Databases · head to head
Zilliz vs Marqo

Zilliz
Databases
Managed vector database and vector lakebase for AI applications
- From
- Free
- Rated
- -

Marqo
Databases
AI-native product discovery platform for ecommerce
- From
- On request
- Rated
- -
The short version
- Only Zilliz has a free tier, so it costs nothing to try first.
- Each has a real cost: Zilliz pricing structure not publicly disclosed, requires sales contact; Marqo pricing not publicly available, enterprise sales-only model
- They diverge on capability: Zilliz covers Vector indexing, Marqo covers Semantic search.
Where they differ
Only the attributes on which Zilliz and Marqo 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 Zilliz
- Vector indexing
- Distributed architecture
- SQL interface
- Tensor support
- Real-time search
- Cloud-native
- Open-source compatible
Only in Marqo
- Semantic search
- Multimodal image search
- AI model training
- Automated merchandising
- Multi-surface integration
- Commerce platform integrations
- API access
What people use each for
The jobs each tool is most often brought in to do.
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
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
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
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
Pricing, plan by plan
Zilliz
FreeNo published plan breakdown. See the Zilliz review.
Marqo
On requestNo published plan breakdown. See the Marqo review.
Which should you pick?
Choose Zilliz if
- You need vector indexing.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want distributed architecture.
Choose Marqo if
- You need semantic search.
- You work on Web API, SaaS.
- You also want multimodal image search.
Questions people ask
- Is Zilliz or Marqo better?
- Neither clearly leads. Zilliz starts at Free and Marqo at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Zilliz or Marqo?
- Zilliz has a free tier; the other does not. Paid plans start at Free for Zilliz and On request for Marqo.
- Does Zilliz or Marqo run on more platforms?
- Zilliz runs on Cloud, Self-hosted. Marqo runs on Web API, SaaS.
- 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 Zilliz best used for?
- Zilliz is most often used for build retrieval-augmented generation (rag) systems, implement semantic search over documents, create multimodal search with text and images, power recommendation engines with vector similarity. Of those, build retrieval-augmented generation (rag) systems and implement semantic search over documents are not what Marqo is typically brought in for.
- What can Zilliz do that Marqo cannot?
- Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support. Marqo covers Semantic search, Multimodal image search, AI model training, Automated merchandising.
Answered from the vendors’ own pages
Zilliz: 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: 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: 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: 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: 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: 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: 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.
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.
SourceRelated pages
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