G2 reviewers report that Mode excels in providing a user-friendly experience for data analysts, with features that allow for quick access to information. Users appreciate how it finds the data they need faster than other SQL-based programs, making it easier to understand complex datasets.
Users say Hex stands out for its ease of use, particularly due to its prebuilt components that require minimal customization. This straightforward approach is highlighted by reviewers who enjoy the seamless querying capabilities from various data frames within Hex.
Reviewers mention that Mode's dashboard functionality is highly praised, with many finding it easy to view and modify dashboards created by others. This collaborative aspect is a significant advantage for teams looking to share insights quickly.
According to verified reviews, Hex's notebook feature is a game-changer for data analytics, allowing users to slice and analyze data effortlessly. This capability is particularly beneficial for those who need to conduct in-depth analyses without losing their workflow.
Users highlight that while Mode offers strong data querying capabilities, Hex provides a unique advantage with its integration of SQL and Python, enabling users to perform complex queries and analyses across projects with the help of Hex AI.
G2 reviewers note that both products have strong support for mid-market users, but Mode's recent lack of reviews may indicate a need for improvement in user engagement and feedback, while Hex has a more active user base sharing their experiences.
How do i average on charts without averaging averages
2 Comments
Official Response from Mode
You can average on charts without averaging averages by returning the unaggregated result set, and then applying our average function on the desired...Read more
Why do companies choose Mode over Periscope Data?
1 Comment
Official Response from Mode
Mode better supports analysts and data scientists with full R and Python notebooks and an editing environment that supports multiple queries and...Read more
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