For this particular scenario, I had real-time applications. I was taking care of one product, which was an e-commerce product. MongoDB is generally used for real-time applications. I used it for chat, notifications, live dashboards, accessing the product catalog, customer profiles, carts, and orders. These are the key things I used because it was a real-time e-commerce platform. That's why I went for MongoDB, as it's a strength for real-time applications and e-commerce. It also helps in gaming, but I was not taking care of a gaming product altogether. It was e-commerce. In my case, it was very exclusively utilized for the e-commerce platform. Integration capability is pretty much strong. It integrates properly and easily with the REST APIs and different native applications such as Java and .NET. Even with the real-time event queue, I was using Kafka. For the real-time event streaming, in my case, it was completely real-time. There is no problem in connectivity.
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For this particular scenario, I had real-time applications. I was taking care of one product, which was an e-commerce product. MongoDB is generally used for real-time applications. I used it for chat, notifications, live dashboards, accessing the product catalog, customer profiles, carts, and orders. These are the key things I used because it was a real-time e-commerce platform. That's why I went for MongoDB, as it's a strength for real-time applications and e-commerce. It also helps in gaming, but I was not taking care of a gaming product altogether. It was e-commerce. In my case, it was very exclusively utilized for the e-commerce platform. Integration capability is pretty much strong. It integrates properly and easily with the REST APIs and different native applications such as Java and .NET. Even with the real-time event queue, I was using Kafka. For the real-time event streaming, in my case, it was completely real-time. There is no problem in connectivity.