Differences Between Domo vs Tableau
Tableau is a Data Visualization champion with a self-service data discovery feature. Tableau covers analytics features like data discovery, data visualization, survey analysis, time-series analysis, social analytics, etc. In order to provide mobile BI solutions, tableau also integrates with R statistical programming language. Domo analyzes as well as cleanse customer data from any source. It makes extract transform and load process easier respectively so that you can analyze data without any SQL training. It has a Data Fusion feature to merge data from multiple data sources. Domo is a cloud-based dashboard that provides a variety of visualization with lower pricing. Thus, domo is proving itself to be a good competitor of Tableau.
Key Differences Between Tableau and Domo
Both Tableau and Domo are popular choices in the market; let us discuss some of the major differences between Tableau and Domo:
- Dashboard
Tableau provides features like custom filters and drag-drop functionality which helps the user to create interactive dashboards and share them with the help of Tableau online or server. Some users find the tableau interface not so intuitive.
Domo training provides a more pleasant user experience with a number of pre-built pages that can self-assemble based on data inputs or a user can drag-drop them if required.
- Analytics Capability
Tableau provides the functionality to adopt local processing power and synchronize data quickly. This is also referred to as In-memory and In-database analytics architecture. It also covers analytics features like data discovery, data visualization, survey analysis, time-series analysis, social analytics, etc.
Domo has Data Fusion features to merge data from multiple data sources. Domo does all its processing in a cloud by collecting data from any data source. Domo training has the capability to analyze as well as cleanse customer data from any source. It also makes the extraction, transformation, and loading process easier, since you can analyze data without any SQL training.
- Data Connectors
Both Tableau and Domo provide data connectors to connect with multiple sources, thus there is no need to perform any custom configuration or write any code.
- Operating System
In terms of c, Tableau can work with both Windows and Macintosh OS environments.
Domo also works with both including Windows mobile.
- Communication
Tableau provides communication in both ways: on-premise as well as cloud-based with Tableau Desktop and Tableau cloud.
Domo Does not provide on-premise communication.
- Offline Analysis
Tableau provides an offline analysis feature when there is no need for internet connectivity.
Domo does not give provision of offline analysis.
- Data Sources
Tableau provides support to extract data from various kinds of data sources.
Domo provides good support to analyze data obtained from various data sources.
- Data Extraction
The data extraction process is very easy with a tableau.
Data extraction with Domo is a little cumbersome.
- Speed
Tableau has the capability of quick data analysis by providing two ways of data collection: In-memory connection and live connection.
On the other hand, Domo provides a One-click application and workbench, to connect with different on-premise tools and upload data without any help from IT staff.
Conclusion
Taking into account all the features of Tableau and Domo we can say that both tools allow the same task of mining data for business and data visualization for better analysis and decision making. Both offer many data connectors for horizontal integration and have user-friendly dashboards with intuitive features. Both Tableau and Domo also offer mobile apps. However, the biggest difference is in terms of pricing. If you want to go for a Cloud-based application and share access among the whole team, go for Domo. It is more affordable than Tableau in terms of cost. If you want to provide desktop access to a few power users, you can choose tableau.
