PostgreSQL (Postgres) has been a popular choice for open-source database management system for some time now. Organizations have invested in it, and they benefit from it’s feature richness and strong ecosystem. Especially, in the context of artificial intelligence, the usage of Postgres as a vector database helps organizations to seamlessly transition from traditional RDBMS tasks to AI tasks.
In this context, despite offerings from many cloud platforms to deploy PostgreSQL on cloud-hosting basis, many of the Postgres installations are still on-premise, to leverage existing investments. So, for applications that will be developed on cloud, accessing the data from Postgres fundamentally becomes a question of On-premise-to-Cloud Connectivity. There can be many ways to achieve this connectivity. This blog will try to demonstrate one such technique from the perspective of an SAP BTP Python Application development.
PostgreSQL (Postgres) has been a popular choice for open-source database management system for some time now. Organizations have invested in it, and they benefit from it’s feature richness and strong ecosystem. Especially, in the context of artificial intelligence, the usage of Postgres as a vector database helps organizations to seamlessly transition from traditional RDBMS tasks to AI tasks.In this context, despite offerings from many cloud platforms to deploy PostgreSQL on cloud-hosting basis, many of the Postgres installations are still on-premise, to leverage existing investments. So, for applications that will be developed on cloud, accessing the data from Postgres fundamentally becomes a question of On-premise-to-Cloud Connectivity. There can be many ways to achieve this connectivity. This blog will try to demonstrate one such technique from the perspective of an SAP BTP Python Application development. Read More Technology Blog Posts by Members articles
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