Ship Product. Don't Build Pipelines.
Give Product Managers the self-service answers they need without maintaining brittle ETL pipelines or proprietary SDKs. Mitzu runs directly on your warehouse.
Simplified Analytics Architecture
No reverse ETL. No 3rd-party storage.
Your App
Backend / Frontend
Events
Warehouse
Snowflake / BigQuery
Query
Mitzu
Analytics UI
Reverse ETL
3rd Party Storage
Trusted by engineering teams worldwide
Built for Modern Data Stacks
Less boilerplate, more shipping. Technical benefits that make a real difference.
No SDK Bloat
Keep your app lightweight. We don't require a tracking SDK. We ingest the event logs you already collect in your backend or via Segment.
Governance as Code
Define metrics in dbt. Mitzu reads your schema definitions, ensuring the dashboard matches your source of truth.
Infinite Scale
Query petabytes of data without timeouts. Mitzu leverages the compute power of your warehouse to handle E-commerce Black Friday loads.
Security by Design
Data never leaves your VPC. Perfect for Fintech and Healthcare apps requiring strict SOC2 or HIPAA compliance.
Debug Production at Scale.
When traffic spikes during peak events (like Black Friday), you need real-time visibility. Correlate 'API Error Rates' with 'Checkout Failures' instantly.
- Real-time correlation of backend errors and user impact
- Query billions of events without sampling
- Identify root causes during traffic spikes
- Share dashboards with on-call engineers
Built from Visual Query Builder
Run Complex Joins without SQL.
Most analytics tools fail at complex joins (e.g., joining 'Search Logs' with 'Inventory Pricing'). Mitzu generates optimized SQL to handle massive travel/inventory datasets effortlessly.
- Visual query builder generates warehouse-optimized SQL
- Join multiple tables without writing code
- PMs can build queries; engineers can audit the SQL
- Full SQL transparency for debugging
How Mitzu Fits Your SDLC
A workflow that gets out of your way. Ship code, define models, let PMs self-serve.
Deploy
Ship code. Data lands in Snowflake/BigQuery.
Your existing event pipeline continues to work. No SDK changes needed. Events flow from your app to your warehouse as usual.
Model
Define logic in dbt (optional).
Use dbt to define your metrics and transformations. Mitzu reads your schema definitions and keeps dashboards in sync with your data model.
Self-Serve
PMs answer their own questions in Mitzu.
Product Managers get self-service analytics without bothering the data team. You focus on the roadmap while they explore the data.
<30min
Time to First Query
0
SDKs Required
100%
Data Stays in Your VPC
Frequently Asked Questions
Common questions from engineering teams about warehouse-native analytics.
Less boilerplate. More shipping.
Get started with warehouse-native analytics. Connect your data warehouse and empower your Product team with self-service answers.