Softwr

Databases · head to head

Meilisearch vs PostgreSQL

Meilisearch logo

Meilisearch

Databases

Fast open-source search engine built for typo tolerance

From
Free
Rated
-
PostgreSQL logo

PostgreSQL

Databases

The world's most advanced open source relational database

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; PostgreSQL requires manual scaling across multiple machines for very large deployments
  • They diverge on capability: Meilisearch covers Typo tolerance, PostgreSQL covers ACID Compliance.

Where they differ

Only the attributes on which Meilisearch and PostgreSQL actually diverge.

Attributes where Meilisearch and PostgreSQL differ
AttributeMeilisearchPostgreSQL
Pricing modelOpen source, no licence fee; managed cloud billed separatelyUnknown
PlatformsLinux, macOS, Windows, Docker, Self-hostedLinux, Windows, macOS, BSD, Unix
FoundedUnknown1996

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 PostgreSQL

  • ACID Compliance
  • JSON/JSONB Support
  • Full-text Search
  • Extensibility
  • Advanced Indexing
  • Partitioning
  • Replication
  • pgAdmin

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

PostgreSQL

  • Transaction processingnot Meilisearch
  • Data storagenot Meilisearch
  • Application backendnot Meilisearch
  • Reportingnot Meilisearch
  • Data analyticsnot 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

PostgreSQL

  • Requires manual scaling across multiple machines for very large deployments
  • Performance tuning requires deep knowledge of database internals
  • No built-in graphical admin interface; command-line tools are primary method

Pricing, plan by plan

Meilisearch

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

PostgreSQL

Free

No published plan breakdown. See the PostgreSQL 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.

Choose PostgreSQL if

  • You need acid compliance.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, BSD, Unix.
  • You also want json/jsonb support.

Questions people ask

Is Meilisearch or PostgreSQL better?
Neither clearly leads. Meilisearch starts at Free and PostgreSQL at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Meilisearch or PostgreSQL?
Meilisearch starts at Free and PostgreSQL at Free.
Does Meilisearch or PostgreSQL run on more platforms?
Meilisearch runs on Linux, macOS, Windows, Docker, Self-hosted. PostgreSQL runs on Linux, Windows, macOS, BSD, Unix.
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 PostgreSQL is typically brought in for.
What can Meilisearch do that PostgreSQL cannot?
Meilisearch covers Typo tolerance, Search as you type, Faceted search, Simple API. PostgreSQL covers ACID Compliance, JSON/JSONB Support, Full-text Search, Extensibility.

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.

PostgreSQL: Is PostgreSQL completely free?

Yes. PostgreSQL is completely free and open source with no licensing fees or restrictions on use.

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.

PostgreSQL: What platforms does PostgreSQL run on?

PostgreSQL runs on all major operating systems including Linux, Windows, macOS, BSD, and commercial Unix variants, and has been proven highly scalable managing terabytes to petabytes of data.

Source
Meilisearch: Does it handle typos automatically?

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

PostgreSQL: What procedural languages are supported?

PostgreSQL supports stored functions and procedures in multiple languages including PL/pgSQL, Perl, Python, Tcl, Java, JavaScript, R, and Rust.

Source
PostgreSQL: What is ACID compliance in PostgreSQL?

PostgreSQL has been ACID-compliant since 2001, ensuring data integrity through atomicity, consistency, isolation, and durability guarantees for all transactions.

Source
PostgreSQL: Does PostgreSQL support JSON data?

Yes. PostgreSQL supports JSON and JSONB data types for storing and querying JSON documents, along with XML and other document formats.

Source
Share

Related pages

Other head to heads