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Databases · head to head

Meilisearch vs Elasticsearch

Meilisearch logo

Meilisearch

Databases

Fast open-source search engine built for typo tolerance

From
Free
Rated
-
Elasticsearch logo

Elasticsearch

Databases

The heart of the Elastic Stack for search and analytics

From
Free
Rated
-

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; Elasticsearch eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • They diverge on capability: Meilisearch covers Typo tolerance, Elasticsearch covers Full-text Search.

Where they differ

Only the attributes on which Meilisearch and Elasticsearch actually diverge.

Attributes where Meilisearch and Elasticsearch differ
AttributeMeilisearchElasticsearch
Pricing modelOpen source, no licence fee; managed cloud billed separatelyUnknown
PlatformsLinux, macOS, Windows, Docker, Self-hostedLinux, Windows, macOS, Docker, Kubernetes
FoundedUnknown2010

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 Elasticsearch

  • Full-text Search
  • Real-time Analytics
  • Distributed Architecture
  • RESTful API
  • Schema-free JSON
  • Aggregations
  • Machine Learning
  • Kibana

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

Elasticsearch

  • Real-time applicationsnot Meilisearch
  • Content managementnot Meilisearch
  • User profilesnot Meilisearch
  • Mobile backendsnot Meilisearch
  • Cachingnot 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

Elasticsearch

  • Eventual consistency model with 1-second default refresh interval, not suitable for real-time transactional requirements
  • No support for ACID transactions or rollbacks; updates delete and re-insert documents
  • JVM-dependent architecture requires careful memory management and monitoring to prevent garbage collection issues at scale

Pricing, plan by plan

Meilisearch

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

Elasticsearch

Free
  • Self-ManagedFree
    • Open source
    • Self-hosted
  • Elasticsearch Cloud$16.4/month
    • Managed service
    • 14-day free trial

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.

Choose Elasticsearch if

  • You need full-text search.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, Docker, Kubernetes.
  • You also want real-time analytics.

Questions people ask

Is Meilisearch or Elasticsearch better?
Neither clearly leads. Meilisearch starts at Free and Elasticsearch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Meilisearch or Elasticsearch?
Meilisearch starts at Free and Elasticsearch at Free.
Does Meilisearch or Elasticsearch run on more platforms?
Meilisearch runs on Linux, macOS, Windows, Docker, Self-hosted. Elasticsearch runs on Linux, Windows, macOS, Docker, Kubernetes.
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 Elasticsearch is typically brought in for.
What can Meilisearch do that Elasticsearch cannot?
Meilisearch covers Typo tolerance, Search as you type, Faceted search, Simple API. Elasticsearch covers Full-text Search, Real-time Analytics, Distributed Architecture, RESTful API.

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.

Elasticsearch: Is Elasticsearch free?

Yes, Elasticsearch can be deployed as free and open-source software for self-managed installations. Elastic Cloud managed service starts at $16.40 per month, with a free 14-day trial available.

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.

Elasticsearch: Can I use Elasticsearch without Kibana?

Yes, Elasticsearch is a search engine independent of Kibana. Kibana is a visualization and analytics tool that works with Elasticsearch but is optional. You can use the Elasticsearch API directly for searching.

Source
Meilisearch: Does it handle typos automatically?

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

Elasticsearch: Does Elasticsearch support real-time indexing?

Elasticsearch indexes data with a refresh interval, typically 1 second. Data becomes searchable after the refresh cycle, making it near-real-time but not instantaneous. This can be configured but impacts performance.

Source
Elasticsearch: What are Elasticsearch's scaling limitations?

Elasticsearch requires careful operational management at scale, including shard balancing, heap sizing, and monitoring. Large clusters can suffer from garbage collection issues and become expensive to operate.

Source
Elasticsearch: Does Elasticsearch support transactions and rollbacks?

No, Elasticsearch does not support ACID transactions or rollbacks. Updates are expensive operations that delete and re-insert documents, making it unsuitable for transactional workloads.

Source
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