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
| Attribute | Marqo | Weaviate |
|---|---|---|
| Category | Vector DB | Vector DB |
| Pricing (differs) | PAID | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | API, Web | API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Marqo | Weaviate |
| Capabilities (differs) |
|
|
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- Open-source engine is deprecated, no longer updated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
When to pick which
Both cover Vector search, Embeddings, and Recommendation engine.
Pick Weaviate if you need RAG pipeline.
- RAG pipeline (secondary capability)
Weaviate leans on Embeddings as a headline capability; Marqo treats it as secondary.
- Embeddings (primary capability)
They also differ on:
- Pricing
- PAID · FREEMIUM
- License
- Proprietary · Open core
- Deployment
- Cloud · Hybrid
- Platforms
- API, Web · API