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.

As a developer, I love PopSQL's scratchpad. Very clean interface to write queries and see results on the right of the screen. It also shows you results from previous runs of queries. You can write multiple queries and it only runs the one where your cursor is. I love this because I haven't deleted any of my old queries and can quickly grab and reuse them.<br><br>The Slack integration is very neat. You can easily set it up to run queries every x minutes and notify you in Slack if rows are returned or not. This has been extremely useful in monitoring our DB for unexpected states.<br><br>Collaboration works similar to Google docs. Works as you would expect.<br><br>Some of my coworkers use it to create charts and other visualizations which look pretty nice too.