[
Domo Reviews
](https://www.g2.com/products/domo/reviews)

[
Domo Reviews
](https://www.g2.com/products/domo/reviews)

# Domo Features

##### 
## Reports (8)

Reports Interface

Reports interface for standard and self-service reports is intuitive and easy to use.

Steps to Answer

Requires a minimal number of steps/clicks to answer business question.

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

Provides business users an interface to easily design, refine and collaborate on their dashboards

Reports Interface

Reports interface for standard and self-service reports is intuitive and easy to use.

Share Reports

Receive email reports and notifications regarding metrics.

Steps to Answer

Requires a minimal number of steps/clicks to answer business question.

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##### 
## Self Service (6)

Calculated Fields

Using formulas based on existing data elements, users can create and calculate new field values.

Data Column Filtering

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Data Discovery

Users can drill down and explore data to discover new insights.

Search

Ability to search global data set to find and discover data.

Collaboration / Workflow

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Automodeling

Tool automatically suggests data types, schemas and hierarchies.

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##### 
## Advanced Analytics (3)

Predictive Analytics

Analyze current and historical trends to make predictions about future events.

Data Visualization

Communicate complex information clearly and effectively through advanced graphical techniques.

Big Data Services

Ability to handle large, complex, and/or siloed data sets.

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##### 
## Building Reports (4)

Data Transformation

Converts data formats of source data into the format required for the reporting system without mistakes.

Data Modeling

Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

WYSIWYG Report Design

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Integration APIs

Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

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##### 
## Statistical Tool (3)

Scripting

Supports a variety of scripting environments

Data Mining

Mines data from databases and prepares data for analysis

Algorithms

Applies statistical algorithms to selected data

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##### 
## Data Analysis (2)

Analysis

Analyzes both structured and unstructured data

Data Interaction

Interacts with data to prepare it for visualizations and models

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##### 
## Decision Making (4)

Modeling

Offers modeling capabilities

Data Visualizations

Creates data visualizations or graphs

Report Generation

Generates reports of data performance

Data Unification

Unifies information on a singular platform

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##### 
## Data Updates (5)

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

Email Reports

Receive email reports and notifications regarding metric.

Historical Snapshots

Ability to track historical data.

Real-Time Updating

Track metrics in real time with consistent and frequent updates.

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##### 
## Model Development (4)

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Feature Engineering

Transforms raw data into features that better represent the underlying problem to the predictive models

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##### 
## Machine/Deep Learning Services (4)

Natural Language Processing

Offers natural language processing services

Natural Language Generation

Offers natural language generation services

Natural Language Understanding

Offers natural language understanding services

Deep Learning

Provides deep learning capabilities

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##### 
## Deployment (3)

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

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##### 
## Data Source Access (3)

Breadth of Data Sources

Provides a wide range of possible data connections, including cloud applications, on-premise databases, and big data distributions, among others

Ease of Data Connectivity

Allows businesses to easily connect to any data source

API Connectivity

Offers API connections for cloud-based applications and data sources

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##### 
## Data Interaction (8)

Profiling and Classification

Permits profiling of data sets for increased organization, both by users and machine learning

Metadata Management

Indexes metadata descriptions for easier searching and enhanced insights

Data Modeling

Tools to (re)structure data in a manner that enables quick and accurate insight extraction

Data Joining

Allows self-service joining of tables

Data Blending

Provides the ability to combine data sources into one data set

Data Quality and Cleansing

Allows users and administrators to easily clean data to maintain quality and integrity

Data Sharing

Offers collaborative functionality for sharing queries and data sets

Data Governance

Ensures user access management, data lineage, and data encryption

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##### 
## Data Exporting (3)

Breadth of Integrations

Provides a wide range of possible integrations, including analytics, data integration, master data management, and data science tools

Ease of Integrations

Allows businesses to easily integrate with analytics, data integration, master data management, and data science tools

Data Workflows

Operationalizes data workflows to easily scale repeatable preparation needs

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##### 
## Administration (4)

Data Modelling

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Recommendations

Analyzes data to find and recommend the highest value customer segmentations.

Workflow Management

Tools to create and adjust workflows to ensure consistency.

Dashboards and Visualizations

Presents information and analytics in a digestible, intuitive, and visually appealing way.

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##### 
## Compliance (4)

Sensitive Data Compliance

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Training and Guidelines

Provides guidelines or training related to sensitive data compliance requirements,

Policy Enforcement

Allows administrators to set policies for security and data governance

Compliance Monitoring

Monitors data quality and send alerts based on violations or misuse

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##### 
## Data Quality (3)

Data Preparation

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Data Distribution

Facilitates the disseminating of collected big data throughout parallel computing clusters

Data Unification

Compile data from across all systems so that users can view relevant information easily.

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##### 
## Management (7)

Reporting

View ETL process data via reports and visualizations like charts and graphs.

Auditing

Record ETL historical data for auditing and potential data correction needs.

Business Glossary

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Data Discovery

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Data Profililng

Monitors and cleanses data with the help of business rules and analytical algorithms.

