Mozart Data Analysis: $4M Raised
What is Mozart Data?
Mozart Data provides an all-in-one modern data platform for centralizing, organizing, and analyzing business data. The company was founded in 2020 by Peter Fishman and Dan Silberman, who previously built data pipelines and tools for startups including Clover Health, Eaze, Opendoor, and Yammer. Its website and Y Combinator profile position the product as a no-engineering data stack that can be set up in hours.
Location
San Francisco, United States
Employees
11-50
Founded
2020
Revenue
$3.1M
Product Features & Capabilities
- Extract Transform Load (ETL), Data Centralization & Warehousing, Data Transformation, Cataloging and Organizing Data, Data Lineage & Observability, Data Reliability & Validity
Pricing
- Sonata (Free Tier):
- Overages: pay $3/compute credit + $67.50 per 100,000 MAR
- 250,000 monthly active rows
- 15 compute-hours
- UNLIMITED users
- UNLIMITED connectors
- Concerto:
- $1,200 /mo
-
- $1,000 Implementation Fee
- 1,750,000 monthly active rows
- $500 / 500k additional rows
- 135 compute-hours
- UNLIMITED users
- UNLIMITED connectors
- Symphony:
- $3,000 /mo
-
- $1,000 Implementation Fee
- 5,000,000 monthly active rows
- $500 / 2M additional rows
- 280 compute-hours
- UNLIMITED users
- UNLIMITED connectors
- 5 hours dedicated analyst time
- Opera (Most Popular):
- $6,000 /mo
-
- $1,000 Implementation Fee
- 25,000,000 monthly active rows
- $500 / 10M additional rows
- 560 compute-hours
- UNLIMITED users
- UNLIMITED connectors
- 10 hours dedicated analyst time
How much Mozart Data raised
1: - $4 million
November 12, 2020Lead Investor: Not specified in the source.
Investors
- Craft Ventures
- Goldcrest Capital
- Spearhead
- Apollo Projects
- Valor Equity Partners
Market Focus
Mozart Data primarily focuses on the data analytics and business intelligence industry, providing tools for ETL (Extract, Transform, Load), data warehousing, and data transformation to help businesses make data-driven decisions.
Competitors Overview
Mozart Data competes in the ETL and data management market with several notable competitors, each offering unique advantages:
-
Google Cloud BigQuery: A serverless data warehouse known for its ability to analyze large datasets quickly using SQL-like queries. It is recognized for scalability and cost-effectiveness, making it a top alternative to Mozart Data.
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Databricks Data Intelligence Platform: This platform excels in big data management and analytics, offering quick responses and simplifying data workflows. However, it is often seen as more expensive and slower to achieve ROI compared to Mozart Data.
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Snowflake: Known for eliminating data silos and simplifying data architectures, Snowflake is a strong competitor but tends to be more costly than Mozart Data.
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Amazon Redshift: A fully managed data warehouse that allows for cost-effective data analysis. It is noted for being slower to reach ROI and generally more expensive than Mozart Data.
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Monte Carlo: Focused on data observability and preventing broken data pipelines, Monte Carlo is also considered more expensive than Mozart Data.
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Panoply: A data management platform that simplifies data integration and analytics, appealing to businesses looking for ease of use.
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Hevo: A no-code data pipeline platform that automates data integration, making it suitable for users who prefer minimal coding.
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IBM Cognos Analytics: Offers comprehensive analytics capabilities, empowering users across skill levels, which can be advantageous for organizations seeking robust analytics solutions.
These competitors provide various features and pricing structures that may appeal to different user needs in the ETL and data management space.
Business Model
Subscription-based model with tiered pricing; revenue from monthly fees and free tier offerings.
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