GoodData vs Domo Everywhere

GoodData supports the entire data analytics process, from data integration to data modeling, visualization and reporting, and empowers enterprises to focus on metric-specific data to power decision-making processes. It offers multiple dashboard creation and customization options to design tailored visualizations via easy drag and drop functionality to display business-specific insights. Though many users who mentioned its UI said that the interface was user-friendly, some said that it looked dated. A majority of users said that the tool integrated well with data sources and third party applications, though quite a few said that the hourly data refresh made it difficult to share the latest data with shareholders in real time. With a multitude of out of the box reports and good layouts coupled with versioning, the platform rated well with users for the creation and scheduled sharing of reports to tell data stories, though some said that customization options for reporting were limited. Citing performance, almost 90% of users said that the platform was slow when processing large amounts of data and for larger reports, they were forced to export the raw data as a CSV file to use in another application. The vendor has mentioned this limitation in their help documentation, and it seems to be something that users will have to live with for now. In regards to customization and filtering options, as well as chart design quality, some users mentioned that the platform came up short and they needed to shift to other tools for visualization. Many users who reviewed user adoption said that the learning curve was quite high, possibly because of the platform’s proprietary language, Multi-Dimension Analytical Query Language, or MAQL. In summary, GoodData enables robust data transformation and metrics reporting to deliver embedded analytics at scale and seems to be well-suited for enterprises with less data complexity.

For users with typical embedded analytics needs, Domo Everywhere presents a mixed bag. Fans rave about its ease of use and visual storytelling tools, enabling anyone to explore data without coding - "Like having a personal data chef," gushed one reviewer. Its ability to unify data from various sources is another major pull, breaking down silos and offering "a single source of truth" for complex operations. However, Domo isn't without its detractors. Some find the learning curve for advanced features like custom visualizations "steeper than a Matterhorn climb," requiring technical expertise beyond basic analysis. Concerns also linger about its offline capabilities, with internet connectivity still crucial for most functionalities - "a deal-breaker for field teams," noted another user. While pricing starts reasonably, advanced features and high data volumes can quickly inflate costs, making some feel Domo becomes "pricey for its complexity" compared to alternatives like Looker or Tableau. Ultimately, Domo Everywhere shines for its intuitiveness and data unification, empowering non-technical users with valuable insights. However, its limitations in offline access, advanced features, and potential cost escalation leave some users yearning for a more well-rounded package. As one reviewer put it, "Domo is like a Ferrari: powerful and flashy, but not everyone needs a race car for their daily commute." So, if your embedded analytics needs prioritize accessibility and a holistic view, Domo could be your champion. But for those needing robust offline functionality, advanced customization, or a more budget-friendly option, exploring other contenders might be the wiser route.