Here, we introduce The South Carolina Psycholinguistic Metabase (SCOPE), which is a metabase (or a meta-database) containing an extensive, curated collection of psycholinguistic variable values from major databases. The proliferation of lexical variables, and the multitude of associated databases, makes the choice, comparison, and standardization of these variables in psycholinguistic research increasingly difficult. Therefore you’ll want to do some collaborative requirements gathering with stakeholders to ensure Metabase can provide the visualizations you’re looking for out of the box.The number of databases that provide various measurements of lexical properties for psycholinguistic research has increased rapidly in recent years. Although Metabase makes it easy to get started and explore, depending on your KPIs, you may find other tools provide the visualizations your particular business needs.Īnd finally, Metabase is a community driven project and it improves consistently with every release, however some aspects of Metabase may be behind more expensive competitors. I’ll also emphasize that to use Metabase effectively, you must already know what metrics you want to track. First, it has only 22 official data source drivers available while other tools like Tableau have up to 300. There are some things to consider before deciding if Metabase is the right tool for you. Metabase is fast and open source and has flexible costs the tool itself is free and you can decide how much you want to spend on hosting. – Share/Download results as XLS, JSON or CSVĪ powerful feature is the ability to easily share the results of a query as JSON with other services for further processing. – Share dashboards (you could have it working as an iframe inside your application or you could have just a link that you can share) – Alert over Slack (You could built a daily report that would show on slack) – Alerts over email (you could for example trigger an email when you got less than X new users on a day) You can find the community supported drivers here.Īnother interesting feature of Metabase is that it supports multiple engines (SQL, NoSQL or services like Google Analytics) that you can combine to create your own integrated dashboards.Ī few other features that this tool offers: There are also other drivers that support more databases but aren’t officially released. If you don’t see your particular driver for your datastore, there’s still hope. – MySQL (version 5.7 or higher, as well as MariaDB version 10.2 or higher) – Google Analytics (version 3 if you’re interested in support for version 4, let us know by adding your +1 to this issue (#12905)) Metabase officially supports these databases: You can manage Metabase on Heroku, AWS, Kubernetes, or you can use a hosted service like Metabase Cloud which will maintain the service for you so that you don’t need to care about the hosting details. Metabase offers connections to multiple data sources and allows the user to create appealing dashboards using illustrative visualization objects. Metabase is a great tool for that purpose. Wouldn’t it be much easier if stakeholders had the tools to answer all their business questions themselves? I’ll also describe how to enable teams to do their own data analysis. In this article I’m going to show how I’ve equipped stakeholders with interesting and attractive real time data. Static reports fail to answer additional questions that arise. It’s common that stakeholders want to show stats to investors, unfortunately stakeholders often have to interrupt developers to compile a one off data report but one off static reports have a significant disadvantage. If a startup isn’t looking at its business data, that startup will probably fail. However, eventually people become interested in analyzing business data and they are especially interested in self service data analysis. These technical decisions are probably something that end users don’t care much about, at least not initially. As engineers sometimes we must make architecture decisions like whether to use SQL or NoSQL DB.
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