Hive vs. Planview AgilePlace

Hive is great for managing projects with your team. Assigning tasks is simple enough using Hive. It helps manage team goals for the projects. We are able to create reports (via the dashboard) for the progress and updates to provide to the team based on completed stages. Works great for bigger projects.

Incentivized

AgilePlace is a great way for teams, or individuals, to bring visibility to the work in process and in their backlog. The color coding and icon use helps to quickly analyze the type of work or status of the work. The product team is doing a good job at listening to their user's feedback and implementing improvements. Where it falls short is when reporting needs to occur.

• 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.

Incentivized

• Okta Integration: We love using SSO for all our SaaS apps, and as new team members join, they can be automatically joined to the appropriate LeanKit boards.
• Filtering and viewing: Can filter and refine by several fields as well as custom fields. Assigned Users, Tagged, Card Type, Date, etc
• Their analytics and reporting can be helpful for PMs, especially if they have several teams they oversee.

Incentivized

• Organizing tasks by assignees could be better. It's a little cumbersome to check off each person you want. Can you group these?
• I don't really use any view besides task view. Is there something better I could be using?
• It would be nice if attachments showed up in a nicer format, maybe with a preview?

Incentivized

• The formatting of what they call "cards" could be better. They can be clunky if you have a lot of text in just one.
• Needs better support for media, attachments.
• Not the most pretty interface in my opinion, though it works.

Incentivized

we are happy with the tool and the service and continuos improvement of the tool so there is no need yet to change to another one.

Its a easy tool, the best way to organize the workflow but has room for more improvements.

LeanKit isn't the best designed Kanban system I've seen, but overall it's pretty usable. The boards I've used are pretty complex, so it can be difficult to find things. I found that searching and filtering for specific cards was somewhat of a challenge. Dragging a card from one lane to another is kind of a fun way to get things done though.

Incentivized

Not experienced any outage

Incentivized

Larger boards take longer to load

Incentivized

Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.

Incentivized

Every time I have reached out to the AgilePlace support team I have received a timely response in addition to professional & personal feedback. Their consultants are knowledgeable and the management team is happy to jump in and help when needed.

Very easy.

Incentivized

One key difference between Hive and Spark is the way they process data. Hive is a batch-oriented system, which means that it is designed to process large amounts of data in a batch mode rather than in real-time. In contrast, Spark is a real-time processing platform that is designed to handle streaming data and support interactive queries. Another difference is the way they execute queries. Hive uses a SQL-like query language called HiveQL, while Spark supports a wide range of languages and APIs, including SQL, Python, Scala, and R. But we chose Hive due to its simple queries on large datasets and for data warehousing tasks.

Incentivized

Originally, we had evaluated two other tools next to Planview LeanKit: Kanbantool and Kanbanflow. The latter was a close contestant for productive use, as it was also very customizable and a joy to work with and look at. It also had lower user fees and a mobile integration. In the end, we picked Planview LeanKit because of several reasons: Aesthetics: The look was much more clean and professional. Reporting: It was obvious from the start that we could use Planview LeanKit as a tool for improvement. API: We needed to integrate the Kanban into our central systems and Planview LeanKit API was (and still is) a way to do it. Card Headers: This sounds like a simple thing, but the headers above the titles fit our work perfectly and looked perfect, which helped the decision.

Incentivized

Good use cases for small/large teams

Incentivized

• I've gotten to know my colleagues better, knowing their roles makes it faster to contact them to complete tasks and that speed makes us optimize and earn better results
• The jobs speed made us focus on optimization and customization for the client, and that in a better treatment by the client and better revenue
• We can understand which tasks takes more time and to stimate better what we can ask for

Incentivized

• Our team meetings are more direct and quick to get through thanks to the better visibility of the workload
• Easily being able to move cards between team lanes gives instant visibility to where the responsibility for the next step is needed.