Mahat vs. Low-Code Platforms

Mahat: Mahat employs a multi-layered architectural framework that allows a well structured and visual configuration of the technical, UX and business architectures. This enables automated and comprehensive system modelling that engender a structured, transparent and co-creative development process. Mahat requires minimal platform training of less than week for any high-school student to start developing applications.

Low-Code: Low-code platforms typically rely on pre-built components and templates rather than holistic multi architecture. This makes low-code development similar to assembling isolated, individual lego blocks or puzzle pieces. This requires technical background to be eligible to learn a low-code platform. The learning needed is again quite technical, extensive and can go on for months.

Mahat: Utilizing its in-built heuristic pattern-recognition and AI integration, Mahat generates context-aware suggestions for every layer of the Business architecture: Business Model, Stakeholders & Users, Business Functions, Business Processes, Business Objects, Object Attributes, and Business Actions. These suggestion can be triggered even with minimal input like just stating the Application Purpose. This makes app development a robust and effortless exercise.

Low-Code: Low-code platforms offer component libraries and templates, but lack intelligent suggestion systems that understand business context. Users must manually select and configure components without architectural guidance. This approach introduces accidental complexity that may require to be managed at a later stage causing potential delays to the overall development process. AI integration into low-code platforms is becoming more advanced. However, without a structured and business-focused development process, it is left to the technical expertise and skills of the developers to review and accept AI guidance. This is especially true in the customization context due to lack of source-code visibility.

Mahat: Requirement gathering is intrinsically linked to the application development through direct configuration in Mahat's structured layers. Non-technical users can input business requirements that immediately translate to application features via visual configuration, with 70-95% of typical applications configurable without coding, making Mahat's approach much more effective when compared to low-code.

Low-Code: Low-code platforms separate requirement gathering from development. Business Analysts document requirements separately and Solution Architects convert it into Software Requirements before developers implement them using drag-and-drop components. This creates potential translation gaps that may result in multiple errors, missing features, confusions and delays.

Mahat: With full access to the source code, customizations are easily managed through dedicated sections within each Business Object, providing contextual task assignment and notifications. Writing, testing, debugging and optimizing the custom code is very straightforward and simple with reference to the generated source code.

Low-Code: Low-code platforms do not expose their generated code. So, it can be challenging to create custom code that seamlessly fits into the underlying generated code when you can't see it. Due to this "black box" situation, developers have limited insight into the architectural patterns, naming conventions, data structures, and internal logic the low-code platforms employ. This makes it harder to write custom code that aligns with and leverages these elements effectively. And invites potential conflicts, debugging complexity, maintenance challenges and a steep learning curve.

Mahat: Entirely abstracts technical concerns (database schemas, workflows, UI design) behind business-oriented configuration. Generates all application elements fresh from patterns rather than using prebuilt components that limit the ability of low-code platforms to print code within the boundaries of such prebuilt artifacts. This represents an enormous advantage of Mahat in addressing a much bigger set of business requirements without manual intervention or coding.

Low-Code: Traditional low-code platforms require users to manage technical implementation details that Mahat fully abstracts—including manual data binding between UI components and backend sources (requiring schema/API knowledge), customization of prebuilt components via JavaScript or JSON, workflow configuration with state management logic, and integration setup (authentication, data transformation). These platforms also expose performance optimization tasks like database indexing, forcing users to bridge the gap between business needs and technical execution. Mahat automatically derives these technical architectures from business-layer configurations, eliminating such complexity and manual work.

Mahat: Enables real-time stakeholder collaboration through visual development progress tracking. Customer can provide immediate feedback on evolving application builds, hence removing the likelihood of missing features and functionalities and enabling dynamic modifications, additions etc in real-time as the application is being built.

Low-Code: Low-code platforms typically lack real-time development visibility and participation for customers. So, customers need to rely on periodic demos or prototypes to give feedback, which can delay iterations and final delivery of the application.

Mahat: Delivers MVPs in days and complete applications in weeks for mid-size projects (≤200 Business Actions). ROI increases with application complexity.

Low-Code: Takes weeks for an MVP and 3 to 5 months for a mid-size app.