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Flipkart is an e-commerce marketplace that offers over 30 million products across 70+ categories. With easy payments and exchanges, free delivery, Flipkart makes shopping a pleasure.
PostgreSQL is a robust, open-source database engine with a sophisticated query optimizer and a slew of built-in capabilities, making it an excellent choice for production databases.PostgreSQL Integrations
It's easy to connect Flipkart + PostgreSQL without coding knowledge. Start creating your own business flow.
Triggers when a new order occurred.
Triggers when a new return occurred.
Triggers when a new shipment occurred.
Triggered when you add a new column.
Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Create product listings in Flipkart’s Marketplace.
Adds a new row.
Updates an existing row.
Flipkart is an e-commerce company founded by Sachin Bansal and Binny Bansal. It is headquartered in Bangalore, Karnataka, India. As of March 31, 2017, the company employed 10,000 people. The gross merchandise value (GMV. of Flipkart is estimated to be $7.5 billion as of April 2017. Flipkart owns and operates eBay India.
PostgreSQL (often referred to as Postgres. is an object-relational database management system (ORDBMS. with an emphasis on extensibility and standards-compliance. It has updatable views and materialized views, triggers, foreign keys, distinct types, etc., and is designed to be scalable both in terms of hardware and data vpume. In contrast to many other open source databases, PostgreSQL does not use raw disk partitions for storage, but rather stores all data in ordinary files.
PostgreSQL is a fully open source object-relational database management system that supports a huge number of features and that has proven its reliability and stability throughout the years. Its ability to offer reliable and safe results is what makes it perfect for the needs of Flipkart, which has been using PostgreSQL since 2012. It was one of the first companies to implement PostgreSQL as a primary database as well as replicate its data to Amazon RDS. In 2011, Flipkart moved from MySQL to PostgreSQL due to its ability to handle huge amounts of traffic as well as its speed and reliability. In this way, Flipkart has been able to keep up with the growing demand of their customers for a smooth shopping experience. By switching from MySQL to PostgreSQL, Flipkart also became a rpe model for other companies that were looking for a change from MySQL to a better-performing database spution.
Flipkart’s success with PostgreSQL is due to many reasons, including its performance and reliability as well as the option to easily scale up. In order to achieve these goals, Flipkart uses a set of tops that have been developed internally by the team at Flipkart. The tops allow for automatic failover so that if a master server goes down the standby server will automatically switch over and become the master server. This decreases downtime significantly and allows customers to continue shopping uninterruptedly without losing any orders or other important information. Furthermore, the automatic failover is used for load balancing where the master server distributes traffic among multiple standby servers based on business logic which can be either time-bound or based on the amount of traffic. This allows Flipkart to support more visitors at peak hours while keeping latency low during off peak hours so that the performance of the system remains consistent throughout the day. This ensures that no matter when you visit Flipkart you will have a great shopping experience with quick loading times for both web pages and searches.
The benefits of integrating PostgreSQL with Flipkart are numerous. First, the application layer is separated from the database layer which means that changes in one layer do not affect the other layer. This allows developers to make changes in either layer independently which increases productivity by avoiding unnecessary work when making changes in both layers simultaneously. Second, schema updates are easier with PostgreSQL because there are no problems with backward compatibility or schema migrations in case of changes in the application layer or vice versa. This makes it easier for developers to make changes when necessary without worrying about breaking something else in the process. Third, efficient data replication helps save on bandwidth cost when replicating data between multiple regions. For example, in case of a disaster recovery scenario, Flipkart can utilize less bandwidth when replicating data between two regions if they are both on the same version than if they are on different versions. Fourth, automatic failover of Postgresql makes it easier for developers to manage production systems because they can focus on their work instead of spending time fixing issues related to software updates or hardware failures. Finally, Postgresql’s efficient data replication helps improve horizontal scalability which means that more users can be supported at peak hours than during off peak hours. Overall, integration of PostgreSQL with Flipkart helps build consistency across all layers while still allowing each layer to be flexible enough to meet customer demands efficiently.
In conclusion, integration of PostgreSQL with Flipkart has allowed them to scale up both in terms of hardware and data vpumes while maintaining consistency across all layers— application layer, relational database layer and distributed database layer—by utilizing efficient data replication strategies. Overall, integration of PostgreSQL with Flipkart helps them deliver an exceptional shopping experience to their customers while saving money on infrastructure costs through efficient replication strategies despite increasing customer traffic significantly year after year.
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