Warehouse-Native Analytics

Don't Move Your Data. Just Query It.

The era of copying data to Amplitude or Mixpanel is over. Mitzu sits directly on top of Snowflake, BigQuery, and Databricks to deliver real-time product analytics without the ETL nightmares.

No Data Ingestion Required

Your Data Warehouse

Snowflake
BigQuery
Databricks
Redshift
Direct Query

Mitzu Analytics

0

Data Copies

100%

Data Ownership

<15min

Setup Time

Trusted by data-driven companies

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Why Warehouse-Native?

The Strategic Advantage

Stop moving data. Bring the analytics to the warehouse.

Single Source of Truth

Your warehouse is the truth. Mitzu queries it directly, meaning your 'Active User' count in the dashboard matches your internal BI reports exactly.

Total Data Privacy

Sensitive customer PII never leaves your secure VPC. We don't store your data; we just visualize it. Perfect for GDPR, HIPAA, and SOC2 compliance.

Instant Implementation

Skip the 6-month SDK tracking plan. If the data is in your warehouse, you can start analyzing it in Mitzu in less than 15 minutes.

Performance

Fast Dashboards. Low Compute Costs.

Direct query doesn't mean slow. Mitzu uses a smart intermediate caching layer to ensure that common queries load instantly without burning through your warehouse credits.

  • Intelligent caching for frequently accessed queries
  • Optimized SQL generation for fast execution
  • Minimal warehouse compute consumption
  • Real-time data freshness when you need it

Performance Analysis

Query Speed vs Compute Cost

Last 12 hours
Query Speed+85%
Compute CostFlat
Flexibility

Messy Data? No Problem.

Star schema? Snowflake schema? One giant flat table? Mitzu's semantic layer adapts to your data structure, so you don't have to re-engineer your warehouse for analytics.

  • Works with any data structure
  • Simple drag-and-drop column mapping
  • No warehouse restructuring required
  • Handles complex joins automatically

Semantic Layer

Map warehouse columns to Mitzu events

Warehouse ColumnMitzu Event
user_actions.type
Event Name
user_actions.created_at
Event Time
user_actions.user_id
User ID
users.plan_type
User Property
Star SchemaSnowflake SchemaFlat Table
Activation

Activate Your Warehouse Data.

Turn your warehouse into a Composable CDP. Build complex segments in Mitzu (e.g., 'High Churn Risk') and sync them back to your CRM or Ad platforms using Reverse ETL tools.

  • Build behavioral segments visually
  • Sync segments to Salesforce, HubSpot, and more
  • Power ad campaigns with warehouse data
  • Compatible with Hightouch, Census, and other Reverse ETL tools

Composable CDP Flow

Build segments and sync to your tools

Warehouse

High Churn Risk

1,247 users

Segment
Snowplow
Rudderstack
Hightouch
Segment
Activate
Reverse ETL Ready
Data Warehouse Integrations

Connect your data warehouse in 2 minutes

Mitzu connects directly to your existing data warehouse. No data movement, no ETL pipelines to maintain.

Snowflake
Databricks
BigQuery
Redshift
AWS Athena
Postgres
Trino
Firebolt
ClickHouse
Fabric

0

Data Copies Required

<15min

Time to First Insight

100%

Data Stays in Your VPC

Getting Started

Up and Running in Minutes

No complex implementation. No SDK rollout. Just connect and analyze.

Connect Your Warehouse

Connect Mitzu to your Snowflake, BigQuery, or Databricks just like any other BI tool. Read-only access is all we need.

1

Map Your Schema

Define your events and properties using our semantic layer. Works with any data structure you already have.

2

Start Analyzing

Run funnels, retention, and segmentation queries instantly. No SDK, no tracking plan, no waiting.

3
FAQ

Frequently Asked Questions

Everything you need to know about warehouse-native analytics with Mitzu.

Stop Moving Data. Start Analyzing.

Join the modern data stack revolution. Get warehouse-native product analytics that respects your data architecture.