Reporting and Visualization

Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Data Lineage

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

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##### 
## Functionality (5)

Extraction

Extract data from the designated source(s) like relational databases, JSON files, and XML files.

Transformation

Cleanse and re-format extracted data to the needed target format.

Loading

Load reformatted data into target database, data warehouse, or other storage location.

Automation

Arrange ETL processes to occur automatically on needed time schedule (e.g., daily, weekly, monthly).

Scalability

Capable of scaling processing power up or down based on ETL volume.

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##### 
## System (1)

Data Ingestion & Wrangling

Gives user ability to import a variety of data sources for immediate use

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##### 
## Data Preparation (2)

Connectors

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Data Governance

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

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##### 
## Data Modeling and Blending (3)

Data Querying

Using formulas based on existing data elements, users can create and calculate new field values

Data Filtering

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Data Blending

Allows the user to combine data from multiple sources into a functioning dataset.

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##### 
## Security (3)

Access Control

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Roles Management

Helps identify and manage the roles of owners and stewards of data.

Compliance Management

Helps adhere to data privacy regulations and norms.

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##### 
## Maintainence (2)

Data Quality Management

Defines, validates, and monitors business rules to safeguard master data readiness.

Policy Management

Allows users to create and review data policies to make them consistent across the organization.

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##### 
## Visualization (4)

Graphs and Charts

Offers a variety of attractive graph and chart formats.

Score Cards

Score cards visually track KPI's.

Dashboards

Provides business users an interface to easily design, refine and collaborate on their dashboards

Formats

Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

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##### 
## Collaboration (3)

Sharing

Provides the ability to easily share visualizations.

Co-Editing

Allows multiple users to edit and create visualizations together.

Devices

Has the ability to edit visualization across devices and device types (e.g. computer and phone).

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##### 
## Generative AI (12)

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Generation

Allows users to generate text based on a text prompt.

AI Text Summarization

Condenses long documents or text into a brief summary.

AI Text-to-Image

Provides the ability to generate images from a text prompt.

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##### 
## Customization - AI Agent Builders (3)

Natural Language Configuration

Supports configuration using natural language instructions.

Tone Customization

Allows users to customize the tone of agent.

Security Guardrails

Enables definition of clear security guardrails for agent actions.

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##### 
## Functionality - AI Agent Builders (4)

Omni-channel Support

Provides support across web, mobile, messaging apps, and other channels.

Agent Branding

Allows customization of agent branding, including visual appearance and conversational style.

Proactive Response Capabilities

Equips agents with proactive response capabilities based on predefined triggers.

Seamless Human Escalation

Facilitates seamless escalation to human employees for complex issues.

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##### 
## Data and Analytics - AI Agent Builders (3)

Analytics & Reporting

Provides analytics and reporting on agent performance and interactions.

Contextual Awareness

Offers agents the ability to maintain contextual awareness across interactions.

Data Privacy Compliance

Ensures compliance with data privacy and governance requirements.

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##### 
## Integration - AI Agent Builders (4)

Workflow Automation

Automates workflows and actions based on agent responses.

API Usage

Allows the use of APIs for advanced agent configuration.

Platform Interoperability

Enables interoperability with multiple platforms for unified experiences.

CRM Data Integration

Allows integration with CRM data to ground agent responses in business context.

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##### 
## Agentic AI - Data Governance (6)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Analytics Platforms (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Agentic AI - Data Science and Machine Learning Platforms (7)

Autonomous Task Execution

Capability to perform complex tasks without constant human input

Multi-step Planning

Ability to break down and plan multi-step processes

Cross-system Integration

Works across multiple software systems or databases

Adaptive Learning

Improves performance based on feedback and experience

Natural Language Interaction

Engages in human-like conversation for task delegation

Proactive Assistance

Anticipates needs and offers suggestions without prompting

Decision Making

Makes informed choices based on available data and objectives

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##### 
## Deployment & Integration - Analytics Platforms (4)

No-code Dashboard Builder

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Report Scheduling and Automation

Enables automated report generation and scheduled delivery to stakeholders

Embedded Analytics and White-labeling

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Data Source Connectivity

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

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##### 
## Performance & Scalability - Analytics Platforms (2)

Large data handling and Query Speed

Efficiently processes large datasets with minimal lag and ensures high performance under load

Concurrent User Support

Maintains performance and uptime during high traffic from multiple users or teams

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##### 
## Advanced Analytics & Modeling - Analytics Platforms (3)

Data Modeling and Governance

Supports semantic data layers, role-based access controls, and metadata governance

Notebook and Script Integration

Integrates with Jupyter, Python, or R for custom analytics and modeling

Built-in Predictive and Statistical Models

Provides native tools for statistical analysis, forecasting, and trend prediction

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##### 
## Agentic AI Capabilities - Analytics Platforms (4)

Auto-generated Insights and Narratives

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Natural Language Queries

Allows users to query data and build reports using conversational or plain language

Proactive KPI Monitoring and Alerts

Detects and notifies users about KPI anomalies or significant metric changes in real time

