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Cool project! We mainly use Metabase at GitStart and use the standard sharing options (https://www.metabase.com/learn/administration/guide-to-sharing-data#whom-
by 5mv2 4y ago
Cool project! We mainly use Metabase at GitStart and use the standard sharing options (https://www.metabase.com/learn/administration/guide-to-sharing-data#whom-are-you-sharing-your-data-with https://www.metabase.com/learn/administration/guide-to-shari...), so I'm wondering, would there still be a use-case for us? And how long do you think it would take to migrate a 100+ queries Metabase library?
- pea 4y agoThanks! If you are doing basic drag-and-drop BI queries on data you already have in a centralised warehouse, Metabase may be the best option for you. From what I can see from GitStart, Datapane will be useful if: 1) You want to go beyond BI and build applications that can actually run code. For instance, an internal tool that pulls down data from a new Developer's GitHub repo and rates them on some heuristics. 2) You want to create custom reports or dashboards for each client. For instance, for each customer you have, programmatically generate a custom report with data and plots which demonstrate ROI, and share it with them / embed in your product. You could even create a Slack bot where they could generate these on-demand. In terms of effort, it would be pretty trivial to port SQL queries to Python and use them to generate reports. Would love to help out if we can; I'm leo@{ourwebsite}.com