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Databases · head to head

Zilliz vs Meilisearch

Zilliz logo

Zilliz

Databases

Managed vector database and vector lakebase for AI applications

From
Free
Rated
-
Full reviewWebsite
Meilisearch logo

Meilisearch

Databases

Fast open-source search engine built for typo tolerance

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Zilliz pricing structure not publicly disclosed, requires sales contact; Meilisearch not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
  • They diverge on capability: Zilliz covers Vector indexing, Meilisearch covers Typo tolerance.

Where they differ

Only the attributes on which Zilliz and Meilisearch actually diverge.

Attributes where Zilliz and Meilisearch differ
AttributeZillizMeilisearch
Pricing modelcontact-salesOpen source, no licence fee; managed cloud billed separately
PlatformsCloud, Self-hostedLinux, macOS, Windows, Docker, Self-hosted
Founded2017Unknown

Identical on both: starting price (Free), free tier (Yes), 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 Meilisearch

  • Typo tolerance
  • Search as you type
  • Faceted search
  • Simple API

What people use each for

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

Zilliz

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

Meilisearch

  • Adding product or content search to an application without running Elasticsearchnot Zilliz
  • Search-as-you-type interfaces where latency is visible to the usernot Zilliz
  • Replacing SQL LIKE queries that cannot handle typos or rankingnot 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

Meilisearch

  • Not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer
  • Scaling across many nodes is less mature than the older engines it competes with
  • Memory use grows with index size, and large datasets need real capacity planning

Pricing, plan by plan

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Meilisearch

Free
  • MeilisearchFree
    • Full functionality
    • Self-hosted
    • No usage limits

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 Meilisearch if

  • You need typo tolerance.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Self-hosted.
  • You also want search as you type.
Meilisearch review

Questions people ask

Is Zilliz or Meilisearch better?
Neither clearly leads. Zilliz starts at Free and Meilisearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Zilliz or Meilisearch?
Zilliz starts at Free and Meilisearch at Free.
Does Zilliz or Meilisearch run on more platforms?
Zilliz runs on Cloud, Self-hosted. Meilisearch runs on Linux, macOS, Windows, Docker, Self-hosted.
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 Meilisearch is typically brought in for.
What can Zilliz do that Meilisearch cannot?
Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support. Meilisearch covers Typo tolerance, Search as you type, Faceted search, Simple API.

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
Meilisearch: Is Meilisearch free?

The engine is open source and free to self-host. Meilisearch Cloud is a paid managed service.

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
Meilisearch: Meilisearch or Elasticsearch?

Meilisearch is far simpler for application search and works well by default. Elasticsearch is the choice when you also need log analytics and heavy aggregations.

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
Meilisearch: Does it handle typos automatically?

Yes. Typo tolerance is on by default rather than something you configure.

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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