Hive vs. Planview AdaptiveWork

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

I've been an AdaptiveWork (Clarizen) admin for the past 14 years, so I've seen much improvement since I started working with the product. I'm very happy we can utilize the hybrid mode by using the cards, I think this was long overdue but it works very well.

Incentivized

• 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

• Many ways to acclimate to the system; documentation, videos, community, and contacts.
• Planview provides scalable customization options tailored to the unique needs of each business unit or department. Easily add or remove fields in the system. As the admin, it was easy to learn how to configure.
• Offers flexibility to adapt to existing systems and align with organizational workflows and processes. There are multiple ways to customize each part of the system to meet our needs.

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

• Planview AdaptiveWork's ability to create relations between work estimates, resources, and time is one of its strengths but also one of its drawbacks. The average user is a little less considerate of the way these things interact with each and the automatic way in which Planview AdaptiveWork will affect one or the other can occasionally create a confusing scenario if the user is unaware of how changing one will affect the other

Incentivized

I give my renewal of this product a 9. It's only because we never know what product may come out next and how other factors in our office political environment may cause impact upon this. If I always had my way, this is what we'd settle on as our de facto project management system.

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

It is easy to configure, intuitive. The customization process is in some ways better than Salesforce.com. It has a great UI. It does however depend on how it's implemented.

The design of it is generally fine, however the ability to data upload people from a spreadsheet is an obvious miss.

Sometimes it is slow when everyone is entering their time on Fridays or Mondays but other than that we rarely see downtime and maintenance notifications are well in advance.

Reports: Quick to Reasonable

Most Ancillary Pages: Quick to Reasonable
(By "ancillary" I mean lesser used/master data maintenance pages - e.g. People, Customers, Individual Tasks, Milestones, etc.)

Work Plan (with 100 sub items): Reasonable to Slow

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

It's a good experience overall. Clarizen was useful when needed. It's mostly needed for advice on how to do more sophisticated actions or how to change something that was set up administratively. It's seldom used otherwise. The product consistently works, the documentation is acceptable, and the generally intuitive product is easy enough for most staff to pick up without much issue.

Incentivized

• We worked with a Project Manager on their side. He was very good about developing a project plan to hit our goal. I think we had weekly or twice weekly calls – very steady cadence over 3 month period.
• Their PM skills were great – kept us on task. For the last week, they sent 2 people on site and they did training for power users. After that a couple of them revisited here

It's easy to access and frequently offered. Often I'm amongst only a few people on the call and get virtually individual attention. I also learn and share with the other attendees and we can see how we've each solved similar challenges.

We have been able to implement AdaptiveWork pretty easily but it requires updating of resource availability and continuous training as roles change and new people join the company. Other documentation is used such as spreadsheets for longer range planning and project approval

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

Planview AdaptiveWork was the right size, at the right price point that fit our customization and integration flexibility. It is intuitive to use but allowed us to add complexity as our needs grew

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

• Planview AdaptiveWork allows us to report out on the status of our real estate projects on a regular basis. We have internal objectives that need to be met for on-time delivery and Planview AdaptiveWork provides us the data to be able to show how the teams are tracking on delivery.

Incentivized