Databases · head to head
PlanetScale vs TimescaleDB

TimescaleDB
Databases
Time-series database built on PostgreSQL for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: PlanetScale pricing varies significantly across 17+ AWS and GCP regions; 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.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which PlanetScale and TimescaleDB actually diverge.
| Attribute | PlanetScale | TimescaleDB |
|---|---|---|
| Pricing model | usage-based | Unknown |
| Platforms | Cloud-hosted (AWS, GCP, Azure) | Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure) |
| Founded | 2018 | 2012 |
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 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-compatible applications requiring horizontal scalingnot TimescaleDB
- PostgreSQL deployments with custom cluster configurationsnot TimescaleDB
- Multi-region database deployments on AWS or GCPnot TimescaleDB
- Applications requiring transparent sharding via Vitessnot 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
- 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
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
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
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 want to start without paying.
- 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 Free 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?
- PlanetScale starts at Free and TimescaleDB at Free.
- 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 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 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
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.
SourceTimescaleDB: 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.
SourcePlanetScale: 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.
SourceTimescaleDB: 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.
SourcePlanetScale: 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.
SourceTimescaleDB: 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.
SourcePlanetScale: 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.
SourceTimescaleDB: 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.
SourceTimescaleDB: 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.
SourceRelated pages
More on PlanetScale
More on TimescaleDB
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 QuestDB
- PlanetScale vs ClickHouse
- PlanetScale vs YugabyteDB
- PlanetScale vs Apache Druid
- PlanetScale vs SingleStore
- PlanetScale vs DuckDB
- PlanetScale vs Elasticsearch
- PlanetScale vs Dgraph
- PlanetScale vs Dragonfly
- PlanetScale vs Dremio
- PlanetScale vs Fivetran HVR
- PlanetScale vs Grist
- PlanetScale vs Apache Pinot
- PlanetScale vs Apache Flink
- TimescaleDB vs Amazon Aurora
- TimescaleDB vs Nile
- TimescaleDB vs Airtable
- TimescaleDB vs Cockroach Labs
- TimescaleDB vs PostgreSQL
- TimescaleDB vs BigQuery
- TimescaleDB vs MotherDuck
- TimescaleDB vs FaunaDB
- TimescaleDB vs DataGrip
- TimescaleDB vs TiDB
- TimescaleDB vs Readyset
- TimescaleDB vs IBM Db2
- TimescaleDB vs Instaclustr
- TimescaleDB vs Knack
- TimescaleDB vs LanceDB
- TimescaleDB vs Marqo
- TimescaleDB vs DynamoDB
- TimescaleDB vs QuestDB
- TimescaleDB vs ClickHouse
- TimescaleDB vs YugabyteDB
- TimescaleDB vs Apache Druid
- TimescaleDB vs SingleStore
- TimescaleDB vs DuckDB
- TimescaleDB vs Elasticsearch
- TimescaleDB vs Dgraph
- TimescaleDB vs Dragonfly
- TimescaleDB vs Dremio
- TimescaleDB vs Fivetran HVR
- TimescaleDB vs Grist
- TimescaleDB vs Apache Pinot
- TimescaleDB vs Apache Flink

