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The Business Cloud: Modernizing workflows through real-time data integration, AI, and intuitive app experiences.

Domo is a cloud-native Business Intelligence and Data Experience (DX) platform engineered to bridge the gap between complex data infrastructure and front-line decision-making. By 2026, Domo has solidified its position as a leader in 'Data Agility' by offering an AI Service Layer that allows enterprises to deploy Large Language Models (LLMs) directly atop their private data silos without compromising security. Its architecture is built on a high-speed columnar database (Adrenaline) and a robust ETL engine (Magic ETL), which enables multi-cloud data federation through its 'Cloud Amplifier' technology. Unlike legacy BI tools that require data replication, Domo’s 2026 iteration emphasizes zero-copy integration with Snowflake, BigQuery, and Databricks. This allows organizations to maintain a 'Single Source of Truth' while empowering non-technical users to build low-code/no-code applications via Domo App Studio. The platform serves as a comprehensive ecosystem where data visualization, automated workflows, and predictive analytics converge into a mobile-first interface, catering specifically to Fortune 500 companies needing real-time operational visibility.
Domo is a cloud-native Business Intelligence and Data Experience (DX) platform engineered to bridge the gap between complex data infrastructure and front-line decision-making.
Explore all tools that specialize in predictive ai modeling. This domain focus ensures Domo delivers optimized results for this specific requirement.
A multi-cloud data federation engine that allows Domo to query external warehouses (Snowflake, Dremio, etc.) without ingestion.
A visual data pipeline tool that uses a high-performance Spark-based engine for massive transformations.
An extensible framework to integrate third-party LLMs like OpenAI, Anthropic, or proprietary models directly into datasets.
A low-code development environment for creating data-driven business applications.
A high-scale SQL-based processing engine for handling multi-billion row datasets.
A calculation engine for creating custom metrics using a SQL-like syntax at the visualization layer.
Dynamic row-level security that filters data visibility based on the user's role and attributes.
Sign up for a Domo instance and complete the initial environment configuration.
Install Domo Workbench for on-premises data ingestion or connect to cloud sources via 1000+ native connectors.
Establish Cloud Amplifier connections to federate data from Snowflake or BigQuery without moving it.
Use Magic ETL to drag-and-drop data transformation blocks for cleaning and joining disparate datasets.
Define Data Permissions using Personalized Data Permissions (PDP) to ensure row-level security.
Utilize the AI Service Layer to generate automated insights and text-to-SQL queries.
Build interactive visualizations using the Card Builder and Analyzer tools.
Deploy custom low-code applications using Domo App Studio for specific business functions.
Configure automated alerts and scheduling for executive-level reporting distribution.
Monitor system health and data freshness through the Governance and Admin consoles.
All Set
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