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TigerData vs PlanetScale

A detailed comparison to help you choose between TigerData and PlanetScale.

Quick Verdict

4.2/5

TigerData

0 reviews

4.2/5

PlanetScale

0 reviews

Both TigerData and PlanetScale are equally rated at 4.2/5. TigerData, from the creators of TimescaleDB, is a PostgreSQL cloud platform built for time-series and real-time analytics workloads at large scale, aimed at developers and enterprises. Managed Postgres and MySQL (Vitess) databases with branching and zero-downtime schema changes. No free tier; Postgres starts at $5/month, Vitess at $39/month.

TigerData

TigerData

PostgreSQL-native time-series database for metrics, events, and analytics

PlanetScale

PlanetScale

Serverless MySQL with database branching

Overview
Rating4.2 (0 reviews)4.2 (0 reviews)
Pricing modelfreemiumpaid
Starting priceFrom $30/moFrom $5/mo✓
Best forTeams building observability, IoT/telemetry, financial or real-time analytics platforms who want time-series performance inside standard PostgreSQL and can run the ops model of a managed Postgres service.Teams running MySQL (or Postgres) at scale who want Vitess-grade sharding and safe, reviewable schema migrations without operating the infrastructure themselves
Specifications (entry plan)
CPU cores—0 vCPU
RAM—1 GB
Storage—10 GB
Bandwidth—0 TB/mo
SLA uptime99.9%99.99%✓
Data-center count1719✓
€/GB RAM/mo—€5.00
Features
IPv6
DDoS protection
Automated backups
Snapshots✓
Managed option
Bare metal
GPU available
S3-compatible
Hourly billing✓
Free tier✓
Data-center locations
Regions
13 AWS regions + 4 Azure regions across North America, Europe, Asia Pacific and South America
12 AWS + 7 GCP regions incl. US, EU, APAC (Tokyo, Mumbai, Singapore, Sydney, Seoul) and South America (Sao Paulo)
Tags
Tags
free tiermanaged optionbackups includedeu datacenterus datacenterapi accessopen source
free tiermanaged optionbackups includedeu datacenterus datacenterapi access
Visit TigerData →Visit PlanetScale →

TigerData

Pros

  • + Full SQL and the PostgreSQL extension ecosystem — hypertables, continuous aggregates and 90%+ compression without a new query language
  • + Published consumption pricing (compute from $30/month, storage $0.177-0.212/GB-month) with hourly metering and no instance-size lock-in
  • + 17 regions across AWS and Azure with EU, US and APAC residency selectable at creation
  • + Reliability productized: multi-AZ HA, PITR up to 14 days, backup retention to 180 days, cross-region restore, public SLA and status page
  • + Open-source TimescaleDB escape hatch — self-hosting stays viable, which keeps pricing honest

Cons

  • - Hourly compute meter bills full hours and forgotten scale-ups at the higher config are expensive
  • - Serious reliability and security features (multi-node HA, 14-day PITR, SOC 2, private endpoints) gated behind Scale or Enterprise
  • - PostgreSQL and time-series concepts (chunks, compression/retention policies) assumed — not a zero-ops database for non-database teams
  • - Effective storage price assumes 5x compression; actual ratios are workload-dependent
  • - Aiven-partnered legacy MST product carries a different (99.99%) SLA — easy to confuse with Tiger Cloud
View full TigerDatareview →

PlanetScale

Pros

  • + Built by the Vitess maintainers — branching, deploy requests and online schema migrations are first-class
  • + Three engines (Postgres, Vitess, sharded Neki) plus Metal local-NVMe tiers for I/O-heavy workloads
  • + Unusually transparent pricing: published SKU tables and a SQL-queryable per-region pricing endpoint
  • + Three-zone HA with automatic failover and a 99.99% SLA on HA configurations
  • + 19 AWS/GCP regions plus a bring-your-own-cloud Managed option for data-residency needs

Cons

  • - No free tier or trial — the Hobby plan was retired in April 2024
  • - Metered extras (storage, egress, backups, branch hours) make the real bill higher than sticker prices
  • - Vitess constraints: no foreign keys in the classic model and a real sharding learning curve
  • - Single-node $5 entry is not highly available; production HA starts at $15/month before usage
View full PlanetScalereview →

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