Choosing the right business intelligence (BI) software can make the difference between a company meeting business objectives or falling by the wayside. These solutions don’t just help businesses manage their data—they can take business data from multiple sources to generate valuable insights for a company that can drive their business decisions and fuels them for success.
With so many business intelligence products on the market today that offer unique features and capabilities, selecting the right one to suit your company’s needs is vital. Domo and Tableau are two of the most popular BI tools on the market, but they each have different approaches to their key features. Keep your business’s unique needs in mind as you consider Domo and Tableau’s similarities and differences.
What is Domo?
Domo is an end-to-end business intelligence solution that provides users with data analysis and visualization features. This product can utilize a business’s information from multiple data sources and transforms its data to leverage it in new ways.
With its broad integration capabilities, this solution enables users to get the most from their data and generate app-led workflows that can help them take on an intelligent approach to business challenges.
What are the key features of Domo?
Domo offers more than 1,000 pre-built connectors and other data connection methods so users can leverage data from each area of their business processes. Data is then processed within the system, where its ETL, SQL dataflow, data science, and data preparation features can transform the data to support business activities.
The software solution also provides machine learning (ML) capabilities, enabling users to train their ML models and develop new ways to generate valuable insights from their datasets. The product also comes with features for data querying, and users can even query and visualize the data within data warehouses without needing to duplicate it.
Domo users can generate over 150 chart types and thousands of custom maps to visually represent user data. The reporting and dashboard features of the product make it easy to understand and represent data through powerful visualizations. These can even be shared with others using the platform’s collaboration features.
Finally, the tool’s self-service and embedded data analytics features can support users in their business processes, allowing them to use their data to answer questions and develop plans based on their data insights.
What is Tableau?
Tableau is a data visualization solution that helps users better understand and analyze their business data. The integrated platform can connect with many data sources to access business data for analysis and valuable insights.
With AI/ML capabilities, data management, and visual storytelling features, the intuitive analytics solution provides plenty of ways for users to make sense of and leverage their data. The system also provides dashboards, advanced deployment monitoring, content management, and various options for sharing custom views.
Therefore, through this solution, everyone can access the right data visualizations at the right time to support their business processes.
What are the key features of Tableau?
Tableau’s features enable users to take their data to the next level. Its visualization options can help users make sense of their data and manage their data activities through their dashboards. In addition, the solution lets users interact with their data to identify key insights and create and share custom views.
When it comes to sharing, Tableau has several features to assist users with their collaboration efforts. For example, users can create subscriptions for other people and themselves, and authorized users can comment on dashboards and visualizations within the platform. Users can even set up data-driven alerts and create/publish workbooks and data sources.
Tableau also has data preparation capabilities, as users can create, edit, and modify their data flows to meet their needs. They can also publish and run data flows, schedule their data flows, and monitor the health and performance of their flows to ensure that everything is running smoothly.
Another beneficial aspect of Tableau would be the governance features. The system provides several functional capabilities for managing content and certifying data sources. In addition, the governance tools are excellent for ensuring the quality of users’ data.
Domo vs. Tableau: Deployment methods
Domo enables users to build their own apps and solutions through its infrastructure and development tools. The Domo App Framework provides features for developers in a familiar development environment so that they can build scalable data apps that are customized to their needs.
Domo provides an entire integration studio and over 1000 connectors, so users can easily access their data and deploy their data products faster. The Domo interface is also mobile-optimized, so users can access their data remotely.
As an open-cloud platform, the Domo system supports hybrid deployment options so users can develop data apps with data sourced from any cloud or across multiple clouds. Additionally, with Domo Workbench, users can simply and safely move their data into Domo from their on-premises systems.
Tableau supports on-premises, cloud, and hosted deployment options so that users can take advantage of its self-service tools at scale with unified data from various sources. Buyers can choose to utilize the Tableau Server or Tableau Cloud products depending on their technology requirements.
Tableau Cloud scales and serves thousands of sites within a multi-tenant environment. The software system provides users with the freedom to utilize its features effectively within their IT infrastructure, as it supports a hybrid data architecture that includes on-premises, private cloud, and public cloud networks.
Tableau also provides mobile app deployment, so any workbooks created are accessible from mobile devices and are automatically mobile-enabled. Users can also edit workbooks and create new views in their workbooks and can access these capabilities with embedded visualizations in custom mobile apps, through a mobile browser, and within the Tableau Mobile app.
