Why choose a true No-Code platform like

ACCELQ, and not testRigor!

One Platform that seamlessly
connects to all your testing needs

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GLOBAL ENTERPRISE CUSTOMERS USE ACCELQ

ACCELQ vs testRigor – A Snapshot


ACCELQ is a cloud-based enterprise test automation platform that allows for automation of scenarios that can span across tech stacks like Web-API-Backend-Mainframe-Desktop-Mob	testRigor is a tool lacking end-to-end automation across web-API-mobile-desktop. testRigor does not offer comprehensive platform-level capabilities like Test Management, Version Control, Branching/Merging, Real-time release alignment for Cloud Apps, Test Reporting, and Governance
AiRecorder, coupled with a powerful natural language editor, allows you to record test automation logic with zero code. This embeds a design-first approach with inbuilt modularity and reusability for scalable, low-maintenance automation	Relies on English-language support documentation for test logic creation where remembering the action syntax can be become a challenge.
ACCELQ LIVE is a specialized solution for alignment with Salesforce, Oracle, NetSuite, Microsoft Dynamics, etc., with real-time release alignment. This brings pre-built automation assets that are automatically updated with multiple vendor releases. ACCELQ also is a deep-rooted partner with Salesforce, Oracle, Microsoft, etc., to achieve this level of integration.	Lacks any such specialized support and release alignment with any enterprise applications. A new application release will add to automation maintenance overhead
Referential integrity across test assets. Embedded asset collaboration and management for Smart Test Plans & Governance	Assets collaboration can become a challenge. Need a separate Test suite for each type of testing web or mobile. Additional overhead to remember rules and Test Data not intelligently filled during logic creation
Powerful & intelligent element capture technology creates robust automation. AI-powered Self-healing capabilities.	Element handling is very basic which identified based on element label and positioning. Will not serve real-world use cases and dealing with complex and dynamic live elements.
Dynamic live results views with comprehensive troubleshooting. Actionable reports to trigger reruns	Execution reporting is not very informative and basic in nature. High level screenshots generated with pass-fail dashboard
No coding needed, no matter how complex and dynamic your application. Enable the entire team to automate without the need for programming.	Need to introduce Complex logical constructs or validations? Difficult to achieve! API testing requires lots of customization in the action logic.
Test development exponentially accelerates when scaling up automation and maintenance significantly reduces when scaling up automation	Test Script development becomes complex and slow when scaling up automation and Maintenance significantly increases when scaling up automation.
Seamless extendible approach for Web-Mobile-API in one codeless flow	Limited unified automation capabilities. Separate test suite needed for separate type of testing. Automating Web, API, Mobile in the same flow is not possible. Does not support Mainframes or Desktop automation
Powerful Test Management Platform with end-to-end capabilities	No Test Management capabilities
SaaS based multi-user collaborative platform on cloud with In-built version control	Not a collaborative multi-user environment. Requires connecting with GitHub for version control.

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Why ACCELQ is a better alternative to testRigor?

Test Design


Universe-based visual Application modelling	No such concept of Universe-based application modelling
Test scenarios are modularized into Pages and User Actions	One-to-one mapping between Test cases and test suites. Sharing Test cases across Test Suites is not possible. Relying heavily on reusable rules will make ensuring reusability and modularity a challenge
Page objects are naturally & automatically centralized across test scenarios	No centralized object repository sharing. Object identification relies heavily on element labels making it difficult when dealing with complex tech and dynamic objects.
Design is enforced with intuitive and automatic universe concept	Design is not intuitive heavily relies on learning the support documentation. Does not cater to business rule customizations thereby requiring considerable updates and edits to handle complex use case automation.
Data-driven scenarios and Test Case data are inherent to scenario design	Data-driven is a disconnected step. Test Data need to be added prior to test case creation and adds overhead.
Parameterization with design alignment to input, environment, run-time, linking and more	Technically oriented variable concept defined before or after the test case is defined, which reduces modularity. Includes a lengthy table too complex to maintain as the number of parameters increase. Difficult remembering all the possible parameters created making it too complex to author tests

