BlazeMeter vs Loader.io: What are the differences?
Developers describe BlazeMeter as "The Load Testing Platform for Developers". Simulate any user scenario for webapps, websites, mobile apps or web services. 100% Apache JMeter compatible. Scalable from 1 to 1,000,000+ concurrent users.
. On the other hand, Loader.io is detailed as "Simple Cloud-based Load Testing". Loader.io is a free load testing service that allows you to stress test your web-apps/apis with thousands of concurrent connections.
BlazeMeter and Loader.io belong to "Load and Performance Testing" category of the tech stack.
"I can run load tests without needing JMeter scripts. " is the top reason why over 7 developers like BlazeMeter, while over 5 developers mention "Easy to use" as the leading cause for choosing Loader.io.
OpenLabel, DocEngage, and CybrHome are some of the popular companies that use Loader.io, whereas BlazeMeter is used by MIT, Stormpath, and Day Delegate Limited. Loader.io has a broader approval, being mentioned in 14 company stacks & 8 developers stacks; compared to BlazeMeter, which is listed in 6 company stacks and 3 developer stacks.
What is BlazeMeter?
What is Loader.io?
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What are the cons of using BlazeMeter?
What are the cons of using Loader.io?
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I don’t remember exactly how I heard about Loader.io. I think I was adding load testing services to Leanstack. I saw it was a SendGrid Labs project, so there would be competent people behind it. And since they had a Heroku Add-On it was easy to get started. Loader.io is cool because it’s super simple to set up.
When executing tests, you can see error rate and average response times. But we also check the Heroku logs to see if they are real errors.
My biggest complaint: figuring out what load to set for your tests is difficult. We don’t understand the language they use and no one we’ve spoken to that has used Loader.io understands it either. We’ve been testing at 250 clients (maintain client load) for all of our tests on 2 dynos. That means a constant load of 250 people using the site over a minute, or so I thought. The number of requests at the end of the test suggests it’s more like 250 additional clients hitting the site every second for a minute. But I guess accommodating a higher load is better anyways? 250 concurrent users seems to be our average HN traffic spike so that’s why we went with that load.