Why choose a true No-Code platform like

ACCELQ, and not
Katalon Studio!

One Platform that seamlessly
connects to all your testing needs

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GLOBAL ENTERPRISE CUSTOMERS USE ACCELQ

ACCELQ vs Katalon – A Snapshot


Cloud based modern platform	IDE based 1st Gen tool
User experience focused design, simple to use	Old school complex and clunky interface
Intuitive and Natural UI flow enables Fast Adoption (~1-3 weeks)	Needs specialized training and automation Engineers to write scripted tests for complex use cases in groovy language
Design first approach with Business process Application modelling	Folder based object library approach with no relation to Application flow business processes
Test development exponentially accelerates when scaling up automation	Script development becomes complex and slow when scaling up automation
Maintenance significantly reduces when scaling up automation	Maintenance significantly increases when scaling up automation
Seamless extendible approach for WebMobile-API in one codeless flow	Engine based disintegrated step-based approach with complex reusability
Embedded asset collaboration and management for Smart Test Plans & Governance	Disconnected Repository with no transparency of test asset management and planning.
One native platform built with no Silos	Separate tools for various purposes like Katalon Runtime Engine test execution addon for integrating CI/CD, Katalon TestOps for QA orchestration, test analytics and advanced reporting.

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Why ACCELQ is a better alternative to Katalon Studio?

AI and ML


Built with AI/ML ground up organically across each area to bring automation across lifecycle	AI is forced into object handling with no connectivity to design and flow
Natural Language Automation Zero code, but as powerful. No programming needed across Web UI, Mobile, API, Files, Packaged Apps, Databases etc.	No use of AI, keyword driven traditional approach to logic development
Functional Virtualization & Reconciliation AI based reconciliation of abstraction. Enables insprint automation removing application development and stability dependency and implements true TDD	No capability around functional abstraction, only limited service virtualization
Element handling & Bot healing AI based object interaction algorithm with run-time self-healing and BOT based troubleshooting analysis for robust and sustainable automation	Limited AI based interaction not embedded with development flow and design
Auto generation of test cases Algorithmic AI driven approach to automatic calculation of permutation and combinations of data to ensure coverage with a scientific approach	Not available
Adaptive Change Management Universe driven with referential integrity and path analysis algorithms automate change impact significantly reducing automation maintenance	No AI in change impact, manual process with resource knowledge dependency. Slow and not scalable

In-sprint Automation & Shift-left


Application functional abstraction	Not available
Design & author tests parallel to Application development enabling true shift-left	Not available
AI based Re-conciliation of abstraction	Not available
API, DB and middleware Automation with UI	Available with complex engine module, not seamless

Test Design


Universe based visual Application modelling	Not available
Test scenarios are modularized into Pages and User Actions	Keywords Tests are created using record and playback visualizer. Scripted tests need knowledge of groovy programming
Page objects are naturally & automatically centralized across test scenarios	Page Objects need to be explicitly exported across projects for reusability
Design is enforced with intuitive and automatic universe concept	Design is manually implemented, and complex use case automation is limited with specialized “Architects” in team
Data-driven scenarios and Test Case data is inherent to scenario design	Data-driven is a disconnected step once test case is automated and adds overhead.
Parameterization with design alignment to input, environment, run-time, linking and more	Technically oriented variable concept defined after the test case is defined, which reduces modularity.

Automation Development


Codeless natural English coupled with recording	Keyword Tests written using basic record and playback mechanism. Scripted Tests require the need for Groovy programming language
Logic editor provides readymade conditional rule validations, loops etc.… for real life tests.	Basic and Limited validation Check points in place. Complex validations require to build scripted tests with need for programming.
Logic editor provides seamless transition from UI to Mobile to DB to API to File etc.	Less customizable Keyword Test flow. Difficult to edit. Separate projects need to be created to work with UI, Mobile, API etc. does not allow seamless transition.
AI based robust object handling and selfhealing (works seamlessly with Angular, iframes, Shadow DOMs, charts, SVG, canvas etc.)	Traditional object interaction with limitations to handle complexity and newer tech stacks. Limited self-healing capabilities.
Behavior driven predictive test designer for fast test creation and reusability	Every test case starts with blank slate, and tester needs to be well versed with Keywords.
Automated and AI based reconciliation for UI and Object changes	No centralized handling, No reconciliation
AI driven data permutations auto-generates test cases providing accurate coverage	Not available
Capture the structure of test data based on business semantics. Ensure data abstraction is consistently driven across test scenarios.	Not available
Seamlessly manage multiple variants of test data suitable for different test execution environments	Not available
Cloud driven automatic extendibility to newer tech stacks (UI controls, DB, Mainframes, Files etc.)	Manual process to create and add engines. Requires specialized skills

