Domo
Domo provides a unified, cloud-native platform that connects all data sources, enables real-time visualization and collaboration, and empowers business users to make data-driven decisions without requiring technical expertise.
Last updated Jun 23, 2026 · Connections updated Jun 29, 2026
At a glance
- Employees
- 1001-5000
- Funding
- $700M+
- Revenue
- $250M-$300M
- Stock
- DOMO
About
Leading cloud-based BI platform with strong presence in marketing analytics and cross-functional business intelligence
Domo is a cloud-native business intelligence and data analytics platform founded in 2010 that enables organizations to connect, prepare, visualize, and act on data from multiple sources in real-time. The company provides a comprehensive suite of tools for data integration, visualization, collaboration, and embedded analytics, serving enterprises across various industries. While not a pure AdTech company, Domo plays a significant role in the marketing and advertising technology ecosystem by providing analytics and reporting capabilities that help marketing teams, agencies, and media companies measure campaign performance, optimize ad spend, and derive insights from marketing data across multiple channels and platforms. The platform's ability to integrate with major advertising platforms, social media channels, and marketing automation tools makes it a valuable infrastructure component for data-driven marketing operations.
Business model
SaaS
Target market
Enterprise and Mid-Market
What they offer
Domo Business Cloud
Core platform for connecting, preparing, visualizing, and acting on data from multiple sources
Magic ETL
Visual data transformation and preparation tool for cleaning and combining data
Domo Everywhere
Embedded analytics solution for integrating Domo visualizations into external applications
Domo Apps
Pre-built and custom applications for specific business functions and use cases
Domo Workflows
Automation and workflow management capabilities for data-driven processes
Domo AI
Artificial intelligence and machine learning capabilities for predictive analytics and insights
Key features
Use cases
Customer segments
Tech & specs
Technology stack
Security & compliance
Deployment
API
Yes
- 2010 · Founded