Mitzu vs. Adobe Analytics

Using the power of warehouse-native product analytics

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Top 3 challenges Adobe Analytics users are facing

Limited ownership

Adobe stores and models your analytics data in its own system. You can export data, but it’s often costly and delayed.

Maintaining data consistency

Adobe’s metric and segmentation definitions live inside its platform and can be rigid or inconsistent across reports.

Less flexible ad-hoc analysis

Becomes limiting for deep exploratory analysis or cross-dataset joins without custom extracts.

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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.

Bar chart showing exponential growth of events from 7.2 billion to 56.6 billion with values labeled above each bar.

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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Adobe Analytics and Mitzu comparison

Comparative Analysis

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Integration and Infrastructure
Native warehouse support (Google BigQuery, Snowflake, Amazon Redshift, Databricks, Microsoft Fabric, ClickHouse, Presto, Amazon Athena, PostgreSQL); views, exports, CSVs.
Deep with Adobe suite (Campaign, Target, CDP); limited external flexibility.
Pricing Structure
Usage-based pricing supports growth without steep cost increases, with transparent, predictable rates.
Enterprise license; costly, complex tiers.
Data Accessibility
Analyze product, marketing, and financial data from your warehouse, leveraging front- and backend sources with unlimited historical access for comprehensive insights.
Adobe data access exists, but it’s not warehouse-first, it’s more complex, delayed, and constrained than warehouse-native analytics.
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?

Check out the guide

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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