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Databases · head to head

PlanetScale vs Trino

PlanetScale logo

PlanetScale

Databases

The MySQL-compatible serverless database

From
Free
Free plan
Yes
Visit PlanetScaleFull review
Trino logo

Trino

Databases

A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.

From
Free
Free plan
Yes
Visit TrinoFull review

The short version

  • PlanetScale is a MySQL-compatible serverless database platform.
  • Trino is free; PlanetScale starts at $15/mo.
  • Only PlanetScale lists database Branching; only Trino lists federated querying.
  • Where PlanetScale falls short: pricing varies significantly across 17+ AWS and GCP regions.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which PlanetScale and Trino actually diverge.

Attributes where PlanetScale and Trino differ
AttributePlanetScaleTrino
Pricing modelUsage-basedOpen-source

Identical on both: starting price (Free), free tier (Yes), platforms (Web), category (Databases).

Not yet recorded: founded for Trino.

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 Trino

  • Federated querying
  • Connector architecture
  • Predicate and aggregation pushdown
  • Massively parallel execution
  • Fault-tolerant execution
  • Resource groups
  • Iceberg and Delta table support
  • Standard client protocols

What people use each for

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

PlanetScale

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

Trino

  • Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot PlanetScale
  • Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot PlanetScale
  • Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot PlanetScale
  • Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot 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

Trino

  • Trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve
  • Federated queries pull data out of the systems they touch, so a join between a lake table and a production Postgres can put a full table scan onto an OLTP database that other applications depend on, and the person who wrote the query will not see the incident it causes
  • Releases come roughly every one to two weeks with no community long-term support line, and deprecations arrive quickly, so you either dedicate someone to keeping current or you buy Starburst Enterprise for a supported long-term version
  • It is memory-based and disk spilling was deprecated in favour of fault-tolerant execution, so a query exceeding cluster memory fails outright rather than degrading; enabling fault-tolerant execution requires an external exchange store on object storage and makes queries measurably slower
  • It is a query engine and not a warehouse: there is no built-in job scheduling, no incremental materialised view maintenance and no transformation framework, so producing curated tables still needs dbt or an equivalent layer that somebody has to own
  • The 2020 fork split the ecosystem, so documentation, connectors, Stack Overflow answers and vendor material written before then describe PrestoDB, which is now a different project with different behaviour, and following the wrong one wastes real time

Pricing, plan by plan

PlanetScale

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

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose PlanetScale if

  • You need database branching.
  • You want to start without paying.
  • You also want non-blocking schema changes.
PlanetScale review

Choose Trino if

  • You need federated querying.
  • You want to start without paying.
  • You also want connector architecture.
Trino review

Questions people ask

Is PlanetScale or Trino better?
Neither clearly leads. PlanetScale starts at Free and Trino at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, PlanetScale or Trino?
PlanetScale starts at Free and Trino at Free.
Does PlanetScale or Trino run on more platforms?
Both run on Web, so platform support will not decide this one for you.
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 Trino is typically brought in for.
What can PlanetScale do that Trino cannot?
PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

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
Trino: What is the difference between Trino and Presto?

They share an origin. The original creators left Meta and renamed their fork from PrestoSQL to Trino in December 2020; PrestoDB continues separately under the Linux Foundation. They have diverged in features, connectors and SQL behaviour, so material written for one may not apply to the other.

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
Trino: Does Trino replace my data warehouse?

Not on its own. It is compute without storage, scheduling or transformation. Paired with Iceberg or Delta on object storage and something like dbt for modelling it can serve as a lakehouse; used alone it is a query layer over what you already have.

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
Trino: Why is my federated query slow?

Usually because a connector could not push a filter or aggregation down, so Trino is pulling whole tables across the network to join them itself. The fix is usually better source-side partitioning or statistics, or ingesting that source rather than federating it.

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
Trino: What happens when a query runs out of memory?

It fails. Disk spilling was deprecated in favour of fault-tolerant execution, which checkpoints to an external exchange store such as S3 and lets long queries survive memory pressure and worker loss, at the cost of noticeably slower execution.

Trino: Is there commercial support?

Yes, from Starburst, which offers Starburst Enterprise with long-term supported releases and Starburst Galaxy as a managed service. The open source project itself has no long-term support line.

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