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Databases · head to head

PlanetScale vs Typesense

PlanetScale logo

PlanetScale

Databases

The MySQL-compatible serverless database

From
Free
Rated
-
Full reviewWebsite
Typesense logo

Typesense

Databases

Open-source typo-tolerant search engine as an Algolia alternative

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: PlanetScale pricing varies significantly across 17+ AWS and GCP regions; Typesense holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • They diverge on capability: PlanetScale covers Database Branching, Typesense covers In-memory index.

Where they differ

Only the attributes on which PlanetScale and Typesense actually diverge.

Attributes where PlanetScale and Typesense differ
AttributePlanetScaleTypesense
Pricing modelusage-basedOpen source, no licence fee; managed cloud billed separately
PlatformsCloud-hosted (AWS, GCP, Azure)Linux, macOS, Docker, Self-hosted
Founded2018Unknown

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 PlanetScale

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

Only in Typesense

  • In-memory index
  • Typo tolerance
  • Faceting and filtering
  • Vector search

What people use each for

The jobs each tool is most often brought in to do.

PlanetScale

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

Typesense

  • Replacing Algolia when per-search pricing outgrows the valuenot PlanetScale
  • Instant search over a product catalogue or documentation sitenot PlanetScale
  • Hybrid keyword and vector search without running two systemsnot PlanetScale

Where each one falls short

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

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

Typesense

  • Holding the index in memory caps dataset size by available RAM, which becomes expensive at scale
  • Narrower than Elasticsearch by design: no log analytics or complex aggregation pipelines
  • Smaller ecosystem and community than Algolia or Elasticsearch, so fewer integrations exist off the shelf

Pricing, plan by plan

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

Typesense

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

Which should you pick?

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

Choose Typesense if

  • You need in-memory index.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want typo tolerance.
Typesense review

Questions people ask

Is PlanetScale or Typesense better?
Neither clearly leads. PlanetScale starts at Free and Typesense at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, PlanetScale or Typesense?
PlanetScale starts at Free and Typesense at Free.
Does PlanetScale or Typesense run on more platforms?
PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). Typesense runs on Linux, macOS, Docker, Self-hosted.
Can I use PlanetScale for free?
Both have a free tier, so you can try either at no cost before committing.
What is PlanetScale best used for?
PlanetScale is most often used for mysql-compatible applications requiring horizontal scaling, postgresql deployments with custom cluster configurations, multi-region database deployments on aws or gcp, applications requiring transparent sharding via vitess. Of those, mysql-compatible applications requiring horizontal scaling and postgresql deployments with custom cluster configurations are not what Typesense is typically brought in for.
What can PlanetScale do that Typesense cannot?
PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Typesense covers In-memory index, Typo tolerance, Faceting and filtering, Vector search.

Answered from the vendors’ own pages

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
Typesense: Is Typesense free?

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

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
Typesense: Why choose Typesense over Algolia?

Cost and control. Algolia charges per search and per record; Typesense can be self-hosted with no per-query fee, at the cost of running it yourself.

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
Typesense: Does Typesense support vector search?

Yes, including hybrid search combining keyword and semantic matching in one query.

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
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