Softwr

Software · head to head

PlanetScale vs TimescaleDB

PlanetScale logo

PlanetScale

Software

The MySQL-compatible serverless database

From
$15/month
Rated
-
TimescaleDB logo

TimescaleDB

Software

Time-series database built on PostgreSQL for real-time analytics

From
Free
Rated
-

The short version

  • Only TimescaleDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: PlanetScale eBS High Availability requires 3-node configuration with replication overhead; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: PlanetScale covers Database Branching, TimescaleDB covers Time-series Optimization.

Where they differ

Only the attributes on which PlanetScale and TimescaleDB actually diverge.

Attributes where PlanetScale and TimescaleDB differ
AttributePlanetScaleTimescaleDB
Starting price$15/monthFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsCloud-hosted (AWS, GCP, Azure)Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
Founded20182012

Identical on both: user rating (Not yet rated), category (Unknown).

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 TimescaleDB

  • Time-series Optimization
  • PostgreSQL Extension
  • Automatic Partitioning
  • Continuous Aggregates
  • Native Compression
  • Full SQL Support
  • Real-time Analytics
  • PostgreSQL

Both cover

  • Web support

What people use each for

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

PlanetScale

  • MySQL database hosting with automatic failover and replicationnot TimescaleDB
  • Vitess-based sharding for horizontal scaling across large datasetsnot TimescaleDB
  • Cloud provider flexibility across AWS, GCP, Azure with 60+ regionsnot TimescaleDB
  • Cost-effective database clusters using ARM64 architecture optionsnot TimescaleDB

TimescaleDB

  • Monitoringnot PlanetScale
  • IoT datanot PlanetScale
  • Financial datanot PlanetScale
  • Log analyticsnot PlanetScale
  • Observabilitynot PlanetScale

Where each one falls short

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

PlanetScale

  • EBS High Availability requires 3-node configuration with replication overhead
  • EBS Non-HA single-node option lacks redundancy and automatic failover
  • Pricing varies by cloud provider and region, requiring queries for specific rates
  • ARM64 architecture only available on EBS tier, not Metal deployments

TimescaleDB

  • Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
  • Bloom filter indexes on compressed columns can return incorrect query results before upgrade
  • PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later

Pricing, plan by plan

PlanetScale

$15/month

No published plan breakdown. See the PlanetScale review.

TimescaleDB

Free
  • Open SourceFree
    • Self-hosted TimescaleDB
    • MIT-licensed core
    • Full PostgreSQL compatibility
  • Scale Plan (Cloud)$36/month
    • Compute and storage charges
    • Multi-node HA
    • Unlimited VPCs

Which should you pick?

Choose PlanetScale if

  • You need database branching.
  • You work on Cloud-hosted (AWS, GCP, Azure).
  • You also want non-blocking schema changes.

Choose TimescaleDB if

  • You need time-series optimization.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
  • You also want postgresql extension.

Questions people ask

Is PlanetScale or TimescaleDB better?
Neither clearly leads. PlanetScale starts at $15/month and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, PlanetScale or TimescaleDB?
TimescaleDB has a free tier; the other does not. Paid plans start at $15/month for PlanetScale and Free for TimescaleDB.
Does PlanetScale or TimescaleDB run on more platforms?
PlanetScale runs on Cloud-hosted (AWS, GCP, Azure). TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use TimescaleDB for free?
Yes. TimescaleDB has a free tier, so you can try it without paying. PlanetScale starts at $15/month.
What is PlanetScale best used for?
PlanetScale is most often used for mysql database hosting with automatic failover and replication, vitess-based sharding for horizontal scaling across large datasets, cloud provider flexibility across aws, gcp, azure with 60+ regions, cost-effective database clusters using arm64 architecture options. Of those, mysql database hosting with automatic failover and replication and vitess-based sharding for horizontal scaling across large datasets are not what TimescaleDB is typically brought in for.
What can PlanetScale do that TimescaleDB cannot?
PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Web support.

Answered from the vendors’ own pages

TimescaleDB: Is TimescaleDB free?

Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.

Source
TimescaleDB: What database does TimescaleDB run on top of?

TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.

Source
TimescaleDB: How much can TimescaleDB compress data?

TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.

Source
TimescaleDB: Does TimescaleDB require manual partitioning?

No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.

Source
TimescaleDB: What PostgreSQL versions does TimescaleDB support?

As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.

Source

Related pages

Other head to heads