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Databases · head to head

Meilisearch vs Weaviate

Meilisearch logo

Meilisearch

Databases

Fast open-source search engine built for typo tolerance

From
Free
Rated
-
Full reviewWebsite
Weaviate logo

Weaviate

Machine Learning

Open-source vector database

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; Weaviate the free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • They diverge on capability: Meilisearch covers Typo tolerance, Weaviate covers Vector and keyword search.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Meilisearch and Weaviate actually diverge.

Attributes where Meilisearch and Weaviate differ
AttributeMeilisearchWeaviate
Pricing modelOpen source, no licence fee; managed cloud billed separatelyfreemium
PlatformsLinux, macOS, Windows, Docker, Self-hostedLinux, Mac, Windows, Web
CategoryDatabasesMachine Learning
FoundedUnknown2019

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Weaviate

  • Vector and keyword search
  • Built-in vectorizers
  • GraphQL API
  • Multi-tenancy
  • Hybrid search
  • OpenAI
  • Hugging Face
  • Cohere

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 Weaviate
  • Search-as-you-type interfaces where latency is visible to the usernot Weaviate
  • Replacing SQL LIKE queries that cannot handle typos or rankingnot Weaviate

Weaviate

  • Running a vector database for semantic and hybrid searchnot Meilisearch
  • Generating and storing embeddings alongside the objects they describenot 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

Weaviate

  • The free tier caps at 100,000 objects, 1 GB of memory and a single collection
  • Billing is per million vector dimensions rather than per record, so wider embeddings cost proportionally more for the same object count
  • Premium is a prepaid contract starting at $400 a month rather than pay as you go
  • Storage rates do not fall consistently with tier, and Premium Dedicated is $0.1505 per GiB against $0.12 on the cheaper Flex plan
  • The Query Agent is metered separately, free to 1,000 requests a month and $30 a month plus overage beyond

Pricing, plan by plan

Meilisearch

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

Weaviate

Free
  • Open SourceFree
    • Full features
    • Self-hosted
  • ServerlessFree
    • Managed service
    • Auto-scaling

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 Weaviate if

  • You need vector and keyword search.
  • You want to start without paying.
  • You work on Linux, Mac, Windows, Web.
  • You also want built-in vectorizers.
Weaviate review

Questions people ask

Is Meilisearch or Weaviate better?
Neither clearly leads. Meilisearch starts at Free and Weaviate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Meilisearch or Weaviate?
Meilisearch starts at Free and Weaviate at Free.
Does Meilisearch or Weaviate run on more platforms?
Meilisearch runs on Linux, macOS, Windows, Docker, Self-hosted. Weaviate runs on Linux, Mac, Windows, Web.
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 Weaviate is typically brought in for.
What can Meilisearch do that Weaviate cannot?
Meilisearch covers Typo tolerance, Search as you type, Faceted search, Simple API. Weaviate covers Vector and keyword search, Built-in vectorizers, GraphQL API, Multi-tenancy.

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.

Weaviate: What pricing options does Weaviate offer?

Weaviate provides a free tier with usage-based pricing, plus enterprise options. Visit the pricing page for detailed information on plans.

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.

Weaviate: Does Weaviate offer customer support?

Yes, support is included with Weaviate's cloud offerings. Enterprise customers receive first-class support from their global team of experts.

Source
Meilisearch: Does it handle typos automatically?

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

Weaviate: Can I deploy Weaviate on my own infrastructure?

Yes. Weaviate is open source and deployment-agnostic. You can run it in your own cloud environment or use their managed cloud service.

Source
Weaviate: What data security features does Weaviate provide?

Weaviate includes security & governance, RBAC, SOC 2 and HIPAA compliance, along with multi-tenancy and high availability for enterprise requirements.

Source
Weaviate: How do I get started with Weaviate?

Sign up for their cloud tier, create your first dataset, connect an LLM, and build your AI app. Documentation and quickstart guides are available for Python, Go, TypeScript, and JavaScript.

Source
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