Mixpanel to Metabase

This page provides you with instructions on how to extract data from Mixpanel and analyze it in Metabase. (If the mechanics of extracting data from Mixpanel seem too complex or difficult to maintain, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)

What is Mixpanel?

Mixpanel is an advanced analytics platform for event-based data that collects data about how users interact with mobile and web applications. Mixpanel users can build robust funnel analysis using real-time data.

What is Metabase?

Metabase provides a visual query builder that lets users generate simple charts and dashboards, and supports SQL for gathering data for more complex business intelligence visualizations. It runs as a JAR file, and its developers make it available in a Docker container and on Heroku and AWS. Metabase is free of cost and open source, licensed under the AGPL.

Getting data out of Mixpanel

You can use the Mixpanel Export API to extract data about events and people from Mixpanel’s servers. Using the processes in the API documentation, you should be able to claim all the datasets you need.

Sample Mixpanel data

The API returns JSON-formatted data. Here's an example of the kind of response you might see when querying the event data.

{"event":"Viewed report","properties":{"distinct_id":"foo","time":1329263748,"origin":"invite",
"origin_referrer":"http://mixpanel.com/projects/","$initial_referring_domain":"mixpanel.com",
"$referrer":"https://mixpanel.com/report/3/stream/","$initial_referrer":"http://mixpanel.com/",
"$referring_domain":"mixpanel.com","$os":"Linux","origin_domain":"mixpanel.com","tab":"stream",
"$browser":"Chrome","Project ID":"3","mp_country_code":"US"}}

Loading data into Metabase

Metabase works with data in databases; you can't use it as a front end for a SaaS application without replicating the data to a data warehouse first. Out of the box Metabase supports 15 database sources, and you can download 10 additional third-party database drivers, or write your own. Once you specify the source, you must specify a host name and port, database name, and username and password to get access to the data.

Using data in Metabase

Metabase supports three kinds of queries: simple, custom, and SQL. Users create simple queries entirely through a visual drag-and-drop interface. Custom queries use a notebook-style editor that lets users select, filter, summarize, and otherwise customize the presentation of the data. The SQL editor lets users type or paste in SQL queries.

Keeping Mixpanel data up to date

At this point you've coded up a script or written a program to get the data you want and successfully moved it into your data warehouse. But how will you load new or updated data? It's not a good idea to replicate all of your data each time you have updated records. That process would be painfully slow and resource-intensive.

Instead, identify key fields that your script can use to bookmark its progression through the data and use to pick up where it left off as it looks for updated data. Auto-incrementing fields such as updated_at or created_at work best for this. When you've built in this functionality, you can set up your script as a cron job or continuous loop to get new data as it appears in Mixpanel.

And remember, as with any code, once you write it, you have to maintain it. If Mixpanel modifies its API, or the API sends a field with a datatype your code doesn't recognize, you may have to modify the script. If your users want slightly different information, you definitely will have to.

From Mixpanel to your data warehouse: An easier solution

As mentioned earlier, the best practice for analyzing Mixpanel data in Metabase is to store that data inside a data warehousing platform alongside data from your other databases and third-party sources. You can find instructions for doing these extractions for leading warehouses on our sister sites Mixpanel to Redshift, Mixpanel to BigQuery, Mixpanel to Azure Synapse Analytics, Mixpanel to PostgreSQL, Mixpanel to Panoply, and Mixpanel to Snowflake.

Easier yet, however, is using a solution that does all that work for you. Products like Stitch were built to move data automatically, making it easy to integrate Mixpanel with Metabase. With just a few clicks, Stitch starts extracting your Mixpanel data, structuring it in a way that's optimized for analysis, and inserting that data into a data warehouse that can be easily accessed and analyzed by Metabase.