In the dynamic world of software testing, Katalon and Autify emerge as comprehensive solutions, each with its unique offerings. Katalon provides a versatile quality management platform, boasting AI-augmented testing and robust integrations, suitable for teams seeking a balance between low-code and full-code capabilities.
On the other hand, Autify offers a streamlined, no-code experience powered by AI, emphasizing ease of use and cost-effectiveness for QA teams. While both platforms cater to web and mobile applications, their approach to device testing and ease of learning differs, guiding teams to a choice that best fits their workflow.
Latest update: 1/31/2024, 3:45:24 PM
We do not guarantee the accuracy, reliability, or completeness of the information presented on our website. This includes prices, product specifications, and availability, which are subject to change. The reviews on this site are collected from g2.com and crozdesk.com and summarized by us.
Feature comparison of Katalon and Autify
|Uses Computer Vision
|Ease Of Use
|easy to learn
|very easy to learn
|Is Open Source
– Reduced Effort in Test Maintenance: Users report that Katalon simplifies the creation and maintenance of reusable methods, which can reduce time and effort significantly.
– Built-in Reporting Features: The platform automatically captures snapshots on test failures, which enhances the efficiency of reporting.
– Comprehensive Test Features: Offers features like Record, Object Spy, and Frame Handling, which streamline the testing process.
– Low Learning Curve: Katalon is accessible to manual testers, allowing them to transition to automation testing with minimal training.
– Cross-Functional Testing Support: It supports UI, API, and Mobile testing within a single platform, reducing the need to manage different tools for different types of testing.
– Community and Customer Support: There is strong community support for the free version and dedicated customer support for the paid version.
– Facilitates Cross-Functional Roles: Enables testers to handle both manual and automated testing, effectively becoming cross-functional team members.
– CI/CD Integration: For those who opt for the paid version, it offers Continuous Integration/Continuous Deployment integration.
– Codeless Automation: Provides a codeless automation option, making it accessible for teams with limited coding knowledge.
– Efficiency in Test Execution: Users find that Katalon allows for faster test execution compared to manual testing, enabling more extensive and frequent testing.
1. No Coding Required: Autify allows users to create and execute test cases without any programming knowledge, thanks to its no-code, visual test editor.
2. Time and Resource Efficiency: The platform’s no-code approach saves time and resources, allowing for quick design and implementation of test scenarios.
3. AI-Powered Maintenance: Autify uses AI to maintain and automatically update test scenarios, reducing the risk of human error.
4. Facilitates Agile Methodologies: Teams using Autify can complete sprints more efficiently, as it aids in testing scenarios and highlights when a review is needed.
5. Quality Assurance with AI: Autify leverages AI for next-generation quality assurance testing.
6. Rapid Test Framework Creation: Users can set up their test automation framework quickly due to Autify’s user-friendly interface and support channels.
7. Test Recorder Feature: Autify’s test recorder simplifies the process of creating tests by recording user interactions.
8. Intuitive Review Process: When Autify detects anomalies, it prompts for a review, showing screenshots for easy comparison of expected and actual results.
9. Facilitates Continuous Testing: Autify can be integrated into release cycles for smoke-testing and can be triggered daily to ensure end-to-end test coverage.
10. Supports Complex Applications: Autify is capable of handling end-to-end testing between complex systems like a NextJS frontend and a Rails backend.
– Separate Licensing: Some users find the need for separate licenses for different features to be a disadvantage.
– Cost for Advanced Features: Advanced features like CI/CD integration and Visual Testing require a paid license.
– Mobile Execution Issues: There have been reports of instability during mobile test execution, where sessions unexpectedly close.
– High Resource Usage: Users with less powerful hardware have experienced performance issues, indicating the platform may require substantial system resources.
– Lack of Support for Legacy Systems: Katalon currently does not support automation testing for legacy Java UIs, which can be a limitation for some organizations.
– Limited TestOps Analytics: The free version has limitations on the analytical results available through TestOps, pushing users towards the paid version for full functionality.
– Separate Licensing for Cloud Features: Features like Parallel Cloud Execution and Cloud Tunnelling require additional licensing, which can increase costs.
– Limited Free Features: Some users feel that the most valuable features are locked behind the paid version, which can be a barrier for smaller teams or individual users.
