I like the below things most in PopSQL: 1) It is very user friendly. 2) The interface is very simple and easy to use. There is no unnecessary stuff which is not needed. 3) In a single application we can access to both Snowflake, DBT and many more. 4) Unline other applications we don't need to install Python, other python connector and create virtual enviroment. 5) We can create new GIT brances and change branches very easily.

Scheduling runs and CSV links for other workflows.

PopSQL has a user interface that's easy to navigate resembling the smooth experience of using Mac software. The ability to run Ad Hoc SQL analytics and share data is a game changer, for my team. I can effortlessly create queries to retrieve data, schedule tasks and share the results with my colleagues. This feature saves us time on tasks and empowers advanced users to access relevant data effortlessly. The option to organize SQL logic into folders and subfolders promotes an approach to saving and accessing code. It enhances our teams data literacy by facilitating collaboration reviewing code and sharing knowledge. I can connect PopSQL with production databases such as PostgreSQL, Databricks, Snowflake and BigQuery. This flexibility enables me to access and query data from sources while also performing checks for identifying any inconsistencies, between datasets.