Top Domo Everywhere Alternatives & Competitors For 2024

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.

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.

Logi Symphony is a web-based business intelligence solution that connects to a range of data sources, both on-premise and in-cloud, to source and optimize business-specific data. Users who reviewed its functionality praised the solution for its out-of-the-box features and extensibility to create tailored business solutions. With a vast library of visualizations, the platform allows users to create scalable and interactive dashboards to power data-driven decisions. Though it offers multiple graphs and charting options, some users who mentioned visualization said that the tool needs better integration with advanced charts, maps and D3, among others. Around 78% of users who reviewed reporting said that they found it easy to create and share impactful reports with stakeholders, though some users reported that generating reports in PDF format was difficult. The tool is intuitive and easy to use, though users who reviewed its data preparation capabilities said that it requires programming skills to manage more complex visualizations. The solution is not without its limitations though. Of users who reviewed its functionality, some said that the complexity of the tool can be overwhelming and some updates have resulted in broken features, requiring script rewrite. Around 62% of users who reviewed training said that that help documentation is lacking in best practices and use case samples for complicated data reporting scenarios. There were numerous complaints from users that the vendor’s apparent focus on introducing new add-ons translate into extra costs for them, while the core product — Logi Info — seems to have plateaued as far as new features and improvements go. Though SaaS-based businesses might find the pricing model workable, the platform can be cost prohibitive for many users due to rising licensing costs. In summary, Logi Symphony is an excellent platform to create a high-end website or application, with powerful descriptive and predictive analytics, superior embeddability and big data integrations.

User reviews from the past year paint a mixed picture of Qrvey. While many appreciate its intuitive drag-and-drop interface, robust data visualization capabilities, and seamless integration with existing applications, some users have expressed concerns about its pricing model and occasional performance hiccups. Qrvey shines when it comes to its no-code approach, allowing users to build complex analytics dashboards without writing a single line of code. This is particularly valuable for businesses that lack dedicated data science teams, as it empowers non-technical users to generate insights independently. However, some users have noted that Qrvey's pricing, which is based on data volume, can become prohibitive for organizations dealing with large datasets. Additionally, while generally praised for its performance, some users have reported occasional slowdowns, particularly when handling complex queries or large datasets. Qrvey's strength lies in its ability to democratize data analytics, making it accessible to a wider audience within an organization. Its no-code platform and intuitive design make it ideal for businesses looking to empower non-technical users to explore data and generate insights. However, organizations dealing with massive datasets might find its pricing structure less appealing, and occasional performance issues might require some patience.

Want to make a bold move with your data and know if this is the right solution to accomplish this? User reviews from the last year suggest Bold BI is a solid choice for embedding analytics, but it's not without its quirks. Users praise its drag-and-drop interface and extensive data source compatibility, making dashboard creation a breeze, even for non-techies. They also appreciate the JavaScript SDK, which allows for seamless integration with existing applications. However, some users have voiced concerns about the level of support provided and occasional bugs encountered. What sets Bold BI apart is its modern data architecture, which avoids the use of proprietary cubes, unlike some competitors like Microsoft Power BI. This translates to greater flexibility and control over your data. Users also highlight the platform's scalability and "no-surprises" licensing as major pluses, making it a cost-effective solution for businesses of all sizes. Overall, Bold BI seems best suited for companies looking for a user-friendly embedded analytics platform with robust integration capabilities and a transparent pricing model. However, potential users should be aware of the reported support issues and occasional bugs before taking the plunge.