Snowflake vs Domo: which is the better data warehouse?

Snowflake is a platform for cloud-based data warehousing, whereas Domo is a tool for cloud-based business intelligence.

If you are like the majority of businesses, data is everywhere, but synchronizing, retaining, and gaining access to it is difficult. The solution is an analytics stack, but determining how to construct one is difficult. So that you can make an informed decision, we have compared Snowflake vs Domo on key factors such as simplicity of use, and compatibility.

For small, medium, and large businesses, Domo is a business intelligence tool. Users can combine and transform data with Domo, which has a remarkable number of integrations and an intuitive user interface. Domo is an expert in data visualization. Although Domo is a powerful platform, its high cost, unreliable connectors, lengthy processing times, and poor customer service may discourage many potential users.

Snowflake is a data warehouse platform designed with the expertise of data architects and data technologists. Multiple users can query data thanks to a SQL workbench and user permissions. Data is stored in the cloud for simple access. The Snowflake platform is effective at managing a wide variety of data types, but it may be difficult for users with limited data expertise to employ.

Snowflake vs Domo Comparison Table

The table below shows the differences between Snowflake and Domo. Domo is great at business intelligence and data visualization, while Snowflake is great at cloud-based data storage and analytics. Which one you choose relies on how important data management and analytics are to you.

Primary Use CaseData warehousing and analytics in the cloud.Business intelligence and data visualization.
Data IntegrationETL (Extract, Transform, Load) capabilities.Data connectors for various data sources.
Data StorageColumnar storage in the cloud.Cloud-based data warehousing and storage.
ScalabilityOn-demand scalability with auto-scaling.Scalable architecture to handle large datasets.
SQL SupportFull SQL support for querying data.SQL-based querying for data analysis.
SecurityAdvanced security features and encryption.Role-based security and data access controls.
Ease of UseUser-friendly interface for data management.Intuitive dashboard and visualization tools.
Data VisualizationPrimarily focuses on data storage and retrieval.Strong data visualization and reporting tools.
Machine LearningOffers integrations with ML libraries and tools.Limited ML capabilities for analytics.
CustomizationHighly customizable for data storage and query.Customizable dashboards and reports.
PricingPay-as-you-go pricing model based on usage.Subscription-based pricing, tiered plans.
User CommunityGrowing user community and support resources.Active user community and support resources.
Mobile AccessMobile app available for access on the go.Mobile app for accessing data and reports.
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Snowflake vs Domo: User Interface and Ease of Use

Snowflake vs Domo

When deciding between Snowflake and Domo for your data management and analytics needs, the user interface (UI) and how easy it is to use are very important. The user interface (UI) of Snowflake is known for being simple and easy to use. It has a clean, web-based design that makes it easy for users to move from one feature to another. This makes it a great choice for both technical and non-technical users.

Snowflake was made with ease of use in mind, so users can quickly view and analyze their data without having to go through a lot of training. On the other hand, Domo also puts a lot of thought into how easy it is to use. Its user interface is highly appealing and focuses on dashboards as a way to display and analyze data. Drag-and-drop makes it easy for users to make their own dashboards and results, so it can be used by a wide range of people, including business users.

Data Integration and Management

When comparing Snowflake and Domo, it’s important to look at how they handle and integrate data. Snowflake is mostly a data warehouse solution, and it does a great job of integrating, storing, and handling large amounts of structured and semi-structured data from many different sources. It has a cloud-native architecture that makes it easy for all parts of a company to share and integrate data. Snowflake’s unique multi-cluster, shared-data design makes it easy to scale and reduces the amount of duplicate data.

Domo, on the other hand, focuses on business information and analytics. It has built-in tools for integrating data that work well with its analytics platform. Domo connects to different data sources and turns info into insights that can be used. It has connections and ETL (Extract, Transform, Load) features that make it easier to combine data and get it ready for analysis.

Snowflake vs Domo: Data Warehousing Capabilities

Data warehousing is a key part of comparing Snowflake and Domo, which are two of the best tools for data management and analytics. Snowflake is a powerhouse for data warehousing. It has a cloud-native architecture that combines storage and computing in a seamless way. Its unique multi-cluster, shared-data design lets it grow automatically and almost instantly, and it can handle data of any size or complexity. Snowflake works with both semi-structured and structured data, so it can be used in a wide range of situations.

Domo, on the other hand, works mostly on data visualization and business intelligence, but its Data Fusion tool can also be used for data warehousing. With Domo’s warehousing feature, data from many different sources can be brought together and made available for research and reporting within the platform. But it might not be as good as Snowflake’s specific data warehousing features for dealing with large datasets and complicated queries.