AI Agents for Analytical Follow-ups

Recommends next questions, analyses, or exploration paths using autonomous AI agents

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##### 
## Personalized Intelligence - Analytics Platforms (3)

Behavioral Learning for Contextual Query Refinement

Learns from historical user interactions to improve and personalize query results over time

Role-based Insight Personalization

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Conversational and Prompt-based Analytics

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

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##### 
## Deployment & Integration - Semantic Layer Tools (2)

Multi-Environment & Multi-Cloud Support

Supports deployment across multiple environments or cloud platforms with consistent configuration management

Open API & SDK Integration

Provides APIs and SDKs for seamless integration with orchestration, governance, and custom data tools

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##### 
## Data Connectivity & Federation - Semantic Layer Tools (2)

Cross-Source Query Federation

Allows querying and joining data across multiple warehouses and lakes without requiring data replication

Dynamic Schema & Metadata Adaptation

Automatically adapts to schema or metadata changes in connected data sources while maintaining consistency

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##### 
## Data Modeling & Metrics - Semantic Layer Tools (2)

Derived & Calculated Metrics

Enables users to create derived or calculated metrics based on governed data definitions

Time Intelligence Functions

Provides built-in support for time-based calculations such as YoY, MoM, and rolling averages

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##### 
## Performance Optimization - Semantic Layer Tools (2)

Query Caching & Acceleration

Enhances performance by using intelligent caching, precomputation, and acceleration techniques

Adaptive Query Optimization

Automatically tunes and optimizes queries based on data size, frequency, and usage patterns

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##### 
## Governance - Semantic Layer Tools (3)

AI Governance & Observability

Provides visibility and control over how AI systems or automated agents interact with the semantic layer

Metric Lineage for AI Training Data

Tracks how governed metrics and datasets are used in AI/ML training to ensure transparency, compliance, and clear data traceability

Version Control & Change Impact Analysis

Provides version control for semantic models and metrics, with change tracking, rollback, and impact analysis to see how updates affect downstream data or reports

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##### 
## Advanced Intelligence - Semantic Layer Tools (3)

Natural Language Query Interface

Allows users or AI assistants to explore and query metrics through natural language prompts

Semantic Layer for AI/ML Models

Enables AI and machine learning systems to directly consume standardized, governed metrics and logic

Recommendation Engine

Suggests relevant metrics, joins, or insights based on context and historical usage patterns

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##### 
## Agentic AI Enablement - Semantic Layer Tools (3)

Agentic Query Orchestration

Enables autonomous AI agents to compose, execute, and refine analytical queries via the semantic layer

Contextual Reasoning Layer

Provides semantic context graphs that help AI agents understand data relationships and business logic

Workflow Automation via Semantic Agents

Allows semantic agents to trigger automated actions such as data refreshes, alerts, or report generation

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##### 
## Data Connectivity and Prep - Agentic Analytics (2)

Data Source Connectivity

Connects structured and unstructured data for unified analysis.

Automated Data Preparation

Uses AI to clean, join & prep data with little manual input

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##### 
## AI Agent Management - Agentic Analytics (2)

Agent Configuration & Goals

Allows users set goals & rules for agent behavior.

Continuous Learning & Feedback

Improves agents via outcome learning & feedback.

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##### 
## Autonomous Insight Generation - Agentic Analytics (3)

Continuous Pattern Detection

Detects trends, anomalies & patterns without manual queries.

Multi‑Step Reasoning

Breaks down complex analysis into logical steps.

Predictive & Prescriptive Analytics

Generates forecasts & action suggestions from data signals

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##### 
## Interaction and Workflow - Agentic Analytics (3)

Natural Language Query and Conversational Analytics

Helps users ask questions in natural language & get answers.

Action Triggering & Workflow Orchestration

Triggers workflows or actions based on agent analysis.

Explainability & Audit Trails

Shows reasoning paths to explain how insights were made

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Domo Comparisons

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Looker

4.4/5(1,654)

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4.2/5(1,062)

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##### Categories on G2

[
AI Agent Builders
](https://www.g2.com/categories/ai-agent-builders)[
Predictive Analytics
](https://www.g2.com/categories/predictive-analytics)[
Analytics Platforms
](https://www.g2.com/categories/analytics-platforms)

[
Data Visualization
](https://www.g2.com/categories/data-visualization-tools)[
ETL Tools
](https://www.g2.com/categories/etl-tools)[
Embedded Business Intelligence
](https://www.g2.com/categories/embedded-business-intelligence)[
Data Science and Machine Learning Platforms
](https://www.g2.com/categories/data-science-and-machine-learning-platforms)[
Data Governance
](https://www.g2.com/categories/data-governance-tools)[
Data Preparation
](https://www.g2.com/categories/data-preparation)[
Semantic Layer Tools
](https://www.g2.com/categories/semantic-layer-tools)[
Agentic Analytics
](https://www.g2.com/categories/agentic-analytics)

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Pros and Cons Details
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