Azure Database for PostgreSQL Reviews

We are building enterprise solutions mainly across healthcare but also in other industries like retail and financial services.

PostgresSQL is acknowledged as an incredibly powerful industry leader. We've built critical pieces of national infrastructure in the UK that rely on Postgres. A version of Postgres on Azure that's easy to adopt enables us to innovate. The addition of AI extensions is even more exciting. It's a significant opportunity for us.

While we haven't implemented any AI features yet, we believe that will help our development because of the platform's simplicity. The ability to write code and deploy applications using standard Azure principles will be a game changer, simplifying integration and deployment. 

We're a managed service provider using Azure Database for PostgreSQL to deliver services to 300 customers, so there are potentially 300 different use cases. We use it as a normal database instead of MySQL or Azure SQL because PostgreSQL performs well, especially with the flexible server. 

We do many things in the cloud with Kubernetes containers, and our customers can use a containerized version of Postgres. We abstract it so that it runs in Azure itself instead of being part of the Kubernetes cluster. It makes sense to go from Postgres to Postgres.

Our organization's database uptime has improved after implementing Azure Database for PostgreSQL, particularly with the flexible server's redundant configuration capabilities, which allow for failovers and read-only configurations. This results in greater resilience and uptime for end customers.

Our primary use cases of PostgreSQL are migrations for our customers. We specialize in Oracle to Postgres migrations. We offer customers the potential advantages and cost savings of migrating to Postgres.

Postgres has helped us innovate and stay competitive. It has dramatically reduced our application development time, improving our efficiency by about 40 percent. It has cut costs by about 60 percent compared to on-premises applications. 

We have turned on pgvector, which is an extension for the vector search. We use PostgreSQL as the RAG database for the Gen AI application.

We use it as a RAG database. It coordinates our chunks and connects them with the embedded model to organize them into high-dimensional space. The performance of our RAG application is very good. We have 96% satisfaction.

It facilitates AI technology adoption by coordinating chunks and connecting them with the embedded model.

We are a bank. Our information is mainly stored in a SQL database. Azure Database for PostgreSQL offers a way for our colleagues to quickly understand vector search by using the combination of RDB and the vector search extension. This means we do not have to learn vector databases at the beginning. We can just turn on the extension, and it has the vector search right away.

It helps us to retrieve the context. I use it a lot. It is easy to execute an SQL query.

It offers an easy vector search, which is helpful, but does not offer knowledge graph functionalities.

At a prior agency, we used the solution primarily for reporting, incident situation awareness, and providing public information regarding different safety programs. It's used for general information sharing within the public domain, and it is nothing too complicated or in-depth.

We don't need to worry about maintenance or updating servers. My use case is querying the data, so it doesn't affect me much. It's a lot easier to leverage other Microsoft technologies outside of our network.

I use it as a relational database in a couple of our products as the back-end relational solution.

Backups are easy, resizing is quick, and the query analyzers help me find out what's happening in each of the queries. Those are the good features.

I am an administrator and infrastructure guy, using PostgreSQL as our database for various applications like ControlM and some homegrown applications. It's used internally for other teams.

PostgreSQL was chosen because it can reside locally on the same server, removing the need to involve a database team. It is also self-maintained, which is a significant advantage. We use PostgreSQL to speed up application development. Our applications are ready sooner because we don't need to depend on other database teams.