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Databases · head to head

Zilliz vs Vespa

Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite
Vespa logo

Vespa

Databases

Distributed AI search platform for retrieval, ranking, and inference

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Zilliz pricing structure not publicly disclosed, requires sales contact; Vespa pricing not publicly listed, requires contacting sales
  • They diverge on capability: Zilliz covers Vector indexing, Vespa covers Vector search.

Where they differ

Only the attributes on which Zilliz and Vespa actually diverge.

Attributes where Zilliz and Vespa differ
AttributeZillizVespa
Founded20172023

Identical on both: starting price (Free), pricing model (contact-sales), free tier (Yes), platforms (Cloud, Self-hosted), 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
  • Tensor support
  • Real-time search
  • Cloud-native
  • Open-source compatible

Only in Vespa

  • Vector search
  • Text and structured search
  • Machine-learned ranking
  • Real-time serving
  • Automatic scaling
  • Open-source

Both cover

  • SQL interface

What people use each for

The jobs each tool is most often brought in to do.

Zilliz

  • Build retrieval-augmented generation (RAG) systemsnot Vespa
  • Implement semantic search over documentsnot Vespa
  • Create multimodal search with text and imagesnot Vespa
  • Power recommendation engines with vector similaritynot Vespa
  • Enable similarity search on user embeddingsnot Vespa

Vespa

  • Build RAG systems with semantic search over documentsnot Zilliz
  • Power e-commerce search with ML rankingnot Zilliz
  • Create recommendation engines for personalizationnot Zilliz
  • Implement real-time search for news or feedsnot Zilliz
  • Deploy private semantic search over sensitive datanot 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

Vespa

  • Pricing not publicly listed, requires contacting sales
  • Steeper learning curve compared to simpler search tools
  • Operational complexity for self-hosted deployments
  • Smaller ecosystem compared to cloud-native alternatives

Pricing, plan by plan

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Vespa

Free

No published plan breakdown. See the Vespa 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.
Zilliz review

Choose Vespa if

  • You need vector search.
  • You want to start without paying.
  • You work on Cloud, Self-hosted.
  • You also want text and structured search.
Vespa review

Questions people ask

Is Zilliz or Vespa better?
Neither clearly leads. Zilliz starts at Free and Vespa at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Zilliz or Vespa?
Zilliz starts at Free and Vespa at Free.
Does Zilliz or Vespa run on more platforms?
Both run on Cloud, Self-hosted, so platform support will not decide this one for you.
Can I use Zilliz for free?
Both have a free tier, so you can try either at no cost before committing.
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 Vespa is typically brought in for.
What can Zilliz do that Vespa cannot?
Zilliz covers Vector indexing, Distributed architecture, Tensor support, Real-time search. Vespa covers Vector search, Text and structured search, Machine-learned ranking, Real-time serving. Both handle SQL interface.

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.

Source
Vespa: Is Vespa open-source?

Yes, Vespa is open-source under the Apache 2.0 license. The code is available on GitHub, and you can self-host or use the managed cloud service.

Source
Zilliz: 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.

Source
Vespa: What latency can Vespa achieve?

Vespa is designed for sub-100 millisecond latencies with thousands of queries per second, suitable for real-time search and recommendation applications.

Source
Zilliz: Is Milvus open-source?

Yes, Milvus is open-source under the Apache License 2.0 and is part of the LF AI & Data Foundation.

Source
Vespa: Does Vespa support vector search?

Yes, Vespa provides native vector search capabilities alongside text, structured data, and tensor operations for building comprehensive search and AI applications.

Source
Zilliz: 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.

Source
Vespa: What is the pricing model for Vespa Cloud?

Vespa Cloud pricing is not publicly listed and requires contacting their sales team to discuss your specific use case and scale requirements.

Source
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