OpenText Core Performance Engineering vs Locust

OCOpenText Core Performance Engineering9.2Visit Locust8.8Visit

Higher score OC OpenText Core Performance Engineering #2 in Performance Testing Software 9.2/10 Pricing on request ✓ 5 of 5 features Visit OpenText

vs

Locust #7 in Performance Testing Software 8.8/10 Free plan Free plan✓ 5 of 5 features Visit Locust

• OpenText Core Performance Engineering fits best

  Enterprises needing cloud regions and AI analysis

• Locust fits best

  Python teams building flexible open-source tests

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Side by side

Feature	OCOpenText Core Performance Engineering 9.2/10 Visit ↗	Locust 8.8/10 Visit ↗
At a glance
Editor score	9.2	8.8
Ranking	#2 in Performance Testing Software	#7 in Performance Testing Software
Best for	Enterprises needing cloud regions and AI analysis	Python teams building flexible open-source tests
Pricing model	Paid	Free
Starting price	Pricing on request	Free plan
Free plan	Not checked yet	✓ (best)
Free trial	—	—
Deployment	Cloud	Cloud, Self-hosted
Platforms	Web	Web, Windows, macOS, Linux
Support	Tickets, Community · 24/7	Docs
Built for	Mid-market, Enterprise	Solo, Small business, Mid-market, Enterprise
Features OpenText Core Performance Engineering 5/5 · Locust 5/5
Load testing	✓	✓
Stress testing	✓	✓
Browser-based testing	✓	✓
Distributed load	✓	✓
API testing	✓	✓
Specs
Deployment model	Hybrid	Hybrid
Max virtual users	Not checked yet	Not checked yet
Our review
Pros	Distributed testing across more than 40 cloud regions Combines browser, REST API, JMeter, Gatling, and mobile web testing AI-assisted scripting, predictive analytics, and network virtualization	Define test scenarios in regular Python code Run real-time, headless, or distributed tests Extend workloads with protocols, clients, and integrations
Cons	Usage-based pricing requires contacting sales Hybrid deployments may require on-premises load generators Its broad scope may exceed the needs of lightweight testing teams	Self-hosted deployment places operations on your team Browser testing uses documented Playwright or Selenium extensions Core HTTP/HTTPS coverage may require extensions for other protocols
Our verdict	OpenText Core Performance Engineering is a cloud-based service for development, QA, and performance engineering teams. It covers planning, test creation, execution, monitoring, analysis, and reporting for web, API, mobile web, and… Read the review →	Locust is an open-source performance and load testing tool for developers and test engineers who want to define simulated behavior in Python. It supports load, stress, browser, distributed-load, and API testing across web, Windows, macOS,… Read the review →

Strengths and trade-offs

• OpenText Core Performance Engineering — where it wins

  • Distributed testing across more than 40 cloud regions
  • Combines browser, REST API, JMeter, Gatling, and mobile web testing
  • AI-assisted scripting, predictive analytics, and network virtualization

  Where it doesn't

  • Usage-based pricing requires contacting sales
  • Hybrid deployments may require on-premises load generators
  • Its broad scope may exceed the needs of lightweight testing teams

• Locust — where it wins

  • Define test scenarios in regular Python code
  • Run real-time, headless, or distributed tests
  • Extend workloads with protocols, clients, and integrations

  Where it doesn't

  • Self-hosted deployment places operations on your team
  • Browser testing uses documented Playwright or Selenium extensions
  • Core HTTP/HTTPS coverage may require extensions for other protocols

• OCOpenText Core Performance Engineering9.2/10 · Pricing on request

  A broad hybrid performance-testing suite for enterprise web, API, and mobile workloads.

  Visit OpenTextFull verdict →
• Locust8.8/10 · Free plan

  A flexible Python-based load testing tool for teams that want self-hosted control.

  Visit LocustFull verdict →