Marqo vs Weaviate
A side-by-side comparison of two self-hosted search engines options — licensing, setup difficulty, resource needs, and what each one replaces.
Weaviate
Open-source vector database for semantic and AI search
| Feature | Marqo | Weaviate |
|---|---|---|
| Deploy effort | Under-an-hour setup | Under-an-hour setup |
| Health score | 87 · Excellent | 95 · Excellent |
| Category | Search Engines | Search Engines |
| License | Apache-2.0 | BSD-3-Clause |
| Language | Python | Go |
| Setup difficulty | Medium | Medium |
| Min. RAM | 4,096 MB | 2,048 MB |
| Deployment | docker, kubernetes | docker, kubernetes, helm |
| GitHub stars | ★ 5,030 | ★ 16,841 |
| First released | 2022 | 2019 |
| Replaces | Algolia, Pinecone | Pinecone, Algolia |
What are Marqo and Weaviate?
Marqo
Marqo is an open-source, end-to-end search engine that combines vector generation, storage and retrieval. It handles embedding creation automatically so you can run semantic search over text and images.
- Built-in embedding generation
- Text and image semantic search
- No separate ML pipeline needed
- Simple REST API
Weaviate
Weaviate is an open-source vector database that stores objects and their vector embeddings for semantic search. It enables AI-powered similarity search, retrieval-augmented generation and hybrid queries.
- Vector and hybrid search
- Built-in vectorization modules
- GraphQL and REST APIs
- Horizontal scaling
Marqo vs Weaviate: key differences
Marqo is written in Python, while Weaviate is built with Go. Licensing differs — Apache-2.0 for Marqo versus BSD-3-Clause for Weaviate. Weaviate is the lighter option, starting around 2,048 MB of RAM against 4,096 MB for Marqo. Weaviate is the more established project (first released 2019), while Marqo arrived in 2022. Weaviate has the considerably larger community, at 16,841 GitHub stars versus 5,030.
Why pick each one
Choose Marqo if…
- All-in-one vector search
- No external embedding service required
Watch out for
- Heavy GPU or RAM needs for models
Choose Weaviate if…
- Great for AI semantic search
- Easy to start
Watch out for
- Memory hungry with large datasets
Frequently asked questions
Is Marqo or Weaviate better?
Neither is universally better. Weaviate has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are Marqo and Weaviate free and open-source?
Yes. Marqo is licensed under Apache-2.0 and Weaviate under BSD-3-Clause. Both can be self-hosted at no software cost.
Can I run Marqo and Weaviate with Docker?
Marqo: yes. Weaviate: yes.
Which is lighter on resources, Marqo or Weaviate?
Weaviate has the smaller minimum footprint at 2,048 MB of RAM, compared to about 4,096 MB for Marqo. Real-world usage depends on library size, user count, and enabled features.