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ACCELQ vs Mabl – A Snapshot

User experience focused design, simple to use Old school complex and clunky interface using record and playback
Intuitive and Natural UI flow enables Fast Adoption (~1-3 weeks) Setting up UI end to end flow get too complex. Over 3 months.
Design first approach with Business process Application modelling 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 and Script duplicity significantly increases when scaling up automation
Seamless extendible approach for Web-Mobile-API in one codeless flow Limited unified automation capabilities. Does not support Native and Hybrid Mobile Automation, Desktop automation, Green Screen automation etc.
Embedded asset collaboration and management for Smart Test Plans & Governance Disconnected with no transparency of test asset management and planning
Included Test Management Requires external tools to integrate with disparate data flow
In built version control No such Concept

Why ACCELQ is a better alternative to Mabl?

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 Tests are created using record and playback visualizer
Page objects are naturally & automatically centralized across test scenarios Object property identification and Name mapping is not centralized
Design is enforced with intuitive and automatic universe concept Design is manually implemented, and complex use case automation is limited
Data-driven scenarios and Test Case data is inherent to scenario design Data-driven scenarios 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 Tests written using basic record and playback mechanism
Logic editor provides readymade conditional rule validations, loops etc.… for real life tests. Basic and Limited validation Checkpoints in place. Complex validations support is limited
Logic editor provides seamless transition from UI to Mobile to DB to API to File etc. Less customizable Test flow options. Difficult to edit
AI based robust object handling and self-healing (works seamlessly with Angular, iframes, Shadow DOMs, charts, SVG, canvas etc.) Traditional object interaction with limitations to handle complexity and newer tech stacks
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, 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. Is an additional step and is not seamless
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.) Limited Extendibility capabilities and integration setups not seamless

Automation Execution

Cross OS, Cross browser, Cross Mobile execution natively packaged with same agent Limited support
Inbuilt parallel execution with robust high-performance agent that’s scalability Requires a lot of configuration to setup not seamless
Secured and Encrypted communication between Agent and Cloud to test inside firewalls without any special VPN's or network restrictions Workspace sharing with traditional "print report", not real time or dynamic
Docker support for Agent farm expansion with dynamic scalability and parallelization Not supported
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 No clear visibility on overall test coverage
Two-way Defect creation, synchronization, and status tracking for full suite management Lacks full blown suite management
CI job execution with pre-set configurations automatically execute test suites. Adapters support Jenkins, Team city, Bamboo, AzureDevOps, AutoRabit, Copado, Command line API etc. Not a seamless technical integration
Workflow orchestration with CI workflows Complex workflow orchestration needing tech expertise

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 Limited user extendibility and business logic customization capabilities
Cloud based community expansion is significantly rapid Offline concept duplicates effort and high overhead and dependency of support
No impact from upgrades Needs migrations and 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 capture done but must be viewed by clicking on each step. A consolidated screen capture preview not available which would make error identification difficult and time-consuming.
Umbrella style re-run capability for suite re-executions and roll up tracking Not available

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

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.

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