Scalability and privacy are often viewed as competing goals. Traditional data architectures rely on centralized data lakes to fuel growth, creating massive honey pots for attackers. However, a paradigm shift is underway.
Edge Computing & Local Storage
With the increasing power of mobile devices, we can now process complex logic on the edge—right on the user's device. This Local-First architecture not only improves privacy by keeping data in the user's hands but also reduces latency and server costs.
For applications dealing with sensitive data, such as financial records or health metrics, this approach is superior. It ensures that:
- Data breaches on the server side yield no sensitive user information.
- Users retain full ownership and control of their digital footprint.
- Applications remain functional even without an internet connection.
At Urticad, we are committed to this architecture, ensuring that as we scale, our users' privacy remains uncompromised.