Databases · head to head
PlanetScale vs Presto

Presto
Databases
The Meta-lineage distributed SQL query engine, distinct from the Trino fork
- From
- Free
- Rated
- -
The short version
- Each has a real cost: PlanetScale pricing varies significantly across 17+ AWS and GCP regions; Presto the original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
- They diverge on capability: PlanetScale covers Database Branching, Presto covers Federated querying.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which PlanetScale and Presto actually diverge.
| Attribute | PlanetScale | Presto |
|---|---|---|
| Pricing model | usage-based | Open source, no licence fee |
| Platforms | Cloud-hosted (AWS, GCP, Azure) | Linux, Docker, Kubernetes |
| Founded | 2018 | Unknown |
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 Presto
- Federated querying
- In-memory execution
- Open table format support
- Presto C++ workers
- ANSI SQL
- Pluggable connectors
What people use each for
The jobs each tool is most often brought in to do.
PlanetScale
- MySQL-compatible applications requiring horizontal scalingnot Presto
- PostgreSQL deployments with custom cluster configurationsnot Presto
- Multi-region database deployments on AWS or GCPnot Presto
- Applications requiring transparent sharding via Vitessnot Presto
Presto
- An existing PrestoDB estate that needs continued upgrades rather than a migration to Trinonot PlanetScale
- A team buying IBM watsonx.data, where Presto is the underlying query enginenot PlanetScale
- Joining a Hive or Iceberg lake to an operational PostgreSQL database in one query without an ETL stepnot PlanetScale
- Very large scale interactive SQL where the Meta-tested branch is a specific requirementnot 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
Presto
- The original creators and most of the active contributor base left for Trino in 2020, so Presto has the smaller community, fewer connectors and slower feature delivery of the two branches.
- Documentation, tutorials and Stack Overflow answers for the two projects are frequently mixed up, and a solution written for Trino often does not apply, which costs real debugging time.
- It is a query engine with no storage of its own, so query performance is dictated by your file layout, partitioning and statistics, and a badly organised lake makes Presto look slow.
- Memory-bound execution means a single large join can fail the whole query rather than spilling gracefully, and tuning cluster memory settings is a persistent operational chore.
- Commercial support has consolidated into IBM since the Ahana acquisition, so the independent vendor market that once existed around Presto is largely gone.
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
Presto
Free- PrestoFree
- Apache 2.0 licence
- Presto Foundation governance under the Linux Foundation
- No node or query 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.
Choose Presto if
- You need federated querying.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes.
- You also want in-memory execution.
Questions people ask
- Is PlanetScale or Presto better?
- Neither clearly leads. PlanetScale starts at Free and Presto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, PlanetScale or Presto?
- PlanetScale starts at Free and Presto at Free.
- Does PlanetScale or Presto run on more platforms?
- PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). Presto runs on Linux, Docker, Kubernetes.
- 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 Presto is typically brought in for.
- What can PlanetScale do that Presto cannot?
- PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Presto covers Federated querying, In-memory execution, Open table format support, Presto C++ workers.
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.
SourcePresto: Is this Presto or Trino?
This is PrestoDB, the branch that stayed at Facebook and moved to the Linux Foundation. Trino is the 2020 fork by the original creators.
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.
SourcePresto: Which should I choose for a new project?
Trino, in most cases. It has the larger community, more connectors and more commercial options.
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.
SourcePresto: Who maintains Presto now?
Principally Meta, Uber and IBM, which acquired the Presto vendor Ahana in 2023.
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.
SourcePresto: Is it still actively released?
Yes, releases continue on a regular cadence under the Presto Foundation.
Related pages
More on PlanetScale
Other head to heads
- PlanetScale vs Amazon Aurora
- PlanetScale vs Nile
- PlanetScale vs Airtable
- PlanetScale vs Cockroach Labs
- PlanetScale vs PostgreSQL
- PlanetScale vs BigQuery
- PlanetScale vs MotherDuck
- PlanetScale vs FaunaDB
- PlanetScale vs DataGrip
- PlanetScale vs TiDB
- PlanetScale vs Readyset
- PlanetScale vs IBM Db2
- PlanetScale vs Instaclustr
- PlanetScale vs Knack
- PlanetScale vs LanceDB
- PlanetScale vs Marqo
- PlanetScale vs DynamoDB
- PlanetScale vs ClickHouse
- PlanetScale vs StarRocks
- PlanetScale vs Dremio
- PlanetScale vs DuckDB
- PlanetScale vs MariaDB
- PlanetScale vs Apache Kafka
- PlanetScale vs Meilisearch
- PlanetScale vs Memcached
- PlanetScale vs Typesense
- PlanetScale vs Timeplus
- PlanetScale vs VerneMQ
- PlanetScale vs Dragonfly
- PlanetScale vs Fivetran HVR
- PlanetScale vs Grist
- Presto vs Amazon Aurora
- Presto vs Nile
- Presto vs Airtable
- Presto vs Cockroach Labs
- Presto vs PostgreSQL
- Presto vs BigQuery
- Presto vs MotherDuck
- Presto vs FaunaDB
- Presto vs DataGrip
- Presto vs TiDB
- Presto vs Readyset
- Presto vs IBM Db2
- Presto vs Instaclustr
- Presto vs Knack
- Presto vs LanceDB
- Presto vs Marqo
- Presto vs DynamoDB
- Presto vs ClickHouse
- Presto vs StarRocks
- Presto vs Dremio
- Presto vs DuckDB
- Presto vs MariaDB
- Presto vs Apache Kafka
- Presto vs Meilisearch
- Presto vs Memcached
- Presto vs Typesense
- Presto vs Timeplus
- Presto vs VerneMQ
- Presto vs Dragonfly
- Presto vs Fivetran HVR
- Presto vs Grist

