Capacity estimation for Google Maps System Design
Data Storage:
- Map Data:
- Estimated at 1 Petabyte (PB).
- 1 PB = 1,000 Terabytes (TB) = 1,000,000 Gigabytes (GB)
- Traffic Data:
- Hundreds of TB daily.
- Assuming 500 TB/day, 500 TB * 365 days = 182,500 TB annually.
- POI Data:
- Estimated over 100 TB.
Server Resources:
- Processing Power:
- Handling billions of user requests and real-time updates requires massive computational power.
- Precise server counts and processing capabilities are not publicly available.
- Memory and Storage:
- Each server needs sufficient memory and local storage to handle tasks efficiently.
- Server specifications vary based on their purpose (rendering, routing, search).
Network Bandwidth:
- User Requests:
- Billions of requests daily for map tiles, navigation, and POI searches.
- Assuming an average of 10 TB of data transferred per request, 10 TB * 1 billion requests = 10,000,000 TB or 10,000 PB of daily bandwidth.
Overall Capacity:
- Data Storage: Potentially several Exabytes (EB).
- 1 EB = 1,000 PB
- Servers: Millions globally.
- Network Bandwidth: Massive, spanning multiple continents.
Designing Google Maps | System Design
A web mapping tool called Google Maps offers a range of geographic data, such as street maps, satellite photos, streets’ aerial views, real-time traffic reports, and directions. There are several versions of it available, such as web, mobile, etc. In this article, we will see the system design of Google Maps
Important Topics for the Google Maps System Design
- What is Google Maps?
- Requirements for Google Maps System Design
- Capacity estimation for Google Maps System Design
- Why we use Quad Tree in Google Maps?
- Low -Level Design for Google Maps System Design
- High-Level Design of Google Maps
- System Design Diagram of Google Maps
- Database design of Google Maps System Design
- Scalability of Google Maps
- Microservices and API used for Google Maps
- Components Details of Google Maps