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Brief
Mozart Data

Mozart Data

Data Infrastructuremozartdata.com

Mozart Data provides an all-in-one managed data platform that eliminates the complexity of building and maintaining a modern data stack, enabling businesses to centralize, transform, and analyze their data without hiring data engineers.

Last updated May 11, 2026

Founded
2020
HQ
San Francisco, California, United States
Connections
12

At a glance

Employees
11-50
Funding
$15.3M
12integrations

About

Emerging player in the managed data platform space targeting companies seeking simplified data stack solutions

Mozart Data is a data infrastructure company that provides an integrated data platform designed to simplify data operations for growing businesses. The platform combines ETL (Extract, Transform, Load) capabilities, a cloud data warehouse powered by Snowflake, and data transformation tools into a unified solution. While not strictly an AdTech company, Mozart Data serves the broader MarTech and data analytics ecosystem, enabling marketing and advertising teams to centralize and analyze their campaign data, customer interactions, and performance metrics without requiring extensive data engineering resources. Founded to democratize access to modern data infrastructure, Mozart Data targets small to mid-sized businesses that need enterprise-grade data capabilities but lack the resources to build and maintain complex data stacks. The platform automates many of the technical complexities associated with data warehousing, making it accessible to companies with limited technical staff. By providing pre-built connectors to popular marketing and advertising platforms, Mozart Data enables businesses to consolidate data from various sources and generate insights that inform marketing strategies and advertising optimization.

Business model

SaaS

Target market

SMB and Mid-Market

What they offer

  • Managed Data Warehouse

    Snowflake-powered data warehouse with automated setup, optimization, and maintenance

  • Data Integration

    Pre-built connectors to extract data from various sources including marketing platforms, databases, and SaaS applications

  • Data Transformation

    Built-in transformation layer using SQL and dbt for modeling and preparing data for analysis

  • Query Interface

    SQL editor and query tools for data exploration and analysis

  • Data Monitoring

    Automated data quality checks and pipeline monitoring

Key features

Automated data pipeline orchestrationPre-built data connectorsSnowflake data warehouse integrationSQL-based transformation with dbtData quality monitoringCollaborative query interfaceScheduled data syncsData lineage tracking

Use cases

Marketing analytics and attributionCustomer data consolidationSales and revenue reportingProduct analyticsCross-channel campaign performance analysisCustomer segmentationBusiness intelligence and dashboarding

Customer segments

Small to mid-sized businessesStartups and scale-upsMarketing teamsE-commerce companiesSaaS companiesDigital agencies

Tech & specs

Technology stack

Snowflakedbt (data build tool)FivetranPythonSQLCloud infrastructure (AWS/GCP)

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAA-ready

Deployment

Cloud

API

Yes

Explore further

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