modules embed text inline — raw text in, vectors out — so you skip running a separate embedding pipeline.
- Hybrid BM25 + vector search
- Self-hostable or managed cloud
- GraphQL and REST APIs
- Resource-heavy at large scale
- Module config has a learning curve
- Managed tier costs add up
- Newer than some lexical engines