Business Intelligence and Analytics Tools

Business intelligence and analytics tools from Snowflake and Domo are essential components that aid organizations in making wise decisions based on data. Users can easily store, manage, and analyze data using Snowflake’s robust data warehousing option. Although Snowflake is well known for its excellent data integration and storage, it also supports data warehouse-specific analytics. Users can connect to Snowflake using famous BI tools like Tableau, Looker, and Power BI. This lets them analyze and visualize data in more depth and in more ways.

Domo, on the other hand, is mostly known for its built-in business data and analytics tools. It has an easy-to-use interface that lets people who aren’t tech-savvy explore and visualize data. The analytics tools in Domo give real-time views, interactive dashboards, and customizable reports that make it easy for teams to track business metrics and keep an eye on KPIs. Also, Domo’s Appstore lets users connect different data sources and third-party apps, which increases the depth and range of what can be done with analytics.

Snowflake vs Domo: Data Security and Governance

Snowflake vs Domo

When comparing Snowflake and Domo, data protection and governance are the most important things to think about. Snowflake is known for its strong security features, such as end-to-end encryption, multi-factor authentication, and strict access rules. It meets a number of industry standards and rules, which makes it a good choice for companies with strict data security needs. Also, Snowflake’s design keeps customer data separate, which protects privacy and stops data leaks.

On the other hand, Domo also puts data security first, but it does so in a slightly different way. Domo works on securing data at both the level of how it is displayed and how users can get to it. It has features like data masking and row-level security that let you control how much data is shown on the site. Domo has strong security features, but it’s important to remember that it may need to be integrated with other tools or platforms to meet certain legal compliance requirements.

Snowflake vs Domo: Scalability and Performance

When comparing Snowflake and Domo, scalability and speed are very important. As a cloud-based data warehouse, Snowflake is known for being very easy to scale up and down. Because of its elastic design, which automatically scales up or down based on demand, it can handle different amounts of work and data without any problems. This makes Snowflake a great choice for businesses whose data needs change over time.

Domo, on the other hand, is more about analytics and business information. Even though it has good data visualization and reporting tools, it might not be as scalable as Snowflake when it comes to large datasets and complex data processing jobs. But Domo is great at giving real-time information and dashboards that are easy to use.

Integration with Other Tools and Services

Snowflake and Domo’s ability to work together is a key part of how useful they are to an organization’s tech stack. Snowflake is known for how well it works with a wide range of tools and services that deal with data. It is easy to add and change data because it works with major ETL (Extract, Transform, Load) platforms like Apache Nifi and Talend. Also, Snowflake can work with data visualization tools like Tableau and Power BI to make sure that users have easy access to data insights.

On the other hand, Domo is great at linking to databases, cloud storage, and web services, among other data sources. It has strong connectors and APIs that make it easy for companies to gather data from multiple platforms. Also, Domo has pre-built connections for a lot of third-party apps, which makes it easier to connect them. When deciding between Snowflake and Domo, it’s important to look at how well they work with other tools and services in your tech environment. This has a direct effect on how well your data workflows and analytics projects work.

Snowflake: Pros and Cons


  • Advanced data warehousing and analytics capabilities.
  • Scalable and secure cloud-based platform.
  • Full SQL support for powerful querying.


  • May require specialized knowledge for optimization.
  • Focused more on data storage than visualization.

Domo: Pros and Cons


  • Excellent data visualization and reporting tools.
  • Intuitive dashboard for business intelligence.
  • Active user community and mobile access.


  • Less focus on deep analytics and data storage.

Snowflake vs Domo: which one should you consider?

Your business needs will help you decide between Snowflake and Domo. Snowflake is a great choice if you need a powerful, cloud-based option for data warehousing that can store and process data very well. It is great at handling large amounts of data and works well with many tools that deal with data.

On the other hand, Domo is a good choice if your main focus is on business intelligence, analytics, and data display. Its strength is that it can connect and analyze data from many different sources while providing an easy-to-use dashboard for exploring data and making decisions. In the end, your choice should be based on the data goals of your organization, the tech stack it already has, and its long-term data strategy.


Does Domo use Snowflake?

Domo’s deep integration with Snowflake lets you optimize your BI design and get data to people using business apps, BI, and data science at speeds you never thought possible.

What is Domo used for?

Domo lets you handle large-scale automation, data governance, and AI model management. With Domo’s easy-to-use platform, IT and data teams become extraordinary business catalysts for everything from data-driven curiosity and decision-making to operational improvements that help the whole company.

Editorial Staff
Editorial Staff
The Bollyinside editorial staff is made up of tech experts with more than 10 years of experience Led by Sumit Chauhan. We started in 2014 and now Bollyinside is a leading tech resource, offering everything from product reviews and tech guides to marketing tips. Think of us as your go-to tech encyclopedia!


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