Metabase vs Mixpanel: What are the differences?
Developers describe Metabase as "An open-source business intelligence tool". Metabase is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating. On the other hand, Mixpanel is detailed as "Actions speak louder than page views". Mixpanel is an advanced analytics service that helps improve web and mobile applications by tracking how users interact & engage with them.
Metabase and Mixpanel are primarily classified as "Business Intelligence" and "Funnel Analysis Analytics" tools respectively.
"Database visualisation" is the primary reason why developers consider Metabase over the competitors, whereas "Great visualization ui" was stated as the key factor in picking Mixpanel.
Metabase is an open source tool with 15.4K GitHub stars and 2.05K GitHub forks. Here's a link to Metabase's open source repository on GitHub.
According to the StackShare community, Mixpanel has a broader approval, being mentioned in 1835 company stacks & 192 developers stacks; compared to Metabase, which is listed in 82 company stacks and 16 developer stacks.
What is Metabase?
What is Mixpanel?
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I am using Mixpanel in a Saas App, it's the most advanced analytics platform ever. I have used similar products in the past and Mixpanel beats every other product out there.
The main feature I like is the funnels, which give some actionable insights regarding my product, I was able to make feature decisions based on this. I was even able to make critical decisions regarding the work flow.
Also now with their People feature , I am able to automate email notification based on users activity.
Using Mixpanel to track events tells me what language users are switching to, what the most popular themes are and how often users are starting video chats. It also gives me a tool to experiment quickly with "fake" buttons and see if users click them. This enables me to validate the need for new features before fully building them out.
Used to gather metrics in Coolfront Mobile for "Charlie" (Flat rate search engine) search behaviors (e.g. How end users are searching and finding repairs). Results from data are then used to "train" search engine to become "smarter".
Mixpanel API is integrated to the Flutter app to track the events in real time. It helps to analyze the user's behavior in the app and see if the application and its features are intuitively clear to the users.
Used to run internal reports and analytics on Coolfront Mobile data.