Databases · head to head
Marqo vs Zilliz

Marqo
Databases
AI-native product discovery platform for ecommerce
- From
- On request
- Rated
- -

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -
The short version
- Only Zilliz has a free tier, so it costs nothing to try first.
- Each has a real cost: Marqo pricing not publicly available, enterprise sales-only model; Zilliz pricing structure not publicly disclosed, requires sales contact
- They diverge on capability: Marqo covers Semantic search, Zilliz covers Vector indexing.
Where they differ
Only the attributes on which Marqo and Zilliz actually diverge.
Identical on both: pricing model (contact-sales), user rating (Not yet rated), category (Databases).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Marqo
- Semantic search
- Multimodal image search
- AI model training
- Automated merchandising
- Multi-surface integration
- Commerce platform integrations
- API access
Only in Zilliz
- Vector indexing
- Distributed architecture
- SQL interface
- Tensor support
- Real-time search
- Cloud-native
- Open-source compatible
What people use each for
The jobs each tool is most often brought in to do.
Marqo
- Improve search revenue for fashion and beauty retailersnot Zilliz
- Implement multimodal image and product searchnot Zilliz
- Increase checkout conversion through better product discoverynot Zilliz
- Create personalized product recommendationsnot Zilliz
- Reduce customer support inquiries with relevant search resultsnot Zilliz
Zilliz
- Build retrieval-augmented generation (RAG) systemsnot Marqo
- Implement semantic search over documentsnot Marqo
- Create multimodal search with text and imagesnot Marqo
- Power recommendation engines with vector similaritynot Marqo
- Enable similarity search on user embeddingsnot Marqo
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Marqo
- Pricing not publicly available, enterprise sales-only model
- Requires custom implementation and integration work
- Limited to ecommerce use cases compared to general search
- Model training requires sufficient customer behavior data
Zilliz
- Pricing structure not publicly disclosed, requires sales contact
- Operational complexity for self-hosted Milvus deployments
- Learning curve for those unfamiliar with vector databases
- Limited built-in analytics compared to some alternatives
Pricing, plan by plan
Marqo
On requestNo published plan breakdown. See the Marqo review.
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Which should you pick?
Choose Marqo if
- You need semantic search.
- You work on Web API, SaaS.
- You also want multimodal image search.
Choose Zilliz if
- You need vector indexing.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want distributed architecture.
Questions people ask
- Is Marqo or Zilliz better?
- Neither clearly leads. Marqo starts at On request and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Marqo or Zilliz?
- Zilliz has a free tier; the other does not. Paid plans start at On request for Marqo and Free for Zilliz.
- Does Marqo or Zilliz run on more platforms?
- Marqo runs on Web API, SaaS. Zilliz runs on Cloud, Self-hosted.
- Can I use Zilliz for free?
- Yes. Zilliz has a free tier, so you can try it without paying. Marqo starts at On request.
- What is Marqo best used for?
- Marqo is most often used for improve search revenue for fashion and beauty retailers, implement multimodal image and product search, increase checkout conversion through better product discovery, create personalized product recommendations. Of those, improve search revenue for fashion and beauty retailers and implement multimodal image and product search are not what Zilliz is typically brought in for.
- What can Marqo do that Zilliz cannot?
- Marqo covers Semantic search, Multimodal image search, AI model training, Automated merchandising. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.
Answered from the vendors’ own pages
Marqo: How do Marqo models get trained?
Marqo trains dedicated AI models on each retailer's product catalog and customer behavior data including clicks, purchases, and browsing patterns. This ensures models are optimized for the specific retailer's products and customers.
SourceZilliz: What is the difference between Milvus and Zilliz Cloud?
Milvus is the open-source vector database that you can self-host. Zilliz Cloud is the fully managed service built on Milvus that removes operational overhead and handles scaling automatically.
SourceMarqo: What results can retailers expect from Marqo?
Enterprise retailers using Marqo report 10-23% increases in search revenue and conversion rates, with proven results across fashion, beauty, electronics, and home goods.
SourceZilliz: How many vectors can Zilliz handle?
Milvus and Zilliz Cloud can store and search billions of vectors through their distributed architecture that separates storage and compute layers.
SourceMarqo: Which ecommerce platforms does Marqo integrate with?
Marqo has native integrations with Shopify, Adobe Commerce (Magento), and Salesforce Commerce Cloud, and also provides API access for custom implementations.
SourceZilliz: Is Milvus open-source?
Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.
SourceMarqo: How is Marqo priced?
Marqo pricing is customized based on catalog size, search volume, and feature requirements. Contact their sales team to book a demo and discuss pricing.
SourceZilliz: What pricing does Zilliz Cloud offer?
Zilliz Cloud pricing is not publicly listed and requires contacting their team to discuss your specific scale and use case requirements.
SourceRelated pages
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