Automation Execution


Cloud and Local Execution agents allow justin-time execution against any tech stack	Cloud agent not natively supported
Cross OS, Cross browser, Cross Mobile execution natively packaged with same agent	Limited support with script setup approach
Inbuilt parallel execution with robust high performance agent that’s scalability	Need separate tool Katalon TestOps for parallel execution
Secured and Encrypted communication between Agent and Cloud to test inside firewalls without any special VPN’s or network restrictions	Repository based workspace sharing with traditional “print report”, not real time and dynamic
Docker support for Agent farm expansion with dynamic scalability and parallelization	Requires Specialized Architect support to integrate with Docker
Integration with 3P cloud infrastructure farms like sauce labs, browser stacks	Limited support with script setup approach

Change Management


Naturalized model with referential integrity across pages, test steps, objects, suites automates the change impact process efficiently propagating changes across test assets	No referential integrity possible between test assets
Objects are centrally managed in correlation with Application pages, and object changes are automatically reflected across all tests	Objects are managed in library manner that do not relate back to common shared model
Collaborative platform on cloud with real time sharing, version control, branching with intuitive design not requiring any special training or “source control” management skills	Offline repository for black-box script database. Requires maintaining a separate source control system and related operations.

CI/CD & Tool Integrations


Bi-directional and natively built synchronizer for Traceability tracking, coverage analysis and requirements based Test suite planning on a modern Web Interface on cloud	Technical level integration with no clear visibility (IDE based developer view)
Two-way Defect creation, synchronization, and status tracking for full suite management	Database level duplicate data synch with no suite management views and portlets
CI job execution with pre-set configurations automatically execute test suites. Adapters support Jenkins, Team city, Bamboo, AzureDevOps, AutoRabit, Copado, Command line API etc	Technical integration needing synch rules with overheads.
Workflow orchestration with CI workflows	Require separate tool Katalon TestOps for QA orchestration and Katalon Runtime Engine test execution add-on for integrating CI/CD

Technology Extendibility


Open concept of user extensibility to expand scope of existing technology stack, as well as build-import to extend for new technology stack	Engine based concept requiring very specialized skill set
Cloud based community expansion is significantly rapid	Offline concept duplicates effort and high overhead and dependency of support
No impact from upgrades	Needs upgrades

Governance & Reporting

ACCELQ’s app universe and analytic based algorithms drive automated Test Planning ensuring coverage	No intelligence in test planning and suite creation, folder style traditional planning
Dynamic live results views with actionable reports to trigger reruns	Static report is dumped into an offline folder type repository
Embedded screen captures, directly associated with automation interactions	Screen dump report that is separate from test result report
Umbrella style re-run capability for suite reexecutions and roll up tracking	Not available

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The ACCELQ difference

Simple to adopt and elegantly designed, with the power to give your testing real acceleration

API and UI automated in the same flow

Unique capability to integrate API and UI testing in the same flow, enabling true end-to-end validation without handoffs. API testing at the same simplicity and regression maturity as UI automation.

Automated test case generation and data planning

Design your data behavior on a canvas and let ACCELQ take care of automated test case generation with proven risk coverage assurance. Centrally manage data changes without impacting test cases.

Seamless CI/CD integration and natural traceability

Native integration with CI/CD tools such as Jira, Jenkins ensure test automation is integral to development lifecycle. Traceability is redefined with the intelligent, connected test repository.

Salesforce Release Alignment

Being an ISV partner, ACCELQ is aligned to Salesforce releases to ensure smooth Salesforce upgrades with robust Automation testing

Automation Support

Automation support for diverse technology stack for end-to-end Salesforce process validations

In-sprint automation without need for programming

Develop automation test logic in plain English, concurrently with application development. Address in-sprint volatility with intelligent change management and powerful reconciliation engine.

Enable manual testers to automate testing

Powerful natural language editor allows you to write test automation logic in plain English. Design-first approach on UX driven platform allows manual testers to scale up without learning curve.

Visual application model for lifecycle automation

ACCELQ’s Universe is a visual blueprint of your application and drives automation across quality lifecycle with business process focus. Develop test scenarios with predictive analytics.

Self-healing autonomic test automation

ACCELQ’s analytic runtime engine ensures a reliable test execution by intelligently adapting to unexpected application changes. Design-first approach ensure Robust element ID based on AI.