If you’d like more technical resources to set up your data stack with Metabase, connect with a Metabase Expert. ![]() Developers guideĬontribute to the Metabase open source project! Data and Business Intelligence Glossary Source code repository on GitHubĪ list of all Metabase releases, including both the Enterprise Edition and the Open Source Edition. Metabase Cloudįor docs specific to Metabase Cloud plans. Some Metabase plans offer additional features. Learn Metabase has a ton of articles on how to use Metabase, data best practices, and more. Documentation for Metabase Cloud and Store.Customizing the Metabase Jetty webserver.Migrating to a production application database.Configuring the Metabase application database.Metabase is a deep product with a lot of tools to simplify business intelligence, from embeddable charts and interactive dashboards, to GUI and SQL editors, to auditing and data sandboxing, and more. Access datasets from magazines, newspapers, journals, press releases. With your data connected, get started asking questions, creating dashboards, and sharing your work. Access news data with our Nexis Metabase API to track negative media coverage and. Once installed, set up your Metabase and connect to your data. Run as a JAR, using Docker, or on Metabase Cloud. You can use Metabase to ask questions about your data, or embed Metabase in your app to let your customers explore their data on their own. ![]() Nevertheless thanks for making it open source and free to use, so don't get me wrong.Metabase is an open-source business intelligence platform. I strongly suggest to evaluate it thoroughly before counting on it. There might be some valid use cases for metabase, but I don't think it's very usable for non-technical users. no build-in way to export dashboards, which makes it nearly impossible to test your new metrics on a different system before pushing it to production if you really want to do this, you have to juggle with database dumps the UI contains many minor bugs which sometimes lead to unsavable metrics and you have just start from scratch ![]() this makes it far from "easy" to be used by "everyone in your company" (quotes from metabase marketing claim): you really have to know how to do things, even easy ones like changing labels confusing UI paired with lack of extensive documentation using the docker image is easy not so using the jar file especially due to very little documentation I made an attempt to use it in a customer project for creating very basic customizable dashboard-like statistics, with little to no success. I really wanted to like Metabase but unfortunately it's way behind its promise. ![]() It's better than Metabase, but not necessarily comparable to Ananas. Tableau can stand in for good ETL due to its join support in certain scenarios. Would recommend everyone try the public version to get a feel for it.ĮDIT: as others have said, Ananas is actually ETL + BI, whereas Metabase and Tableau are BI on top of a database. We ended up shelling out for Tableau - it's pricey at $840/yr, but it supports joins out of the box (it even has a drag-and-drop interface to set up joins!), has practically every bell and whistle you could ask for, and allows you to do "exploratory analysis over screenshare in realtime with non-technical colleagues, without context switching to a coding mindset or needing to look up field names you may never have used before." I think it's intuitive and worth every penny, but YMMV. and if you're writing SQL for your views, you might as well be writing SQL. My startup seriously evaluated Metabase, but inevitably you'll want joins, and Metabase is fundamentally opposed to the idea.
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