Many enterprises still rely on those traditional applications in the back end. However, they are significantly different from smart applications in various ways. Let's explore the key differences between smart and traditional applications.
1. Data Orientation
As mentioned earlier, smart applications are data-driven and they use data science and ML to obtain actionable insights.
On the other hand, traditional applications can be considered data-blind. Legacy apps don’t utilize any technologies or perform any analysis for designing and documenting user experience.
2. Architecture
Smart applications are based on microservice architecture, which features many loosely coupled and independently deployable smaller services.
The value of microservice architecture lies in the fact that it promises quicker and easier software updates in a cost-effective manner. Since components can be scaled independently of one another, it prevents cascading failures or errors.
Traditional applications with their monolithic architecture are highly interdependent, which makes them less scalable and flexible to new changes.
3. Evolution
Smart applications are advancing every day. With the recent breakthroughs in data science, ML, and AL, smart apps are also evolving at a rapid pace to meet the dynamic needs of the digital era.
In contrast, traditional applications remain legacy apps. Unless there is any bug or security fix, traditional apps are retained in their standard infrastructure.
4. Personalization
As established, smart apps leverage intuitive and responsive interfaces to deliver a personalized user experience.
Contrarily, traditional apps follow a one-size-fits-all approach toward user experience.
Scalability
Smart Applications: Using cloud-based infrastructure and adaptable services, these applications are made to easily scale with company needs.
Traditional Applications: Rigid architecture and on-premise reliance make scaling difficult.
Smart Applications: Provide conversational interfaces, such as voice assistants and chatbots, for smooth communication that adjusts to user preferences.
Traditional applications: Usually have limited interaction possibilities and rely on preset procedures and static menus.
Smart Applications: Facilitate a connected environment by effortlessly integrating with other tools, platforms, and smart devices.
Traditional Applications: Need a lot of work to be compatible with other systems and have limited integration capabilities.
Smart Applications: Process data in real time, allowing for immediate updates, forecasts, and insights.
Traditional Applications: Usually run in batch processing mode and lack real-time capabilities.
Smart Applications | Traditional Applications |
---|
Data-driven | Data blind |
Microservices architecture | Monolithic architecture |
Highly scalable | Low scalability |
Highly flexible | Low flexibility |
Dynamic evolution | Static |
Customised user experience | One-size fits all service |
Suggested Read: 10 Top IoT App Development Companies in 2023