Hive vs. Kintone

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

Kintone is great if you want a software that will help you in managing your data, and keep track of which tasks are assigned to whom. It also helps to streamline communication and information in one central place. However, it is not for you if you are looking for something complex that has to manage a lot of data.

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

• Flexibility. You can build apps (without coding) to serve a wide range of processes and projects.
• Ease of use. The interface is intuitive.
• Training. There are resources readily available to train new users. Even starting from scratch, I felt like I was up to speed in just a few hours.

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

• I feel that Kintone is not well enough known yet. This means that other apps/APIs are not necessarily easy to connect with Kintone. Yes, you can use Zapier though for interfacing with other apps.
• It would be great if it could give more customized options to change the look and format of certain things. You can make price quote apps, for example, but have to rely on 3rd party apps or programming skills to customize the look and fields.
• If you make a table as an input field, it cannot connect to other internal Kintone apps for lookups and such.
• I think there is more potential to make more customized data graphs.

Incentivized

I still think that there's a room for Kintone's future, and high expectations for them in additional features and innovative tools and supports. Truly hope that they will support email features, and standardized supports for various plug-ins with the 3rd party software and apps. In the meantime, we will have to consider our ways of doing our work in all aspects

Incentivized

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

Kintone is agile app and most of the time we can easily come up with new apps. However, there should be more feature-based drag and drop and or a visual-based usability, as we all want to minimize the number of clicks and dropdown menu selections as much as possible. Thanks.

Incentivized

Never had an issue with this.

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No issues.

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

The support from Kintone has been excellent. On numerous occasions, customer service representatives have proactively reached out to us to see if we needed help with anything. They also scheduled Zoom calls one month after we went live to go over any questions we had. Additionally, they assigned a local account representative to check in on us periodically to provide any necessary help.

Incentivized

Everyone has their own tastes of things and way they want to work. Asking them to adapt to the changes with the new tools or apps is always difficult. We would want to start with a very small but best example within the organization, which in our case was that the employees will not be bothered by the bosses by being asked to find the documents, status of the progresses, or major things/requests/projects.

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

Kintone is the easiest product to create from and the cost is the lowest I believe. In addition, reconfigurability and extendability are great. If you look for a low code tool, you can try Kintone. But as same as another low code tool, don't expect too much.

Incentivized

I could see this work for all departments if implemented correctly.

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

• It used to take us 15-20 minutes to create a quote for a client. It now takes less than 3.
• It allows a few of our employees to work remotely, which was essentially impossible prior.
• We can see raw data for success/failure rates, which we actively use in our employee review process.

Incentivized