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Databases · head to head

Estuary vs PlanetScale

Estuary logo

Estuary

Databases

Real-time data integration combining streaming, CDC, and batch

From
Free
Rated
-
PlanetScale logo

PlanetScale

Databases

The MySQL-compatible serverless database

From
Free
Rated
-

The short version

  • Each has a real cost: Estuary per-GB pricing adds up quickly for high-volume scenarios; PlanetScale pricing varies significantly across 17+ AWS and GCP regions
  • They diverge on capability: Estuary covers Real-time data delivery, PlanetScale covers Database Branching.

Where they differ

Only the attributes on which Estuary and PlanetScale actually diverge.

Attributes where Estuary and PlanetScale differ
AttributeEstuaryPlanetScale
Pricing modelUsage-based per GB plus per-connector costusage-based
PlatformsCloud, Private Cloud, BYOCCloud-hosted (AWS, GCP, Azure)
Founded20192018

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 Estuary

  • Real-time data delivery
  • Change data capture
  • Batch processing
  • Data transformation
  • Pre-built connectors
  • Multiple deployments
  • RBAC and monitoring

Only in PlanetScale

  • Database Branching
  • Non-blocking Schema Changes
  • Insights
  • Horizontal Scaling
  • Connection Pooling
  • Query Caching
  • Automatic Backups
  • Global Replication

What people use each for

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

Estuary

  • Real-time data replication to data warehousesnot PlanetScale
  • Change data capture from operational databasesnot PlanetScale
  • Feeding analytics and BI systems with fresh datanot PlanetScale
  • Powering real-time AI and ML data pipelinesnot PlanetScale

PlanetScale

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

Where each one falls short

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

Estuary

  • Per-GB pricing adds up quickly for high-volume scenarios
  • No transparent per-connector volume discounts below 6 connectors
  • Limited to data movement; transformation capabilities are basic
  • BYOC and private deployment requires enterprise plan
  • Smaller ecosystem compared to established alternatives

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

Pricing, plan by plan

Estuary

Free
  • DeveloperFree
    • 10 GB per month
    • 2 connector instances maximum
    • No credit card required
  • Cloud$0.5/GB
    • $0.50 per GB of data moved
    • $100 per connector monthly (6+ connectors $50 each)
    • 200+ connectors
  • Enterprise$null/custom
    • Volume-based discounts
    • SOC 2 and HIPAA compliance
    • SSO authentication

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

Which should you pick?

Choose Estuary if

  • You need real-time data delivery.
  • You want to start without paying.
  • You work on Cloud, Private Cloud, BYOC.
  • You also want change data capture.

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.

Questions people ask

Is Estuary or PlanetScale better?
Neither clearly leads. Estuary starts at Free and PlanetScale at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Estuary or PlanetScale?
Estuary starts at Free and PlanetScale at Free.
Does Estuary or PlanetScale run on more platforms?
Estuary runs on Cloud, Private Cloud, BYOC. PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
Can I use Estuary for free?
Both have a free tier, so you can try either at no cost before committing.
What is Estuary best used for?
Estuary is most often used for real-time data replication to data warehouses, change data capture from operational databases, feeding analytics and bi systems with fresh data, powering real-time ai and ml data pipelines. Of those, real-time data replication to data warehouses and change data capture from operational databases are not what PlanetScale is typically brought in for.
What can Estuary do that PlanetScale cannot?
Estuary covers Real-time data delivery, Change data capture, Batch processing, Data transformation. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling.

Answered from the vendors’ own pages

Estuary: What is included in the free Developer plan?

Developer plan ($0/month) includes 10 GB of data per month and up to 2 connector instances, no credit card required.

Source
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
Estuary: How is data pricing calculated on Cloud plan?

Cloud plan charges $0.50 per GB of data moved plus $100/month per connector for the first 6 connectors, then $50/month for additional connectors.

Source
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
Estuary: What discount is available when adding 6+ connectors?

When using 6 or more connectors, the per-connector cost drops to $50/month from $100/month, saving $50 per additional connector.

Source
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
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
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