Hive

Project Management Capabilities: Many users have found the project management capabilities of the software helpful in effectively managing their projects. It has allowed for team synchronization and tracking of various stages and milestones of the projects.

Simplicity and Clean Environment: The simplicity of the software has been appreciated by reviewers, as it provides a clean environment without compromising the outcome. The timesheets feature is particularly highlighted for its fast and easy progress tracking.

Interaction Options for Collaboration: Users have found the interaction options in the software beneficial for collaboration and product development. Hive Notes for meetings, in particular, has been mentioned as a useful feature.

Confusing Initial Steps: Some users have found the initial steps of using the platform to be confusing and mentioned that it takes some time to adapt to some of the tools provided. They feel that a more intuitive onboarding process or clearer instructions would be helpful in addressing this issue.

Difficult Navigation: Users have expressed frustration with navigating on the platform, mentioning that the navigation is difficult and some functions are hard to configure. They suggest improvements such as a more user-friendly interface, better organization of menus, and easier access to key features.

Lack of Export Option: Several reviewers have mentioned that there is no data export option in the platform, which they find to be a missing feature for local backup and data analysis outside of the platform. This limitation poses challenges for users who need to maintain their own backups or perform advanced analysis on their data.

Users have made several recommendations based on their experiences with Hive for analyzing and generating reports on big data. The most common recommendations include using Hive for storing and processing large amounts of data. Users highly recommend Hive as a tool capable of handling massive datasets and efficiently processing and analyzing them. They also suggest using Hive for running quick ad hoc queries, praising the flexibility and ease with which they can explore and analyze their datasets without the need for complex programming or extensive knowledge of query languages. Additionally, users recommend considering other similar tools like Spark for similar features, especially noting Spark's in-memory processing capability that can significantly improve performance compared to Hive's disk-based processing. Overall, users strongly recommend using the latest version of Hive for faster and better big data analysis, especially for building a data warehouse on large amounts of data.