Domo Alternative: Discover the Right BI Tool for Your Needs

When selecting a BI and analytics solution, it's crucial to consider the needs of all user personas. During the evaluation process, must-have requirements include accommodating diverse needs, self-service capabilities, the ability to handle large datasets, streamlined task management, customization options, a rich developer experience, AI capabilities, and more.

If you want help with evaluating your future analytics solution, there are many helpful resources available. Guides such as How to Evaluate BI Tools to Choose the Best One and Comparing the Best BI Tools: Select the Right Solution for Your Business offer valuable insights and comparisons to aid in decision-making.

What is GoodData?

GoodData stands out among its competitors as a cloud-based data and analytics platform that is revolutionizing decision-making via AI-driven insights. By harnessing the power of automation and AI, GoodData enables organizations to democratize data analytics, providing real-time, self-service insights for every user. In a nutshell, GoodData offers:

• An intuitive interface: This makes it an ideal choice for users seeking a combined BI, self-service analytics, and embedding analytics solution.
• A platform that caters to all user personas: GoodData offers low code/no-code options for business analysts and consumers, while also providing developer-friendly features like an API-first approach, Headless BI, and Analytics as Code via its VS Code extension.
• Governance and scalability: GoodData’s inheritance model centralizes metrics and semantic layers for scalable analytics across organizations, simplifying management and the rollout of changes.

What is Domo?

Domo, an alternative to GoodData, offers comprehensive self-service Business Intelligence (BI) software, aiming to consolidate all business data within a single platform. Domo facilitates automated reporting, transforms data into actionable insights, and supports executives in making quicker, well-informed decisions. Key selling points of Domo include:

• Ease of use: Domo offers an intuitive experience that doesn't require users to possess advanced programming skills.
• Beyond analytics: Domo is known for analytics but also seamlessly integrates data, making it a strong choice for both analytics and data integration.
• Data integration: Domo doesn't only compete with traditional analytics tools, but also with a wide range of data integration solutions.

Domo dashboard (resource: Domo Learn)

Key differences between the two competitors

Domo and GoodData are standout competitors in the analytics and BI market, offering diverse cloud-based solutions to meet various user needs. With this in mind, let's see how they fare in a side-by-side comparison of different areas.

Data sources and data modeling

Domo excels in connectivity with pre-built connectors for cloud and on-premises databases, fostering seamless collaboration between data engineers and analysts. Domo integrates data warehouses and provides insights such as data source updates and resource scaling.

GoodData also provides pre-built connections (alternatively, data source managers can be used). However, while Domo enables direct management within its platform, GoodData users handle ETL externally, moving data to their data warehouses before connecting to the platform. This allows users to utilize external ETL tools for broader data stack integration. GoodData automatically generates logical data models that align with data warehouse structures, enabling developers to perform SQL queries for data analysis within the platform, without impacting the data warehouse directly.

Multitenancy

Domo and GoodData scale analytics for multiple users in similar ways. Domo uses a hierarchical structure of pages and subpages, organizing visualizations into dashboards with different permissions for viewing and managing. Domo includes data integration in its analytics, allowing users to access and collaborate on connected datasets.

GoodData uses multitenancy with workspace hierarchies, where each workspace managed from a parent workspace contains metrics, visualizations, dashboards, and a master layer. Tenants can have separate domains or be assigned to individual workspaces with varying permission levels for users and groups.

Customization and embedding

Domo Everywhere enables effortless content sharing and access management for organizations. Although interface customization options are limited, Domo does offer accessibility across various devices. More customized visualizations are only accessible via the Domo App Store.

GoodData has a clear competitive edge when it comes to embedding analytics and robust customization. Customers can programmatically manage everything to visually tailor analytics. This flexibility ensures seamless integration, aligning app interfaces with GoodData for a unified product experience.

AI-enhanced features

Both Domo and GoodData have adapted to AI trends and incorporated AI-enhanced features. Domo’s flexible AI framework, Domo.AI, enables customers to use public models, large language models (LLMs), and generative AI within its analytics platform.

GoodData’s analytics as code approach allows the integration of AI features via large language models (LLMs) and translates technical expressions for non-technical users through a semantic layer. Additionally, it supports the use of public models like OpenAI ChatGPT 4.0 to enhance the platform’s AI capabilities.

*Note: To try GoodData's AI features, please sign up for a free trial.

While Domo provides built-in AI tools for utilizing data flows directly within its platform (Advanced SQL Editor or Scripting), GoodData prioritizes data quality with AI features like Data Profiling. GoodData also offers a robust developer experience for integrating algorithms and building data flows. GoodData provides various blueprints (such as Data Pipelines as Code) to simplify data integration and facilitate connectivity to the platform. For instance, you can use tools like Meltano for data extraction and loading from different resources to a chosen data warehouse, and dbt for data transformation, to be ready to connect it to GoodData and build your dashboards.

Pricing

Domo and GoodData use different pricing models. Domo's consumption-based approach can be unpredictable, whereas GoodData offers transparent pricing suitable for various company sizes – including per-workspace, where multiple users can access one workspace without affecting costs.

In Domo’s consumption-based pricing model, users buy credits to meet their platform usage. This pricing model offers unlimited users across all tiers. Domo provides full platform access to all organization members via various pricing tiers. How does this work exactly?

• With this usage pricing model, you decide on the credits required to manage your data storage, manage ETL pipelines, and create visualizations.
• Full access to the Domo platform is available to everyone if enough credits have been purchased.
• To monitor overall usage, DomoStats offers insights and tracking. You can also control spending by adjusting usage levels as necessary.

GoodData provides various pricing tiers to fit a company's budget and preferences, ensuring transparency and predictability. These models are suitable for both internal and external use cases:

• Internal use cases: GoodData charges based on user adoption within a company. There's also a low-cost pricing tier for startups.
• External use cases: GoodData adopts a per-workspace pricing model, assigning one workspace for each vendor, partner, or client. This guarantees predictable pricing based on workspace count, with flexible user access organized into groups. This model suits customers offering B2B analytics products.