Se ahorraron cientos de horas de procesos manuales al predecir la audiencia de juegos al usar el motor de flujo de datos automatizado de Domo.
What makes Domo different?
More than metrics
While Databox is great for visualizing basic KPIs, Domo gives you full control of your data across ETL, AI agents, dashboards, and automated workflows.
Built for scale
Whether you’re a startup or a global enterprise, Domo handles massive data sets in real time without delays, plug-ins, or compromises.
From insight to action
Trigger alerts, launch workflows, and power AI agents directly from your dashboards. With Domo, your data doesn’t just inform—it acts.

Comparing Domo and Databox
The difference is in the details
Real-time data updates
✅ Included
⚠️ Limited to period updates
Native data integration
✅ 1,000+ pre-built connectors plus custom options
⚠️ 100+ native integrations, lacks robust support for custom data sources
ETL and data transformation
✅ Powerful ETL tools built in
⚠️ Limited data customization and transformation
AI agents
✅ Included
❌ Not available
Automation and workflows
✅ Trigger actions from dashboards
❌ Limited or no in-platform actions
Custom dashboards
✅ Fully customizable with drag-and-drop builder
✅ View only with limited customizations
Enterprise security and governance
✅ SOC 2 certified with RBAC and activity auditing
⚠️ Standard user permissions and security controls
Scalability
✅ Used by Fortune 50 companies
⚠️ SMB-focused
FAQs
Can Domo do everything Databox does?
Yes, and much more. Domo includes dashboarding and metric tracking, but adds powerful data transformation, AI, and automation.
Is Domo harder to implement?
Not at all. Domo offers no-code/low-code tools and white-glove onboarding to get your team up and running quickly.
Who typically switches from Databox to Domo?
Mid-size and enterprise teams that outgrow basic dashboards and need to scale, automate, and drive action from data.
See why teams choose Domo
Make the switch from static reporting to intelligent, real-time business execution.















