Software Alternatives & Startups

GetFeedback VS locust

Compare GetFeedback VS locust and see what are their differences

GetFeedback

Online survey software that allows anyone to create engaging surveys that display perfectly on smartphones, tablets, and browsers. View your results in real-time. Who said online surveys can’t be fun?

GetFeedback Landing page
Rating
0 reviews
locust

An open source load testing tool written in Python.

locust Landing page
Rating
0 reviews
Pricing
Open source
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, locust seems to be more popular. It has been mentioned 65 times since March 2021.

social mentions
0 vs 65
Surveys popularity
100% vs 0%
alternatives listed
240+ vs 213

Base details

Website, pricing, platforms and company facts side by side.

GetFeedback
locust
Website getfeedback.com locust.io
Pricing
Open source
Listed in

Features and specs

What each product offers, as listed by its team.

GetFeedback 5 features
locust 5 features
  • User-Friendly Interface
    GetFeedback is known for its intuitive and easy-to-use interface, making it accessible for users with varying levels of technical expertise.
  • Real-Time Feedback and Analytics
    Offers real-time analytics and reporting features that allow organizations to quickly assess and respond to customer feedback.
  • Integration Capabilities
    Integrates seamlessly with various CRM systems, including Salesforce, enabling streamlined data flow and enhanced customer relationship management.
  • Customizable Surveys
    Provides extensive customization options for creating branded and personalized surveys, which can improve response rates and data quality.
  • Mobile-Friendly
    Ensures that surveys are mobile-responsive, allowing customers to provide feedback conveniently from any device.

Possible disadvantages

  • Pricing
    Can be relatively expensive compared to some other survey tools, which might be a concern for small businesses or startups with limited budgets.
  • Learning Curve
    While user-friendly, some advanced features and integrations may have a learning curve, requiring time for users to fully utilize its capabilities.
  • Limited Offline Capabilities
    Primarily a web-based tool, which may limit its usefulness in environments where offline survey collection is needed.
  • Customization Limitations
    Although customizable, some users have reported limitations in design and question types compared to more specialized survey tools.
  • Customer Support
    Some users have indicated that customer support response times can be slow, which may impact the resolution of urgent issues.
  • Scalability
    Locust is designed to distribute the load tests across multiple machines, allowing for high scalability and the ability to simulate millions of users.
  • Python-based
    The tool is written in Python, which makes it highly flexible and suitable for those who are familiar with the language. You can write custom test scenarios easily.
  • Web-based UI
    Locust provides a user-friendly web-based interface that makes it easy to monitor and control the test execution in real-time.
  • Real-time monitoring
    During test execution, you get real-time statistics and charts that help in monitoring the performance and load.
  • Open-source
    Being an open-source tool, Locust allows for community contributions and is free to use, which helps in continuous improvement and support from the user base.

Possible disadvantages

  • Setup Complexity
    Initial setup can be somewhat complex, especially for large scale or distributed tests. Requires experience with Python and potentially other infrastructure setups.
  • Resource Intensive
    Locust can be resource-intensive, requiring significant compute resources, particularly when simulating large numbers of users.
  • Steeper Learning Curve
    Despite its flexibility, the requirement to write test scenarios in Python may present a learning curve for users not familiar with programming.
  • Limited Protocol Support
    Primarily designed for HTTP/HTTPS protocols, Locust might not be suitable for load testing applications that use other protocols without additional customization.
  • Dependence on External Libraries
    While the use of Python offers flexibility, it also means that you might need to rely on external libraries and tools, which can introduce dependency management issues.

Analysis

An editorial look at what each product does well and who it suits.

GetFeedback
locust

Overall verdict

  • Yes, GetFeedback is considered a good option for businesses looking to effectively gather and analyze customer feedback. Its user-friendly interface and strong integration options provide great value.

Why this product is good

  • GetFeedback is a popular tool for creating surveys and gathering customer feedback. It offers an intuitive design, integration capabilities with various platforms like Salesforce, and customizable templates. Its ease of use and robust analytics features make it appealing for businesses wanting to enhance their customer experience strategies.

Recommended for

  • Businesses using Salesforce
  • Organizations looking for intuitive survey tools
  • Teams aiming to improve customer experience
  • Companies requiring detailed feedback analytics

Overall verdict

  • Locust is a powerful and flexible tool for load testing, particularly advantageous for teams familiar with Python. Its scalability and ease of setup make it a strong choice for both small and large projects.

Why this product is good

  • Locust (locust.io) is considered a good tool for load testing due to its easy-to-use, scalable, and distributed nature. Written in Python, it allows developers to write simple or complex test scenarios in the same language. It enables the simulation of millions of users by distributing tasks across multiple machines, making it highly valuable for performance testing of websites and applications. The web-based user interface is another advantage, allowing real-time monitoring of test progress and results.

Recommended for

  • Development teams looking for a scalable load testing tool.
  • Organizations that prefer open-source solutions.
  • Projects requiring custom test scenarios in Python.
  • Teams needing real-time monitoring and distributed testing capabilities.

Videos

Walkthroughs and reviews on video.

GetFeedback 0 videos + Add
locust 3 videos + Add

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Locust review - GTA Online guides

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Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
GetFeedback
locust
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using GetFeedback and locust. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

GetFeedback no reviews yet
locust no reviews yet

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GetFeedback 0 mentions
locust 65 mentions

Tracking GetFeedback since Mar 2021.

  • 15 Common Kubernetes Pitfalls & Challenges
    Regularly review your cluster's utilization to check whether it's still suitable for your workloads. Test autoscaling rules by using a load-testing tool like Locust to direct excess traffic to your cluster. This lets you spot problems... - Source: dev.to / 11 months ago
  • Small-Scale Chaos Testing: The Missing Step Before Production
    Locust: While primarily a load testing tool, it can be used to simulate user behavior under stress. - Source: dev.to / 12 months ago
  • Log Spikes? No Sweat: How Top DevOps Teams Tame Bursty Workloads
    But you don’t have to operate at Netflix’s scale to benefit from the same mindset. Effective teams simulate log floods during load tests, which push traffic through staging environments while tracking how ingestion, indexing, and... - Source: dev.to / about 1 year ago

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