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Domo

Name: Domo
Price: Contact for Pricing USD
Author: Domo, Inc.

Backed By Domo, Inc.

Cloud-based business intelligence platform for marketing analytics.

Data & Analytics

Overview

Domo is a cloud-native business intelligence and analytics platform that connects marketing data from multiple sources, enabling real-time dashboards and visualizations for campaign optimization.

Use Cases

Real-time dashboards

ROI and attribution tracking

Connect hundreds of data sources

Automate data pipelines

Advanced charts and reports

Customizable dashboards

Top Integrations

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API

Product Info

Deployment Method

API-basedSaaS

Model Type

Closed Source

Support

Pricing

Free Trial

Free for 30 days

Access to complete platform and main features

Paid Plan (Consumption-Based)

Custom Quote (Consumption-based credits)

Everything in Free Trial

Alternates Research On The Product

Top Features

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1,000+ Pre-built Data Connectors

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Customizable, Interactive Dashboards and Data Visualizations (150+ chart types)

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Magic ETL (Low-code/No-code Data Transformation)

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SQL Dataflows (MySQL and Redshift expressions)

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Real-Time Analytics and Reporting

Strengths

Reliable collaboration and sharing features
Strong data visualization and flexibility of dashboards
Extensive connector library (1,000+)
Powerful data integration and ETL tools (Magic ETL, Python Tile)
Centralizes all reporting needs under one umbrella

Weaknesses

Potential data security risks associated with managing numerous data source connectors
Vendor lock-in due to the complexity of migrating integrated dataflows
Performance slowdowns on large datasets
Limited customization options for data visualization
Slow response times for technical support and critical bugs

Reviews From The Web

Real user experiences from across different platforms

Domo's bomb interface makes it stand out with ease of personalization based on user roles for ease of navigation. I like it out of the Box data connections from E-Commersite sites like shopify to social site like X and other data analytics like Google analytics which gives is versatility with exponential data visualization into vast number of format with graphs and charts. Great for it's razzmatazz, stunning and interactive dashboards...

Jeremy H.

2025-11-14

Recommendations

Organizations that need to unify highly fragmented data from many disparate sources (1,000+ connectors)

data from many disparate sources (1,000+ connectors)

Data-driven teams with large budgets that require real-time, executive-level insights and collaboration features

real-time, executive-level insights and collaboration features

Small businesses or teams with constrained or highly fixed budgets due to the non-transparent, unpredictable consumption-based pricing model

ly fixed budgets due to the non-transparent, unpredictable consumption-based pricing model

Non-technical users who require a very shallow learning curve for self-service analytics (requires patience and practice for advanced features)

rning curve for self-service analytics (requires patience and practice for advanced features)

Final Verdict

Unify all your business data in one cloud-native platform, democratize access across the organization, and drive real-time, actionable insights with built-in BI, ETL, and AI capabilities.

Best For

•Organizations that need to unify highly fragmented data from many disparate sources (1,000+ connectors)
•Data-driven teams with large budgets that require real-time, executive-level insights and collaboration features
•Businesses in regulated industries (Healthcare) needing HIPAA compliance features on the platform
•Teams that prefer a centralized platform for ETL, BI, and AI/ML

Watch Out For

•Unpredictable and escalating consumption-based pricing
•Extremely slow customer support for critical bugs/issues
•Potential data security risks associated with managing numerous data source connectors
•Vendor lock-in due to the complexity of migrating integrated dataflows

High cost, especially for smaller teams or high-volume usage (unpredictable consumption model) Steep learning curve and complex interface for non-technical users, particularly for advanced features like Dataflows and Beast Mode Performance can slow down with very large datasets or complex, simultaneous dataflows Limited customization options for data visualizations compared to competitors like Tableau or Power BI Slow and difficult-to-reach customer support reported by some users

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