Pellucid domo tableau software#

Domo also notes that it further lowers TCO because the extract, transform and load (ETL) tools required are included in the platform. In those cases, Domo would not be an option.ĭomo, however, also claims the number of administrators required to manage a Domo environment is substantially fewer than with Tableau, which may factor into the total cost of ownership (TCO) analysis for larger organizations. However, there are plenty of organizations where storing sensitive data in the cloud is a non-starter. Domo was developed later as a cloud-native application. The primary difference is the degree to which organizations want to rely on the cloud to distribute reports.

Both platforms, however, are more than adequate to meet the data visualization needs of most end users. Tableau has an overall edge in terms of the wider variety of pre-packaged visualizations it provides, including now geospatial analytics, that have been under development for close to two decades, compared to the more than 300 data visualization dashboards provided by Domo. What are the Similarities & Differences between Domo and Tableau?īoth Domo and Tableau provide a wide variety of ways to visualize data using dashboards. But as both Domo and Tableau continue to warily circle each other, a titanic struggle for control over the future of data visualization and analytics is clearly in the offing. After having been around for the better part of two decades, there are more Tableau users than Domo users. It’s still early days as far as the battle between Domo and Tableau is concerned. Tableau has also been moving to close the data gap by investing in a Hyper Data Engine to increase the amount of data it can process in memory. But for now, Tableau continues to be a little more flexible when it comes to deployment options. That approach may one day soon enable Tableau to drive a strategy spanning a true hybrid cloud.

Pellucid domo tableau software#

Naturally, that shift to the cloud has not been lost on Tableau, which now offers its own version of a software-as-a-service (SaaS) application in addition to providing instances of its software running on-premises and on public clouds. In fact, one of the primary benefits of being born of the cloud is that Domo can hold more data than Tableau. Domo contends that there is no differentiated value to be provided from deploying analytics applications on-premises. Just as importantly, Domo has been making a cost justification case for transitioning to its cloud platform by enabling organizations to eliminate islands of BI applications in favor of a cloud-based approach that makes it much simpler to share reports with end users anywhere in the world. That approach also makes it simpler to aggregate the massive amount of data that will be required to derive value from analytics tools infused with machine learning algorithms. It assumes that it’s only a matter of time before all analytic applications are pushed into the cloud as the volume and variety of data that needs to be analyzed continues to increase.

Tableau is an early pioneer of the category that got its start by enabling departments to set up their own servers to run analytics and create reports employing a patented VizQL engine invoked via a graphical user interface.ĭomo, conversely, was born of the cloud. Domo and Tableau started their data visualization and business intelligence (BI) journeys from two very different places on the IT map.