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Databases · head to head

Vespa vs Zilliz

Vespa logo

Vespa

Databases

Distributed AI search platform for retrieval, ranking, and inference

From
Free
Rated
-
Full reviewWebsite
Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Vespa pricing not publicly listed, requires contacting sales; Zilliz pricing structure not publicly disclosed, requires sales contact
  • They diverge on capability: Vespa covers Vector search, Zilliz covers Vector indexing.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Vespa and Zilliz actually diverge.

Attributes where Vespa and Zilliz differ
AttributeVespaZilliz
Founded20232017

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 Vespa

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

Only in Zilliz

  • Vector indexing
  • Distributed architecture
  • Tensor support
  • Real-time search
  • Cloud-native
  • Open-source compatible

Both cover

  • SQL interface

What people use each for

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

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

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

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

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

Vespa

Free

No published plan breakdown. See the Vespa review.

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

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

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

Questions people ask

Is Vespa or Zilliz better?
Neither clearly leads. Vespa starts at Free and Zilliz at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Vespa or Zilliz?
Vespa starts at Free and Zilliz at Free.
Does Vespa or Zilliz run on more platforms?
Both run on Cloud, Self-hosted, so platform support will not decide this one for you.
Can I use Vespa for free?
Both have a free tier, so you can try either at no cost before committing.
What is Vespa best used for?
Vespa is most often used for build rag systems with semantic search over documents, power e-commerce search with ml ranking, create recommendation engines for personalization, implement real-time search for news or feeds. Of those, build rag systems with semantic search over documents and power e-commerce search with ml ranking are not what Zilliz is typically brought in for.
What can Vespa do that Zilliz cannot?
Vespa covers Vector search, Text and structured search, Machine-learned ranking, Real-time serving. Zilliz covers Vector indexing, Distributed architecture, Tensor support, Real-time search. Both handle SQL interface.

Answered from the vendors’ own pages

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: 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: 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: 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: 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: 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: 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
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
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