Domo vs. Tableau: Data analysis and visualization capabilities
Domo’s data analysis features help users visualize and interpret their complex data in a variety of ways. Users can choose from the platform’s collection of visualization options to transform their data into maps, data science charts, tables, Trellis charts, and more.
Domo Analyzer is a tool that helps users analyze their data with predefined filters, allowing them to reach conclusions and answer questions quickly. Through the drag-and-drop interface, any user can easily sort and filter data without impacting other users’ views.
The solution’s integrated data science features can provide even more insight into users’ data with natural language queries, automated data discovery, and automated machine learning capabilities. Users can even adjust the appearance of their analytics through the branding toolkit to fit their business’s brand identity.
Tableau analyzes users’ datasets to uncover patterns and trends and identify key insights. The system uses data science and analytics to run and scale users’ ML models and transform their data into useful visualizations. Some of its other helpful features include R and Python integration, rapid cohort analysis, sophisticated calculations, and predictive capabilities.
As a solution that focuses on enabling users to understand their data through visualizations, it provides many options for transforming data through its analytics platform. Tableau’s technology can translate drag-and-drop actions into data queries, so it’s easy to learn from data and uncover actionable insights.
Tableau’s augmented analytics features can allow users to reach insights and find the answers to their important questions. Users can ask questions regarding their data in natural language, or they can use no-code AI to make smarter business decisions by leveraging the business science technologies that Tableau has to offer.
Domo vs. Tableau: Integrations
Domo lets users connect data from the cloud, on-premises devices, and more. The system supports bi-directional connections between all systems and ways for securely connecting to on-prem data. Users can pull data from their files and move them into a single platform, so it is easy to see all of their important data in one place.
Domo even has proprietary systems connectors. Users can build their own data connections using secure SDKs, HTTP server-to-server callbacks, or by generating custom connectors through the Connector Dev Studio.
Domo has robust capabilities for integrating data from different sources. However, as a solution that works to connect data of large volumes and from various sources, this can cause challenges with the speed at which data is extracted and analyzed in some scenarios.
Tableau has a wide variety of native data connectors for accessing data from various files and databases. The Tableau partner ecosystem allows users to get more from their data pipelines and IT infrastructures.
Users can even extend their Tableau systems with the Extensions API, letting users interact with their data from other sources directly in the system. Additionally, they can integrate embedded, interactive analytics from other applications into their Tableau dashboards for easier access and use.
While users can access data through the system’s many different integration options, Tableau cannot work with uncleaned data. Therefore, users would need to clean their data before connecting it to their Tableau systems.
Domo vs. Tableau: Ease of use
Domo is a service that provides solutions enabling developers and non-technical users to leverage their data. By not requiring coding knowledge, more users are able to analyze their data to reach actionable insights.
Domo provides users with access to Domo University, which contains learning content to help them use and optimize the Domo software. Still, many online reviewers have found the solution to be challenging to learn.
While users do not need to understand coding to benefit from Tableau, incorporating other scripting languages can be helpful in avoiding performance problems when analyzing complex data tables.
Also, the system features single-value parameters that must be updated manually each time they are changed. Finally, its data preprocessing capabilities are limited, so analysts will likely require a separate product like Tableau Prep to perform data cleansing.
Domo vs. Tableau: Which is the better data analytics solution?
Domo and Tableau each provide excellent features for business intelligence processes, but which solution is the better data analytics tool? The answer depends on each organization’s unique needs.
Domo is an ideal option for any organization looking to use a hybrid solution that can help them transform and leverage their data. Additionally, professionals who require tools with data governance features will appreciate Domo’s intelligent tools and certification processes.
Of course, analysts who handle numerous data sources are sure to enjoy Domo as well, as the solution’s many connectors make it easy to access, clean, and utilize important data, saving users time and effort.
Alternatively, Tableau can be a fantastic resource for organizations that want to take advantage of modern business intelligence through visual representations.
The product can also be extremely helpful for anyone needing to save time generating useful reports and visualizations that will allow them to better comprehend their data. Additionally, with their offline-analysis capabilities and collaboration features, it’s great for users that need to easily access and share their data findings on the go.
Still not sure which solution is right for you? Compare Domo and Tableau with other top solutions on our list of Best Business Intelligence Software.