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Software · head to head

Datadog Logs vs PlanetScale

Datadog Logs logo

Datadog Logs

Software

Log Management and Analytics

From
$0.1/per GB ingested per month
Rated
-
PlanetScale logo

PlanetScale

Software

The MySQL-compatible serverless database

From
$15/month
Rated
-

The short version

  • Each has a real cost: Datadog Logs complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale; PlanetScale eBS High Availability requires 3-node configuration with replication overhead
  • They diverge on capability: Datadog Logs covers Log ingestion, PlanetScale covers Database Branching.

Where they differ

Only the attributes on which Datadog Logs and PlanetScale actually diverge.

Attributes where Datadog Logs and PlanetScale differ
AttributeDatadog LogsPlanetScale
Starting price$0.1/per GB ingested per month$15/month
Pricing modelusage-basedsubscription
PlatformsCloud (AWS, Azure, Google Cloud, Oracle Cloud)Cloud-hosted (AWS, GCP, Azure)
Founded20102018

Identical on both: free tier (No), 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 Datadog Logs

  • Log ingestion
  • Full-text search
  • Custom dashboards
  • Log-based metrics
  • API
  • Webhooks
  • REST
  • Api support

Only in PlanetScale

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

Both cover

  • Web support

What people use each for

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

Datadog Logs

  • Centralised log aggregation and analysisnot PlanetScale
  • Multi-source log correlation with metrics and tracesnot PlanetScale
  • Root cause analysis and troubleshootingnot PlanetScale
  • Security monitoring and threat detectionnot PlanetScale

PlanetScale

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

Where each one falls short

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

Datadog Logs

  • Complex, multi-tiered pricing model based on ingestion, indexing, and storage; can become expensive at scale
  • Ingestion pricing of $0.10/GB can accumulate rapidly for high-volume logging environments

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

Pricing, plan by plan

Datadog Logs

$0.1/per GB ingested per month

No published plan breakdown. See the Datadog Logs review.

PlanetScale

$15/month

No published plan breakdown. See the PlanetScale review.

Which should you pick?

Choose Datadog Logs if

  • You need log ingestion.
  • You work on Cloud (AWS, Azure, Google Cloud, Oracle Cloud).
  • You also want full-text search.

Choose PlanetScale if

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

Questions people ask

Is Datadog Logs or PlanetScale better?
Neither clearly leads. Datadog Logs starts at $0.1/per GB ingested per month and PlanetScale at $15/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Datadog Logs or PlanetScale?
Datadog Logs starts at $0.1/per GB ingested per month and PlanetScale at $15/month.
Does Datadog Logs or PlanetScale run on more platforms?
Datadog Logs runs on Cloud (AWS, Azure, Google Cloud, Oracle Cloud). PlanetScale runs on Cloud-hosted (AWS, GCP, Azure).
What is Datadog Logs best used for?
Datadog Logs is most often used for centralised log aggregation and analysis, multi-source log correlation with metrics and traces, root cause analysis and troubleshooting, security monitoring and threat detection. Of those, centralised log aggregation and analysis and multi-source log correlation with metrics and traces are not what PlanetScale is typically brought in for.
What can Datadog Logs do that PlanetScale cannot?
Datadog Logs covers Log ingestion, Full-text search, Custom dashboards, Log-based metrics. PlanetScale covers Database Branching, Non-blocking Schema Changes, Insights, Horizontal Scaling. Both handle Web support.

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