Pellucid domo tableau5/17/2023 ![]() ![]() These applications support integrating data where and when needed. Intelligent Applications: Domo allows users to build custom low- and no-code applications. Integrate with SSO for maximum security and flexibility. ![]() ![]() Use Domo’s established roles and permissions, or build your own. Governance: Control who has access to data with robust and flexible data governance tools. Plus, because Domo was built to be user-friendly, workflows are intuitive and require far fewer clicks than Tableau. Queries on large datasets that take several minutes on Tableau are completed within seconds on Domo. Speed: Because Domo is built for the cloud from the ground up, it can take advantage of the speed and flexibility of the cloud. It also supports more advanced users giving them the options to build complex data science workflows and work with custom SQL scripts, R or Python. Usability: Domo is built to be intuitive, allowing users from less technical backgrounds to build analyses and visualizations. Plus, with powerful ETL tools, you can easily build custom connections to any data source. With more than 1,000 pre-built connectors, Domo allows you to easily connect your data from nearly anywhere, including your existing data lake or data warehouse. Integrations: While Tableau has the ability to connect with data sources, few connections are as easy to build as it is through Domo. These cloud-based dashboards can be built on real-time analytics and embedded directly into key stakeholders’ workflows and tools. With an intuitive UI, users can easily create shareable dashboards with a large variety of visualizations through Domo’s native chart library. Is this a tool that focuses on one area and will require multiple additional tools to meet your needs? Or does it include multiple features that can meet all of your needs?ĭashboards: Domo includes tools to build custom and ad-hoc business intelligence dashboards. But you also need to understand how the tool fits into your whole ecosystem of end-to-end BI. When considering the right tool for your cloud BI, you need to look at how the tool performs in the core analytics and business intelligence features. Tableau has been built to support complex data science (recently strengthened because of their acquisition by Salesforce) and analytics, allowing experts in data to build out analyses with a wide suite of visualization tools. It provides robust capabilities for analyzing data and creating interactive visualizations. Tableau is a BI analysis and visualization tool. Domo supports every phase of BI and every type of BI user: data analysts, data scientists, and even business users. It’s a commonly used tool and is consistently mentioned in industry reports about business intelligence and analytics.īut how does it stack up with other tools on the market? If you’re considering implementing a cloud BI solution or analyzing whether you currently have the best tool for the job, we’ve pulled together some notes to help you evaluate which tool is the right one for your business.ĭomo is a full-service, end-to-end business intelligence solution that supports every phase of business intelligence: from integration and connection, to transformation and data pipelines, to analysis and visualization, to exporting and sharing embedded analytics. If you’re a data analyst, you’re likely familiar with Tableau. The differences between Domo and Tableau Domo vs. ![]()
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