Domo

Basic Information

Domo is a cloud-native business intelligence (BI), data, and intelligent apps platform, created in 2010. It provides a comprehensive solution for data integration, visualization, and analytics, designed to run businesses from various devices.

• Model: Domo Platform (cloud-native BI and analytics platform)
• Version: Continuous updates and releases.
• Release Date: Created in 2010.
• Minimum Requirements: Primarily browser-based for web access. Mobile apps require specific operating system versions.
• Supported Operative Systems:
  • Web Browsers: Supports the two most recent non-beta versions of Google Chrome, Mozilla Firefox, Microsoft Chromium Edge, and Safari (Mac).
  • iOS: Requires iOS 16.4 or later.
  • Android: Supports Android 10 and later.
• Latest Stable Version: As a continuously updated cloud platform, Domo does not have a single "latest stable version" number in the traditional sense. Updates are rolled out regularly.
• End of Support Date: Not applicable; as a cloud-native SaaS platform, support is continuous with ongoing updates.
• End of Life Date: Not applicable; as a cloud-native SaaS platform, the service is continuously maintained and evolved.
• License Type: SaaS (Software as a Service) with a credit-based pricing model, often combined with flat user licensing.
• Deployment Model: Cloud-native.

Technical Requirements

Domo operates as a cloud-based platform, shifting most technical requirements from the end-user device to the vendor's infrastructure. Client-side access primarily relies on web browsers and mobile applications.

• Operating System:
  • Web: Any operating system capable of running supported web browsers.
  • Mobile: iOS 16.4 or later, Android 10 or later.
• Browser: Google Chrome, Mozilla Firefox, Microsoft Chromium Edge, Safari (Mac) (two most recent non-beta versions).
• Browser Settings: JavaScript enabled, Popups enabled, Cookies enabled.
• Display: No specific minimum display requirements are listed, but optimal experience is implied with modern displays for data visualization.
• Network: Stable internet connection for cloud access.

Analysis of Technical Requirements

The technical requirements for Domo are minimal for end-users, primarily focusing on modern web browser compatibility and up-to-date mobile operating systems. This cloud-native approach significantly reduces the burden on local hardware and IT infrastructure, making it accessible across various devices and environments. The platform itself handles the heavy lifting of data processing and storage.

Support & Compatibility

Domo offers extensive support and compatibility options, leveraging its cloud-native architecture and broad integration capabilities.

• Latest Version: Continuous updates are deployed to the cloud platform, ensuring users always access the latest features and improvements.
• OS Support:
  • Web: Compatible with major web browsers (Chrome, Firefox, Edge, Safari) across various desktop operating systems.
  • Mobile: Supports iOS 16.4+ and Android 10+.
• End of Support Date: As a SaaS offering, there are no traditional end-of-support dates; the platform is continuously supported and updated.
• Localization: The mobile application supports multiple languages, including English, French, German, Italian, Japanese, and Spanish.
• Available Connectors/Drivers: Over 1,000 pre-built cloud and on-premise connectors are available, along with custom connections through APIs, SDKs, and Webhooks.

Analysis of Overall Support & Compatibility Status

Domo demonstrates strong overall support and compatibility. Its cloud-native design ensures continuous updates and broad accessibility across modern web browsers and mobile devices. The extensive library of over 1,000 connectors allows seamless integration with a vast array of data sources, both cloud-based and on-premise, which is a significant advantage for unifying disparate data. While specific "drivers" in the traditional sense are not applicable for a cloud platform, the comprehensive connector ecosystem fulfills this role effectively. Localization support for its mobile app further enhances global usability.

Security Status

Domo prioritizes enterprise-grade security and compliance, integrating multiple layers of protection and offering customer-managed security features.

• Security Features: Multiple logical and physical security layers, "least privilege" and "separation of duties" access models, threat assessments for new features, extensive logging and monitoring of network, system, and application events.
• Known Vulnerabilities: No specific publicly disclosed "known vulnerabilities" are highlighted, indicating a proactive security posture common for enterprise platforms.
• Blacklist Status: Not applicable; no information suggests any blacklist status.
• Certifications: Compliant with SOC 2 Type II, ISO 27001, ISO 27018, HITRUST, NIST CSF, HIPAA, GDPR, and CCPA.
• Encryption Support: Transport layer encryption, encryption at rest, and Bring Your Own Key (BYOK) encryption for customer data.
• Authentication Methods: SAML-based Single Sign-On (SSO) and Multi-Factor Authentication (MFA).
• General Recommendations: Domo provides self-service security features like IP address restrictions and security profiles, allowing customers to maintain control and transparency over their data. It also adheres to Responsible AI principles, including reliability, safety, accountability, and transparency.

Analysis on the Overall Security Rating

Domo exhibits a robust overall security rating. The platform incorporates a comprehensive security framework, including multi-layered protection, stringent access controls, and continuous monitoring. Its adherence to numerous industry-leading compliance certifications (SOC 2, ISO, HITRUST, HIPAA, GDPR, CCPA) underscores its commitment to data protection and regulatory standards. Strong encryption capabilities, including BYOK, and advanced authentication methods like SAML SSO and MFA, provide significant safeguards for sensitive data. The emphasis on customer-managed security features further empowers organizations to tailor security to their specific needs.

