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.
A multi-cloud data federation engine that allows Domo to query external warehouses (Snowflake, Dremio, etc.) without ingestion.
The open-source BI platform that turns your dbt project into a governed, version-controlled analytics engine.
Transform raw data into real-time metrics with a powerful semantic layer and automated BI dashboards.
The AI-powered data scientist that automates complex analysis, visualization, and predictive modeling through sandboxed code execution.
The world's most adaptable EPM platform for autonomous financial and operational planning.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
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.
Siloed marketing data across Google Ads, Facebook, and in-store POS.
Registry Updated:2/7/2026
Delayed tracking of international shipments causing inventory stockouts.
Manual reconciliation taking weeks at the end of each quarter.