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Gatling vs Locust

Side-by-side comparison of Gatling and Locust. Data-driven analysis for CTOs and engineering leaders.

Technical Profile

Gatling

Scalability
very high
Performance
very high
Learning Curve
moderate
Maturity
mature
Languages: Scala, Java, Kotlin

Locust

Scalability
very high
Performance
high
Learning Curve
easy
Maturity
mature
Languages: Python

When to Use

Gatling

  • +Enterprise load testing
  • +JVM teams
  • +High-volume tests

Avoid Gatling when

  • -Simple tests
  • -Non-JVM teams

Locust

  • +Python teams
  • +Distributed load tests

Avoid Locust when

  • -Non-Python teams
  • -Maximum performance needed

Compliance & Security

Gatling

SOC 2GDPRHIPAAPCI-DSS

Security Features

EncryptionAudit LogsRBACMFA

Locust

SOC 2GDPRHIPAAPCI-DSS

Security Features

EncryptionAudit LogsRBACMFA

Operations

Gatling

Maintenance
medium
Monitoring
medium
Backup/Recovery
simple
Hosting: self-hosted, cloud

Locust

Maintenance
low
Monitoring
medium
Backup/Recovery
simple
Hosting: self-hosted, cloud

Frequently Asked Questions

How does scalability compare between Gatling and Locust?

Gatling offers very-high scalability, while Locust offers very-high scalability. Consider your expected traffic and data volume when choosing.

Which has the easier learning curve: Gatling or Locust?

Gatling has a moderate learning curve, while Locust has a easy learning curve. Factor in your team's existing skills and onboarding timeline.

What are the pricing differences between Gatling and Locust?

Gatling uses a freemium pricing model starting at $0 with a free tier. Locust uses a free pricing model with a free tier. Evaluate total cost of ownership including operational overhead.

Which option is better for compliance: Gatling or Locust?

Gatling supports SOC 2, GDPR, HIPAA, PCI-DSS. Locust supports SOC 2, GDPR, HIPAA, PCI-DSS. Always verify current certifications directly with the vendor.

Need help deciding between Gatling vs Locust?

Use our interactive decision tool for a personalized recommendation.