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Flipkart + PostgreSQL Integrations

Syncing Flipkart with PostgreSQL is currently on our roadmap. Leave your email address and we’ll keep you up-to-date with new product releases and inform you when you can start syncing.

About Flipkart

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.

About PostgreSQL

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
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Connect Flipkart + PostgreSQL in easier way

It's easy to connect Flipkart + PostgreSQL without coding knowledge. Start creating your own business flow.

    Triggers
  • New Order

    Triggers when a new order occurred.

  • New Return

    Triggers when a new return occurred.

  • New Shipment

    Triggers when a new shipment occurred.

  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

    Actions
  • Create Product

    Create product listings in Flipkart’s Marketplace.

  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

How Flipkart & PostgreSQL Integrations Work

  1. Step 1: Choose Flipkart as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick PostgreSQL as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from Flipkart to PostgreSQL.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Flipkart and PostgreSQL

Flipkart?

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?

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.

Integration of Flipkart and PostgreSQL

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.

Benefits of Integration of Flipkart and PostgreSQL

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.

The process to integrate Flipkart and PostgreSQL may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.