The Warehouse-Native Alternative to Amplitude.
Stop paying to store your data twice. Amplitude forces you to copy data into their black box. Mitzu queries your Warehouse directly for 100% unsampled accuracy at a fraction of the cost.
The Difference
Zero Data Movement
Data Silo
24h+ sync delay
Warehouse-Native
Live queries
Your data stays in your warehouse
Trusted by companies worldwide
The Measurable Advantage
Quantifiable wins when you switch to warehouse-native analytics.
Lower Total Cost of Ownership
No double storage fees
Data Latency
Live query vs. 24h sync delays
Unsampled Events
Analyze billions of rows without limits
Scale analytics without limits
Grow your analytics capabilities as your data volume increases, eliminating duplication and reducing infrastructure costs. Unlike Amplitude's event-based pricing, Mitzu lets you track everything without cost surprises.
Modern Data Stack vs. Legacy Silo
See why warehouse-native analytics eliminates the complexity and cost of traditional tools like Amplitude.
Legacy SiloCloud (Data Copy)- Data copied to proprietary cloud
- 24h+ sync delays
- Sampling at high volumes
- Complex reverse ETL required
Warehouse-Native- Data never leaves your warehouse
- Zero latency with live queries
- 100% unsampled accuracy
- No reverse ETL needed
Feature-by-Feature Comparison
A comprehensive breakdown of how Mitzu and Amplitude compare across all key capabilities.
| Features | Mitzu | Amplitude |
|---|---|---|
| Architecture & Data | ||
Data Storage Where your analytics data lives | Your Warehouse (Snowflake/BigQuery/Databricks) | Proprietary Cloud |
Warehouse-Native Query data directly without copying | ||
Data Freshness How quickly data is available for analysis | Real-time (Live Queries) | 24h+ Sync Delays |
Data Sampling Whether data is sampled at high volumes | 100% Unsampled | Sampled at Scale |
Reverse ETL Required Need pipelines to get data out | ||
| Product Analytics Features | ||
Funnel Analysis Track user conversion through multi-step flows | ||
Retention Analysis Measure user retention over time with cohorts | ||
User Segmentation Segment users by behavior and properties | ||
Customer Journey Mapping Visualize complete user journeys | ||
Cohort Analysis Analyze groups based on shared characteristics | ||
Event Trends Track event metrics over time | ||
User Lookup Search and view individual user profiles | ||
| Pricing & Cost | ||
Pricing Model How you're charged for the platform | Platform-based (Predictable) | Event Volume (Scales with Usage) |
No Event Volume Limits Track unlimited events without cost increase | ||
No Data Storage Fees Data stays in your warehouse | ||
Predictable Costs at Scale Costs don't explode as you grow | ||
| Data Governance | ||
dbt Integration Sync metrics from dbt models | ||
SQL Transparency View underlying SQL for all queries | Paid Add-on | |
Metric Definitions How metrics are managed | Inherited from Warehouse/dbt | Separate Taxonomy |
Single Source of Truth Same data as your BI and engineering teams | ||
| Implementation & Setup | ||
Time to Value How long to get started | 15 Minutes | Weeks to Months |
SDK Implementation Requires client-side SDK setup | Not Required | Required |
Self-Hosted Option Deploy on your own infrastructure | ||
Works with Existing Data Use historical warehouse data immediately | ||
| Privacy & Security | ||
Data Never Leaves Warehouse Your data stays in your infrastructure | ||
GDPR Compliant Built for privacy regulations | ||
SOC 2 Type II Enterprise security certification | ||
Row-Level Security Control data access at the row level | Inherited from Warehouse | |
No Vendor Data Lock-in Keep full control of your data | ||
| Dashboards & Reporting | ||
Dashboard Creation Build custom dashboards | ||
SQL Editor Write custom SQL queries | Paid Add-on | |
Scheduled Reports Automated report delivery | ||
Slack/Email Alerts Get notified on metric changes | ||
Embeddable Charts Embed analytics in other tools | ||
Stop Paying for Event Volume.
Amplitude penalizes you for growing. Every new event costs money. Mitzu charges for the platform, not the data volume, so you can track everything.
- No event-based pricing surprises
- Track billions of events at the same cost
- Pay for compute, not data storage duplication
- Predictable monthly costs as you scale
dbt Model
Mitzu UI
Governance by dbt, not Manual Tagging.
Amplitude requires a dedicated "Taxonomy Manager" to keep data clean. Mitzu reads your dbt models directly, keeping metrics consistent with your BI team.
- Inherit definitions from your dbt models
- Single source of truth for all teams
- No manual taxonomy management
- Changes propagate automatically
No Reverse ETL Required.
To get data out of Amplitude, you need complex Reverse ETL pipelines. With Mitzu, the data never left your warehouse in the first place.
- No data pipelines to build or maintain
- Access your data from any tool
- No sync delays or stale data
- Full SQL access to underlying data
With Amplitude
With Mitzu
Data never left your warehouse. No pipelines to maintain.
Switch in an Afternoon.
Since you already have data in your warehouse, you don't need to reinstall SDKs. Just connect Mitzu to your tables and start analyzing historical data immediately.
Connect Your Warehouse
Point Mitzu to your Snowflake, BigQuery, or Databricks instance.
Configure Your Events
Map your existing event tables to Mitzu's analytics model.
Start Analyzing
Query historical data immediately. No SDK changes required.
Frequently Asked Questions
Everything you need to know about switching from Amplitude to Mitzu.
Ready to break free from the data silo?
Join modern data teams who've switched to warehouse-native analytics. Book a demo to see how Mitzu compares to Amplitude for your specific use case.