Automation Development


Codeless natural English coupled with recording	Tests written using plain English but required referring support documentation for syntax frequently. No Auto Suggest.
Logic editor provides readymade conditional rule validations, loops, etc. for real-life tests	Difficult to infuse logical constructs such as conditionals, loops, etc. Complex validation support is limited.
Logic editor provides seamless transition from UI to Mobile to DB to API to File etc.	Less customizable Test flow options. Command list can get too long when dealing with complex end to end test scenarios making it difficult to edit and maintain
AI-based robust object handling and self-healing (works seamlessly with Angular, iframes, Shadow DOMs, charts, SVG, canvas, etc.	Object interaction using element label names with limitations to handle complexity and newer tech stacks. No concept of self-healing
Behavior-driven predictive test designer for fast test creation and reusability	Limited reusability capabilities and designing overheads.
Automated and AI-based reconciliation for UI and Object changes	No centralized handling, Requires manual intervention for reconciliation
AI-driven data permutations auto-generate test cases providing accurate coverage	Auto-discovery available with limited capabilities. Shallow test cases generated which lack maturity of considering business logic
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.	Test Data Sets available to work with one test execution environment at a time.
Cloud-driven automatic extendibility to newer tech stacks (UI controls, DB, Mainframes, Files, etc.	Limited Extendibility capabilities and integration setups are not seamless

Automation Execution


ACCELQ Reports provide a functionally rich interface to test execution results.	Basic reporting with Tree view and pass-fail aggregated dashboard.
Docker support for Agent farm expansion with dynamic scalability and parallelization	Not Available
Integration with 3P cloud infrastructure farms like Saucelabs, BrowserStack, LambdaTest etc.	Limited support. Device selection and customization is a disconnected step. Single setup applies across all tests and adding changes become an overhead

Change Management


A naturalized model with referential integrity across pages, test steps, objects, and suites. Automates the change impact process efficiently, propagating changes across test assets.	No referential integrity is possible between test assets. Any changes must be updated manually one by one and not propagated automatically across assets
Objects are centrally managed in correlation with Application pages, and object changes are automatically reflected across all tests	No concept of Object management identification based on labels making is highly unreliable and prone to flakiness.
Collaborative platform on the cloud with real-time sharing, version control, branching with intuitive design not requiring any special training or “source control” management skill	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 synthesizer for Traceability tracking, coverage analysis, and requirements-based Test suite planning on a modern Web Interface on the cloud	Technical level integration with no clear visibility
Two-way Defect creation, synchronization, and status tracking for complete suite management	Database level duplicate data synch with no suite management views and portlets
CI job execution with pre-set configurations automatically executes test suites. Adapters support Jenkins, Team City, Bamboo, AzureDevOps, AutoRabit, Command line API, etc.	Limited CI Integration capabilities. Technical integration needs synch rules with overheads.
Workflow orchestration with CI workflows	One-way test execution trigger with minimal feedback

Automation-first capabilities ( In-sprint & 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
Real-time Debugging	Not available
Shift-Left Performance	Not available
API, DB and middleware Automation with UI	Available with complex action customization, not seamless

Technology Extendibility


Open concept of user extensibility to expand the scope of the existing technology stack, as well as build-import to extend for new technology stack	Requires specialized skill set expand support for new technology stack. Creating high dependency till platform update.
Cloud-based community expansion significantly rapid	Offline concept duplicates effort and high overhead, and dependency on support
No impact from upgrades and no operational responsibility on the customer	Needs migrations and upgrades. A lot of operational responsibility on customer relying heavily on process outcome.

Governance & Reporting


ACCELQ’s app universe and analytic based algorithms drive automated Test Planning ensuring coverage	Basic test case Auto discovery feature not very mature in identifying real world use-cases. Does not assist with test coverage and planning.
Dynamic live results views with actionable reports to trigger reruns	Result screenshots are viewable allowing to debug only at the end of the run.
Embedded screen captures, directly associated with automation interactions	Screen capture must be viewed clicking on each step. Detailed action results are maintained in tree view which needs to be drilled down making debugging difficult and time-consuming

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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.