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Mozart Data
The fastest way to set up a modern data stack without engineering resources.
What it does
Automates ETL pipelines from 500+ sources into a central warehouse. Provides a managed Snowflake data warehouse as part of the platform. Includes a SQL-based transformation layer to clean and model data. Features data monitoring and alerting to ensure pipeline reliability. Allows for easy data export to BI tools like Tableau, Looker, and Metabase.
Why it works
Speed: Can spin up a professional-grade data stack in under an hour. No-Code/Low-Code: Removes the technical barrier to building custom data pipelines. Support: Provides award-winning data analyst support to help users model their data. Scalability: Built on Snowflake, allowing it to grow with the business's data needs.
Category: Utilities & System Tools
Team Size: 11-50
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As of 2026
Utilities & System Tools
Revenue: $1M-$10M ARR
The fastest way to set up a modern data stack without engineering resources.
Overview
Mozart Data is an all-in-one data platform that simplifies the process of centralizing, organizing, and analyzing data. It provides an out-of-the-box data stack including ETL, a data warehouse (powered by Snowflake), and transformation tools. It is designed to empower analysts and operators to manage their own data infrastructure without needing a dedicated data engineering team.
Funding status: Funded
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: Python, SQL, Snowflake, AWS
Platform: Web
Integrations: Snowflake, Fivetran, Google Analytics, Salesforce, Shopify, Hubspot
Founder story
Founded in 2020 by Peter Fishman and Dan Silberman in San Francisco. Peter, a former head of data at Yammer and Opendoor, realized that every startup was wasting months rebuilding the same data infrastructure. He teamed up with Dan to build a platform that automates that 'plumbing' so teams can focus on insights.
What it does
- Automates ETL pipelines from 500+ sources into a central warehouse
- Provides a managed Snowflake data warehouse as part of the platform
- Includes a SQL-based transformation layer to clean and model data
- Features data monitoring and alerting to ensure pipeline reliability
- Allows for easy data export to BI tools like Tableau, Looker, and Metabase.
Who it's for
- Data Analysts
- Operations Managers
- Early-stage Startups
- E-commerce Brands
Why it works
- Speed: Can spin up a professional-grade data stack in under an hour
- No-Code/Low-Code: Removes the technical barrier to building custom data pipelines
- Support: Provides award-winning data analyst support to help users model their data
- Scalability: Built on Snowflake, allowing it to grow with the business's data needs.
Growth strategies
- Targeted Y Combinator startups needing an instant data stack (Alumni of YC S20).
- Positioned as a 'Data Engineer in a Box' for companies with lean technical teams.
- Raised $15M Series A led by Craft Ventures to accelerate product development.
- Built a strong partnership network with Snowflake and Fivetran.
Alternatives
Comparison overview
- Fivetran: Fivetran is just the ETL layer; Mozart provides the ETL AND the warehouse.
- Airbyte: Open-source and requires hosting; Mozart is a fully managed SaaS experience.
- Mozart Data is the best choice for teams that want a data stack that 'just works' without hiring an engineer.