– Hardware Demands: The platform’s demand on hardware resources can lead to slower performance on less capable machines.
– No Bundled Packages: Users would prefer bundled packages for the various Katalon products to simplify licensing and possibly reduce costs.
1. Limited Integrations: Autify’s integration options are limited, which could be expanded for better collaboration and workflow integration.
2. Learning Curve: Despite its no-code approach, users may still need to invest time to deeply understand how to fully leverage Autify’s features.
3. Lack of Self-Tutorial Videos: The absence of self-tutorial videos can make it challenging for new users to familiarize themselves with the platform.
4. Challenges with Complex Data: Users have found it difficult to manage complex data such as product pricing and discounts during CPQ automation.
5. Limited Customization for Metrics: There is a need for more control over customizing metrics to improve the customer experience.
6. Initial Test Setup Required: Despite its ease of use, users still need to set up the initial tests, which may be a minor inconvenience.
7. Potentially Overshadowed Manual Review: The AI’s prompt for reviews when anomalies are detected might lead to an over-reliance on the tool, potentially overshadowing manual quality assurance.
8. Possible Overfitting to Previous Test Executions: While AI matching element characteristics is helpful, it may sometimes overfit to previous test results, leading to less flexibility in adapting to new changes.
9. Limited Support for Certain Use-Cases: Some specific use-cases, especially those involving complex user interactions, may not be as easily automated with Autify.
10. Dependence on Platform Updates: Users are reliant on frequent updates from Autify to improve UI responsiveness and compatibility, which may not always align with their needs.
Pricing Model Comparison: Katalon vs. Autify
Katalon Pricing Overview
Katalon’s pricing is tiered, with a free Starter Plan for small teams and newcomers to test automation. The Premium Plan begins at $167 per month (billed annually) and is aimed at professional users, while the Ultimate Plan targets enterprises and requires custom pricing. Annual billing offers up to a 25% discount. Katalon also provides package deals and discounts for new customers, with a focus on comprehensive testing capabilities, including AI and visual testing.
Autify Pricing Overview
Autify’s pricing also follows a tiered structure, with a Starter Plan at $120 per month, or $99 with annual billing, which translates to an 18% saving. The Pro Plan costs $550 per month, or $450 with annual billing. An Enterprise Plan with custom pricing is available too. Aside from the number of parallel test executions and tests per month, all plans include core features like scenario recording and cloud testing, with additional support and professional services in higher-tier plans.
Comparing the Pricing Models
Both Autify and Katalon employ tiered pricing models, but there are notable differences in their approach and offerings:
Free Tier Availability: Katalon provides a free Starter Plan with basic features, whereas Autify does not offer a free tier.
Annual Billing Discounts: Both offer discounts for annual billing, with Katalon’s discount up to 25% and Autify’s at 18%.
Plan Structuring: Katalon’s plans are segmented into Starter, Premium, and Ultimate, with the latter two being paid plans. Autify, on the other hand, starts with a paid Starter Plan and extends to Pro and Enterprise plans.
Custom Pricing: Both platforms offer custom pricing for their top-tier plans (Katalon’s Ultimate and Autify’s Enterprise), catering to large organizations with complex needs.
Feature Allocation: Katalon’s pricing model is heavily feature-based, with advanced capabilities like AI-powered and visual testing available in higher-tier plans. Autify provides core features across all plans, with the main differences lying in usage limits like parallel test executions and the number of tests.
Support: Support services vary by plan for both products. While Katalon offers package deals that may include support, Autify specifies that chat and onboarding support are included, with professional services available as an add-on for higher-tier plans.
Target Audience: Katalon’s free Starter Plan indicates a focus on accessibility for small teams and beginners, while Autify’s entry-level paid Starter Plan suggests a focus on teams ready to invest in test automation.
Add-ons and Package Deals: Katalon emphasizes package deals and discounts for new customers, indicating a strategy to attract and retain a diverse user base. Autify offers additional features as add-ons, allowing users to customize their plans to some extent.
Understanding the key differences in pricing models between Katalon and Autify is crucial for teams considering investing in a Software Quality Management Platform. While both offer tiered pricing, Katalon’s free starter option and Autify’s uniform feature distribution across paid plans cater to different user needs and preferences. The choice between the two will largely depend on the specific requirements, budget constraints, and desired level of investment in test automation infrastructure.