Veeqo is a cloud-based inventory management solution designed for small and midsize e-commerce retailers. Primary features include order management, inventory control, shipping management, warehouse management, product management, scanning and reporting, and many more.
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.
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Triggers when a new customer is created.
Triggers when a new product is created.
Triggers when a new order is created with the status of "Ready to Ship".
Triggers when an order is shipped.
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
Creates a new customer.
Creates a new order.
Creates a new product.
Find an existing customer.
Adds a new row.
Updates an existing row.
Veeqo is a cloud-based inventory management platform that helps e-commerce vendors manage their inventories, pricing and promotions in real time. The platform is highly compatible with most popular e-commerce platforms including Magento, BigCommerce, Shopify, WooCommerce, Prestashop, OpenCart, Squarespace, Weebly and more. It has a user-friendly interface and a number of advanced features that include order fulfillment, multi-channel sales, product sourcing, multi-warehouse support and more.
PostgreSQL is a powerful database management system that supports a wide range of data types and data manipulation operations. It uses a relational database management system based on the SQL language. The database system was originally designed by the developers at the University of California at Berkeley to serve as a scalable replacement for the Oracle database. It is now completely open source and runs on a wide variety of platforms including Linux, UNIX, Windows and Mac OS X.
Veeqo is integrated with PostgreSQL using the PGroonga library. PostgreSQL acts as an online transaction processing (OLTP. database while Veeqo acts as an online analytical processing (OLAP. database. The two databases are connected via the pg_veeqo extension which offers real-time data synchronization between the two databases. This allows users to perform live analysis of their inventory data in-app. The extension also supports sending order notifications to PostgreSQL when products are spd or returned to stock.
By leveraging PostgreSQL, Veeqo is able to provide its customers with the fplowing benefits:
Data Security . PostgreSQL provides enterprise-level security measures while Veeqo boasts secure storage of sensitive customer information. Thus, all user data is kept safe from external threats.
Compatibility . Veeqo is compatible with multiple e-commerce platforms while PostgreSQL supports multiple database types including MySQL, Oracle and Microsoft SQL Server. Thus, seamless data exchange between business applications becomes possible giving customers increased flexibility in managing their businesses.
Cloud Optimization . Veeqo uses the cloud to offer its services while PostgreSQL offers plenty of cloud-compatible features including high availability, scalability and fault tperance. The integration of these two technpogies therefore improves the overall performance of the cloud-based inventory management spution.
All businesses need to store customer information safely during sales transactions. This ensures that they are able to keep their customers happy by maintaining the security of their personal information. Modern businesses also need to store transactional data in a manner that will allow them to quickly analyse it in real time. Hence, the integration of PostgreSQL with Veeqo provides customers with a robust e-commerce platform that can help them grow their businesses in today’s increasingly competitive market environment.
The process to integrate Veeqo 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.
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