Mitzu vs GA4

Using the power of warehouse-native product analytics

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Top 3 challenges Google Analytics users are facing

Rigid metric definitions

GA4 uses fixed definitions for users, sessions, and engagement that you can’t fully customize.

Limited data ownership

GA4 data is collected and modeled by Google first. Even with BigQuery export, you’re constrained by GA’s event schema.

Constraints on advanced analysis

GA4’s UI limits complex funnels, cohorts, and segmentation. Deeper analysis usually requires exporting elsewhere.

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Why warehouse native analytics matters

Leverage existing data infrastructures

Using the data directly from the warehouse warehouse streamlines operations and optimizes resources without added complexity.

Offer unparalleled data cohesion

This ensures that all data sources are integrated seamlessly, allowing for comprehensive analysis and insights across the entire dataset without fragmentation or inconsistency.

Cost efficient

Warehouse-native analytics save costs by using existing infrastructure, avoiding the need for separate tools and reducing duplicate expenses.

Funnels, segmentation, journey, retention

Ensure non-technical teams to create insights directly from the data warehouse. No SQL, no duplication, and full traceability from data to decision.

Full
autonomy for non-technical teams
50-100
insights per team per day
100%
accuracy and trust in reports
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Bar chart comparing user numbers by platform for iOS (pink), Android (orange), and Web (red) across three categories: Page View with 72M, 56M, and 109M users; Search with 35M, 29M, and 31M users; Checkout with 11M, 13M, and 12M users respectively.
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Mitzu and Google Analytics comparison

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Integration and Infrastructure
Rapid integration with your data warehouse, minimizing developer workload.
Data stored and processed by Google; subject to Google’s privacy policy and cross-border transfer policies.
Pricing Structure
Usage-based pricing supports growth without steep cost increases, with transparent, predictable rates.
Free tier with limits; GA4 360 + BigQuery = high cost.
Dashboards
Mitzu dashboards offer real-time, drag-and-drop insights with auto-generated SQL, embeddable in Notion or Miro, and exportable as needed.
Feature pre-set visualizations, attribution panels, and standard Ecommerce/Acquisition/Realtime reports.
Flexibility and Control
No vendor lock-in, data stays in your warehouse, giving you full flexibility to change analytics tools anytime.
Data is stored in Google Cloud, under Google’s control.
Analytical Transparency
Provides full event data access and lets you tweak analyses, with open SQL queries for transparency and trust.
Standard analysis is easy initially but becomes challenging at deeper levels, often needing external support due to limited transparency.
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How to get started?

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Collect data
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Ingest your first and third party data to your data warehouse. If you don't yet have a data warehouse we can help you get started.

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Setup Mitzu
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Connect Mitzu to your data warehouse just as any other BI tool. List your facts and dimensions tables.
Create an events and properties catalog.

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Start making better decisions faster

Start learning valuable insights with a few clicks only. No need to know SQL. Collaborate with your team on key business questions.

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