Softwr

Databases · head to head

Meilisearch vs PlanetScale

Meilisearch logo

Meilisearch

Databases

Fast open-source search engine built for typo tolerance

From
Free
Rated
-
Full reviewWebsite
PlanetScale logo

PlanetScale

Databases

The MySQL-compatible serverless 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; PlanetScale pricing varies significantly across 17+ AWS and GCP regions
  • They diverge on capability: Meilisearch covers Typo tolerance, PlanetScale covers Database Branching.

Where they differ

Only the attributes on which Meilisearch and PlanetScale actually diverge.

Attributes where Meilisearch and PlanetScale differ
AttributeMeilisearchPlanetScale
Pricing modelOpen source, no licence fee; managed cloud billed separatelyusage-based
PlatformsLinux, macOS, Windows, Docker, Self-hostedCloud-hosted (AWS, GCP, Azure)
FoundedUnknown2018

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 PlanetScale

  • Database Branching
  • Non-blocking Schema Changes
  • Insights
  • Horizontal Scaling
  • Connection Pooling
  • Query Caching
  • Automatic Backups
  • Global Replication

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

PlanetScale

  • MySQL-compatible applications requiring horizontal scalingnot Meilisearch
  • PostgreSQL deployments with custom cluster configurationsnot Meilisearch
  • Multi-region database deployments on AWS or GCPnot Meilisearch
  • Applications requiring transparent sharding via Vitessnot 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

PlanetScale

  • Pricing varies significantly across 17+ AWS and GCP regions
  • Additional costs for EBS storage beyond base tier, backup storage, and egress
  • Dedicated PgBouncer and replicas incur separate charges
  • Metal tier pricing increases sharply with larger configurations

Pricing, plan by plan

Meilisearch

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

PlanetScale

Free
  • Postgres EBS Single-Node (ARM64 PS-5)$5/month
    • 512 MiB RAM
    • Single-node configuration
    • EBS storage included
  • Postgres EBS HA (ARM64 PS-5)$15/month
    • 512 MiB RAM
    • 3-node high-availability setup
    • 1 primary + 2 replicas
  • Postgres Metal (M-10)$50/month
    • 1/8 vCPU, 1 GiB RAM
    • 3-node HA configuration
    • 10 GiB NVMe storage included
  • Vitess Non-Metal 3-Node$39/month
    • Sharding-capable database
    • x86-64 architecture
    • 3-node configuration

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 PlanetScale if

  • You need database branching.
  • You want to start without paying.
  • You work on Cloud-hosted (AWS, GCP, Azure).
  • You also want non-blocking schema changes.
PlanetScale review

Questions people ask

Is Meilisearch or PlanetScale better?
Neither clearly leads. Meilisearch starts at Free and PlanetScale at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Meilisearch or PlanetScale?
Meilisearch starts at Free and PlanetScale at Free.
Does Meilisearch or PlanetScale run on more platforms?
Meilisearch runs on Linux, macOS, Windows, Docker, Self-hosted. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
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 PlanetScale is typically brought in for.
What can Meilisearch do that PlanetScale cannot?
Meilisearch covers Typo tolerance, Search as you type, Faceted search, Simple API. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling.

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.

PlanetScale: How much does a PlanetScale Postgres database cost per month?

PlanetScale Postgres pricing starts at $5/month for single-node ARM64 configurations with 512 MiB RAM and $15/month for the same specs in high-availability mode with 1 primary and 2 replicas. Metal tier starts at $50/month for M-10 configuration (1/8 vCPU, 1 GiB RAM). Exact pricing depends on cluster size, node architecture (ARM64 vs x86-64), storage configuration, and selected AWS/GCP region.

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.

PlanetScale: Is there a free tier for PlanetScale?

PlanetScale offers a free tier for development and testing workloads. After free tier limits are reached, usage-based pricing applies starting at $5/month for the smallest Postgres single-node configuration, with costs scaling based on cluster size, compute, storage, and additional features like dedicated PgBouncer or replicas.

Source
Meilisearch: Does it handle typos automatically?

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

PlanetScale: What is the difference between PlanetScale ARM64 and x86-64 pricing?

ARM64 instances cost significantly less than x86-64 equivalents. For example, a Postgres EBS HA cluster with 512 MiB RAM costs $15/month on ARM64 but $39/month on x86-64. This pricing difference extends across all cluster sizes, with larger x86-64 configurations reaching up to $5,599/month compared to ARM64 alternatives.

Source
PlanetScale: What is included in a PlanetScale cluster price versus additional costs?

The advertised cluster price covers the base compute and configured storage. Additional charges apply for EBS storage beyond the base allocation, backup storage, data egress, optional dedicated PgBouncer connections, and replicas beyond the base high-availability configuration. Regional pricing varies across 17+ AWS and GCP zones.

Source
Share

Related pages

More on Meilisearch

More on PlanetScale

Keep looking

Other head to heads