Mitzu vs Amplitude

Using the power of warehouse-native product analytics

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Mitzu.io warehouse-native solution comparing Amplitude

Top 3 challenges Amplitude users are facing

Rising cost

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 various third-party data and analytics tools.

Business scale

Traditional tools like Amplitude 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

Connect Mitzu directly to your data warehouse to unlock more value without extra tools or complexity.

Reliable and accurate data

Eliminate data silos and align your team with a single source of truth by syncing directly with your data warehouse for simpler analytics and better governance.

Real-time insights, zero lag

Accelerate decision-making with direct warehouse data access, reducing time-to-insight and enabling swift responses to market changes.

Scale analytics without limits

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

‍100%
data accuracy and trust in reports
‍Fully
compliant with privacy and security standards
90%
cost reduction compared to third-party analytics
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Amplitude and Mitzu comparison

Comparative Analysis

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. 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
‍

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
‍

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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