Mitzu vs Mixpanel

Using the power of warehouse-native product analytics

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Mitzu.io warehouse-native solution comparing Mixpanel

Top 3 challenges Mixpanel users are facing

Rising costs

The rising cost of third-party analytics tools like Heap, Amplitude or Mixpanel.

Maintaining data consistency

The challenges of maintaining data consistency when using a countless different third-party data and analytics tools.

Business scale

Traditional tools like Mixpanel have paved the way in product analytics, but they often fall short when businesses scale and data complexity increases.

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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.

Scale analytics without limits

Grow your analytics capabilities as your data volume increases, eliminating duplication and reducing infrastructure costs.

90%
cost reduction compared to third-party analytics
Unlimited
monthly tracked users
100%
accuracy and trust in reports
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Mitzu and Mixpanel comparison

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Integration and Infrastructure
Rapid integration with your data warehouse, minimizing developer workload.
Needs extra integration effort and reverse ETL tooling, increasing complexity and costs for larger companies.
Pricing Structure
Usage-based pricing supports growth without steep cost increases, with transparent, predictable rates.
Initially affordable, but costs rise quickly with user volume especially challenging for B2C and freemium businesses tracking non-paying visitors.
Data Accessibility
Analyze product, marketing, and financial data from your warehouse, leveraging front- and backend sources with unlimited historical access for comprehensive insights.
Focuses solely on product data, making other data types (e.g., monetization) hard to integrate. Captures only front-end events and limits access in basic plans, hindering long-term analysis.
Flexibility and Control
No vendor lock-in, data stays in your warehouse, giving you full flexibility to change analytics tools anytime.
Requires sending data to its servers, reducing flexibility; easy to start but hits limits at higher volumes.
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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