How does Mitzu compares to traditional product analytics?

The easiest answer to this question is that Mitzu never copy your data. Instead Mitzu executes native SQL queries in the company's data warehouse. This enables Mitzu to be very cost effective and secure for companies with vast amount of data.

How fast is Mitzu compared to traditional product analytics?

It really depends on the customer data warehouse or data lake. If those are correctly set up and generic SQL queries run fast enough for data analysts Mitzu created SQL queries will be just as fast.

Most of our customers that have events and users in the Millions have most of their insights ready real-time. For us this means in under 5 seconds. We also advice our customers how to organize their data so it is performant.

What other benefits warehouse native product analytics offer?

We often see with traditional product analytics such as Amplitude, Mixpanel or Heap that the timeframe they allow the users to see is limited to 12 or sometimes to 6 months only. This often overlooked when initially siding with a 3rd party tool and later becomes a huge burden. We don't have any limitations, we have customers that have up to 10 years of product usage data in their data lake. They are not limited what they can see.

Another benefit we see is the support for "virtual events". These are events that typically data analysts create in the data warehouse with DBT or similar modeling solution. Virtual events enable the customer to use product analytics for business intelligence, which is not really possible with 3rd party solutions.
An example for virtual events is the "Churn" event.
It is very hard to track this event in an app, while data analysts usually model this event in the data warehouse.

How secure is Mitzu?

As Mitzu never copies the company data we believe it is a great solution for companies where security matters. The customer can choose what to share with Mitzu with permissions in their own data warehouse.