Scalable eCommerce with MongoDB database

In the current situation on the market, each site is very rich in content. Online stores offers hundreds of products that have a lot of content, pictures and each customer left milions of geographically information. eCommerce softwares are facing a big challenge of processing massive amounts of data.

Existing problems

- Slow site with massive data about users, information, traffic.

- Inelastic SQL schema makes an application inefficient.

- SQL is not suitable for linear scalability to support massive amount of data.

- Complex models and Entity–Attribute–Value database design leads to less flexibility.

- A key element in the ecommerce scalability is related to databases

How it works in eCommerce

- With dynamic scalability MongoDB is the best fit for massive spikes in usage during seasonal swings.

- Increasing content and data, rules and analytics, social media content require scalable architecture, which is need of nowadays Ecommerce.

- Ecommerce has a lot of temporary data such as shopping carts, information about session, MongoDB is the best for this kind of projects.

- Major priority for any ecommerce store should has an architecture designed to handle the growing user base.

Key aspects in MongoDB implementation

- No more relational complexity

- Flexible

- Best suited for dynamic eCommerce operations

- Best for read-heavy scenarios

- Scalable, efficient architecture

- Strong, free community support

- Imprvoed performance and high availability

- Cost effectiveness