Components Details of Google Maps

  • Map Server:
    • The map data must be stored and served by the map server. Usually, a distributed file system like Google Cloud Storage is used to store the map data. To efficiently serve the map data, the map server employs a number of strategies, including load balancing and caching.
  • Routing Service:
    • The routing service is in charge of figuring out the most efficient path between two points. Numerous factors, including user preferences, road types, and traffic conditions, are taken into consideration by the routing service. The routing service employs a number of algorithms, including Dijkstra’s algorithm and A* search, to determine the optimal path.


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

Similar Reads

What is Google Maps?

Google Maps is a web mapping service developed by Google. It offers satellite imagery, aerial photography, street maps, 360° interactive panoramic views of streets (Street View), real-time traffic conditions, and route planning for traveling by foot, car, bicycle, or public transportation....

Requirements for Google Maps System Design

Functional Requirements for Google Maps System Design...

Capacity estimation for Google Maps System Design

Data Storage:...

Why we use Quad Tree in Google Maps?

Google Maps doesn’t actually use a pure quad tree for its overall data structure. However, it utilizes concepts similar to those used in a quad tree within certain functionalities. Here’s why:...

Low -Level Design for Google Maps System Design

...

High-Level Design of Google Maps

Google Maps’ low-level design with illustrative images:...

System Design Diagram of Google Maps

The high-level design’s components are described in detail in the low-level design, with an emphasis on their functions and interactions....

Database design of Google Maps System Design

A system such as Google Maps needs to be carefully designed with many different components and their interactions in mind. This is a high-level system design overview :...

Scalability of Google Maps

A distributed database architecture is used by Google Maps to provide scalability and reliability. For real-time analytics, they might use Bigtable on Google Cloud, and for structured data, they might use Cloud SQL, a relational database which is already mention in System Design diagram....

Microservices and API used for Google Maps

One extremely scalable system is Google Maps. It employs a number of strategies, such as the following, to manage numerous concurrent users and requests:...

Components Details of Google Maps

The architecture of Google Maps is based on microservices, with each component implemented as a separate microservice. This enables us to swiftly roll out new features and scale each component independently....