GoodData vs Qrvey

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.

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.