Best Amplitude alternative

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

Offers rapid integration with top data warehouses, reducing developer workload for companies with warehouse-first approach.

Requires additional efforts and time for integration, potentially increasing operational complexity. Requires reverse ETL tooling to ensure up-to-date which leads to significant costs for larger companies.

Pricing Structure

Features usage-based pricing, accommodating business growth without disproportionately escalating costs. The pricing is transparent and predictable.

Initially affordable, but costs rise quickly as your monthly tracked user volume increases. This is especially challenging for b2c and freemium businesses who wish to track non-paying visitors as well.

Data Accessibility

You can analyze all kinds of data (product, marketing, or financial) if you store them in your data warehouse. You can leverage both front and backend data captured. It also provides unlimited access to your historical data, an essential feature for comprehensive analysis.

The focus is on product data only. This makes it extremely challenging (even if feasible) to bring in other kinds of data (eg. monetization). Data capture only works for front-end events. Limits access in basic plans, which can hinder long-term data analysis strategies.

Flexibility and Control

Ensures no vendor lock-in, allowing businesses to maintain flexibility and control over their data. Built with the mindset that clients should be able to change their product analytics tooling as they see fit. No vendor lock-in as you store the data within your data warehouse.

Requires sending user data to its servers, which can limit flexibility and control over data. Setting up and launching is usually relatively easy but you often hit walls beyond a certain volume.

Analytical Transparency

Beyond being able to access all your event data, it also allows you to tweak your analysis further. It offers an open environment where users can see and verify the SQL queries, enhancing trust and understanding.

Standard analysis is usually fairly straightforward but once you hit a wall, it’s challenging to deep further. Thus it’s less transparent, often requiring external support to address data issues.

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