Performance & Benchmarks

Domo is designed for high performance and scalability, leveraging its cloud-native architecture to handle large volumes of data and complex queries efficiently.

• Benchmark Scores: Specific numerical benchmark scores are not publicly available in the provided information.
• Real-world Performance Metrics:
  • Fast query handling, providing a responsive user experience even with simultaneous queries on billions of rows.
  • Utilizes a massively parallel processing (MPP) architecture in the cloud for optimum computing performance.
  • Scalable infrastructure with back-end automatic scaling.
  • Queries over 100 trillion rows of data daily.
  • Real-time data updates and insights.
• Power Consumption: Not directly applicable to end-users as Domo is a cloud service; power consumption is managed by the underlying cloud infrastructure provider.
• Carbon Footprint: Not directly applicable to end-users as Domo is a cloud service; the carbon footprint is primarily associated with the cloud provider's data centers.
• Comparison with Similar Assets: Generally considered one of the easiest analytics platforms to use, with the fastest time to value, optimal performance, and scalability compared to its peers. It maintains performance and reliability without significant infrastructure changes even with increasing data volumes or users.

Analysis of the Overall Performance Status

Domo's overall performance status is strong, characterized by its cloud-native design that enables exceptional scalability and real-time data processing. The platform efficiently handles massive data volumes and complex analytical workloads, ensuring quick insights and responsive dashboards. Its architecture is built to scale effortlessly with business growth, maintaining performance and reliability. While specific benchmark numbers are not disclosed, user feedback and architectural descriptions consistently highlight its high performance and ability to deliver real-time insights, making it a competitive solution in the BI space.

User Reviews & Feedback

User reviews and feedback for Domo highlight its strengths in data integration and ease of use for basic tasks, while also pointing out challenges related to cost and advanced customization.

• Strengths:
  • Ease of Use & User-Friendly Interface: Intuitive design, drag-and-drop functionality, and customizable dashboards make it easy for non-technical users to navigate and create visualizations.
  • Extensive Data Integration: Over 1,000 pre-built connectors allow seamless integration with diverse data sources, streamlining data management.
  • Real-time Data & Insights: Provides real-time data updates, enabling faster, informed decision-making.
  • Mobile Accessibility: Full-functionality mobile applications allow access to dashboards and data on the go.
  • Collaboration Tools: Features like in-context chat and shared insights facilitate team collaboration.
  • Scalability: Handles growing data volumes and user demands effectively.
  • AI Capabilities: Emerging AI features are viewed as promising for future utilization.
• Weaknesses:
  • High Cost & Complex Pricing: Often cited as expensive, especially for smaller organizations, with a credit-based model that can lead to unpredictable costs.
  • Steep Learning Curve for Advanced Features: While basics are easy, mastering advanced ETL flows, scripting, or custom app building requires significant technical knowledge.
  • Limited Customization & Visualization: Some users find customization options and visualization sophistication limited compared to specialized tools like Tableau.
  • Data Management Issues: Concerns about poor dataset organization and challenging dataflows have been noted.
  • Poor Version Control: Users report difficulties with version control.
  • Not Ideal for Small Businesses: Setup time, cost, and complexity make it less suitable for small teams or individual users.
• Recommended Use Cases:
  • Mid-sized to enterprise-level companies requiring a comprehensive BI system.
  • Organizations needing to aggregate and visualize data from numerous disparate sources.
  • Teams that prioritize real-time data access and interactive dashboards.
  • Companies looking for embedded analytics solutions.
  • Businesses aiming to automate workflows and streamline processes.

Summary

Domo is a powerful, cloud-native business intelligence and analytics platform designed to unify data, provide real-time insights, and facilitate data-driven decision-making across organizations. Its core strengths lie in its extensive data integration capabilities, offering over 1,000 pre-built connectors that allow seamless aggregation of data from diverse sources. The platform is highly scalable, leveraging a massively parallel processing architecture to handle and query trillions of rows of data daily with impressive performance. Users generally praise its intuitive, user-friendly interface for basic tasks and dashboard creation, along with robust mobile accessibility and collaborative features.

However, Domo presents certain challenges. Its pricing model, often credit-based and combined with user licenses, can be complex and expensive, particularly for smaller businesses. While easy for basic use, mastering advanced features like ETL flows and custom app development involves a steep learning curve. Some users also note limitations in customization options and visualization sophistication compared to more specialized tools, alongside occasional data management and version control issues.

Overall, Domo is an excellent fit for mid-sized to large enterprises that require a comprehensive, real-time BI solution capable of integrating vast amounts of data from disparate systems. Its strong security posture, evidenced by numerous certifications and encryption support, makes it suitable for handling sensitive data. Organizations prioritizing ease of use for general business users, extensive data connectivity, and cloud-native scalability will find Domo a valuable asset. However, potential adopters should carefully evaluate the cost structure and be prepared for a learning investment for advanced functionalities. For smaller organizations or those with highly niche data science requirements, alternative solutions might be more cost-effective or specialized.

The information provided is based on publicly available data and may vary depending on specific device configurations. For up-to-date information, please consult official manufacturer resources.