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Pretty visualization (best in their class).

While Metabase translates everything to SQL, by default Tableau uses their in-memory datastore, making it more difficult to debug when things go wrong (you can't look at the SQL query to troubleshoot). Tableau dashboard Similarities/Differences to Metabase: Tableau was acquired by Salesforce in 2019. Tableau is considered the best tool when it comes to visualization (prettiness) as it's their primary focus.

Might not look as visually appealing as Metabase.

This makes analytics process more maintainable and streamlined.

#METABASE DOCKER CODE#

Analytics As-Code: lets you write code (DSL) to define your analytics logic, and check them into Git version control.

Cloud-based so it doesn't take time to setup.Have an in-built DAG-like transformation layer so that you can transform raw data into aggregated datasets before exploration.

Works well with non-SQL data sources as they offer a mini-ETL experience with common sources (MongoDB, Google Analytics, etc).

Business users can ask more sophisticated questions using their Explore interface.

A stronger data modeling layer that allows handling sophisticated raw data.

#METABASE DOCKER HOW TO#

End users who don't know how to write SQL are able to get the data they need very quickly and they're able to make more informed data decisions.

Metabase fits only at the visualization layer, Holistics offer additional ELT capabilities (data preparation).īoth technical and non-technical users can drag-and-drop the data fields without writing SQL.

Both are built on top of SQL querying engine and both offer a drag-and-drop experience for non-technical users.

This semantic layer allows non-technical users to create their own charts, without writing SQL. Holistics allows Data teams to define metrics once at the semantic (data modelling) layer, without repeating themselves or re-writing SQL queries. For more information on how Holistics work, check out the mechanisms. It works similar to Metabase in a way that it allows you to map your database tables into models and relationships, and expose this to the end business users to 'self-service explore'. Holistics is a nice BI alternative to Metabase. Top 4 Metabase Alternatives Overview of Metabase alternativesĪccessible to non-tech users: can users create their own charts without any help from the data team? At the end of the post we also include a list of tools that is only designed for technical users, SQL-to-chart translation. The below list of options are only tools that eventually offer a drag-and-drop interface to end users. So depending on your needs you might be able to pick the right option to replace, or use alongside with Metabase. In this post, we'll share with you a few alternative options to that, and tell you which pain points of Metabase each of these alternative addresses.

With Metabase, you can only work directly with your database tables because everything in Metabase is designed for simplicity.

If you have data from multiple sources, Metabase likely won't work well for you since it doesn't allow joining of data.

Metabase only works well with a single SQL data source.Have your business users ever found Metabase’s “Ask a question” too limiting for complex queries, and end up coming back to the analytics team to ask for custom reports?.Yet when your analytics needs grow, you might face some of these pain points when using Metabase:

#METABASE DOCKER INSTALL#

Metabase is a good, popular open-source BI tool that anyone can quickly install on your local environment to get a simple BI system up and running.Ĭhoosing the right BI tool for your organization can be extremely tricky, so we dedicate another article on this topic, check it out here: A Walk Down Business Intelligence Space Problems with Metabase Metabase Dashboard

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