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Databases · head to head

Meilisearch vs Zilliz

Meilisearch logo

Meilisearch

Databases

Fast open-source search engine built for typo tolerance

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: Meilisearch not built for log analytics or aggregation-heavy workloads, which is where Elasticsearch remains the answer; Zilliz pricing structure not publicly disclosed, requires sales contact
  • They diverge on capability: Meilisearch covers Typo tolerance, Zilliz covers Vector indexing.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Meilisearch and Zilliz actually diverge.

Attributes where Meilisearch and Zilliz differ
AttributeMeilisearchZilliz
Pricing modelOpen source, no licence fee; managed cloud billed separatelycontact-sales
PlatformsLinux, macOS, Windows, Docker, Self-hostedCloud, Self-hosted
FoundedUnknown2017

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 Meilisearch

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

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.

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

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

Where each one falls short

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

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

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

Meilisearch

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

Zilliz

Free

No published plan breakdown. See the Zilliz review.

Which should you pick?

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

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 Meilisearch or Zilliz better?
Neither clearly leads. Meilisearch 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, Meilisearch or Zilliz?
Meilisearch starts at Free and Zilliz at Free.
Does Meilisearch or Zilliz run on more platforms?
Meilisearch runs on Linux, macOS, Windows, Docker, Self-hosted. Zilliz runs on Cloud, Self-hosted.
Can I use Meilisearch for free?
Both have a free tier, so you can try either at no cost before committing.
What is Meilisearch best used for?
Meilisearch is most often used for adding product or content search to an application without running elasticsearch, search-as-you-type interfaces where latency is visible to the user, replacing sql like queries that cannot handle typos or ranking. Of those, adding product or content search to an application without running elasticsearch and search-as-you-type interfaces where latency is visible to the user are not what Zilliz is typically brought in for.
What can Meilisearch do that Zilliz cannot?
Meilisearch covers Typo tolerance, Search as you type, Faceted search, Simple API. Zilliz covers Vector indexing, Distributed architecture, SQL interface, Tensor support.

Answered from the vendors’ own pages

Meilisearch: Is Meilisearch free?

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

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: 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: 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: Does it handle typos automatically?

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

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
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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