Hive Overview

We were using Hive for our project management as it is a great project management tool. These are the following use cases Hive solved for us Task tracking: Hive allowed out users to create and track tasks, assign them to team members, and set deadlines.Collaboration: Hive includes tools for team communication and collaboration, including a team chat feature, the ability to share files and documents, and the ability to leave comments and feedback on tasks.Project planning: Hive offers tools for project planning, including the ability to create and track project timelines, create and assign tasks, and manage resources.Integration: Hive can be integrated with a variety of other tools and services, such as Google Calendar, Slack, and Trello, to allow teams to work seamlessly across different platforms.
Data warehousing: Hive is often used as a data warehousing platform, allowing users to store and analyze large amounts of structured and semi-structured data. It is especially good at handling data that is too large to be stored and analyzed on a single machine, and supports a wide variety of data formats. Batch processing: Hive is designed for batch processing of large datasets, making it well-suited for tasks such as data ETL (extract, transform, load), data cleansing, and data aggregation. Data transformation: Hive allows users to perform data transformations and manipulations using custom scripts written in Java, Python, or other programming languages. This can be useful for tasks such as data cleansing, data aggregation, and data transformation. Integration with other tools: Hive integrates with a wide variety of other tools and services in the Hadoop ecosystem, such as Pig, Spark, and HBase, allowing users to perform a wide range of data analysis and management tasks.

The cost was on a higher side for a small B2B SAAS startup. Also I've felt the UI and system to be a bit complicated. There was a steep learning curve to learn things I believe, which I didn't attempted at that time.