Kanban Tool vs. MongoDB

Kanban is well suited for a fast-paced working environment for larger teams who want continuous communication with users. Kanban is good for rapid development and daily meetings for updates and statuses. Kanban is less suited for smaller teams or groups who don't require collaboration and constant communication with involved users. Kanban is time-consuming and it takes additional effort outside of your regular work to maintain and manage the tool.

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If asked by a colleague I would highly recommend MongoDB. MongoDB provides incredible flexibility and is quick and easy to set up. It also provides extensive documentation which is very useful for someone new to the tool. Though I've used it for years and still referenced the docs often. From my experience and the use cases I've worked on, I'd suggest using it anywhere that needs a fast, efficient storage space for non-relational data. If a relational database is needed then another tool would be more apt.

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• It provides a good basic overview of where tasks are on a timeline (particularly helpful for a pull-based approach).
• It provides a good collaborative space to have multiple folks commenting on multiple tasks.
• It does a good job of managing very basic visual elements of an agile development cycle.

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• Being a JSON language optimizes the response time of a query, you can directly build a query logic from the same service
• You can install a local, database-based environment rather than the non-relational real-time bases such a firebase does not allow, the local environment is paramount since you can work without relying on the internet.
• Forming collections in Mango is relatively simple, you do not need to know of query to work with it, since it has a simple graphic environment that allows you to manage databases for those who are not experts in console management.

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• Kanban does not show the task or story clearly. You have to open the project separately to view the details of the project.
• Kanban gives a higher level project management view but it lacks customization and personal settings features.
• I would like to see Kanban provide mobile access to their tool, data, and board. This would be very useful for all companies and provide an increase in efficiency and productivity.

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• An aggregate pipeline can be a bit overwhelming as a newcomer.
• There's still no real concept of joins with references/foreign keys, although the aggregate framework has a feature that is close.
• Database management/dev ops can still be time-consuming if rolling your own deployments. (Thankfully there are plenty of providers like Compose or even MongoDB's own Atlas that helps take care of the nitty-gritty.

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We are more likely than not to renew our use of Kanban. Even with its limits, it still is a good product that fulfills our needs.

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I am looking forward to increasing our SaaS subscriptions such that I get to experience global replica sets, working in reads from secondaries, and what not. Can't wait to be able to exploit some of the power that the "Big Boys" use MongoDB for.

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The integration with Teams is well suited. This works wonderful for my
company. Our team can easily prioritize tasks based on their importance.
It help our team identify and reduce inefficiencies in workflow. With
great visibility in data our team can make informed decisions. Ensuring
clear accountability and responsibility of team members

NoSQL database systems such as MongoDB lack graphical interfaces by default and therefore to improve usability it is necessary to install third-party applications to see more visually the schemas and stored documents. In addition, these tools also allow us to visualize the commands to be executed for each operation.

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This is the best tool I had a chance to work with- since I started to use it I saved a lot of time and I made my work go smoothly.

Finding support from local companies can be difficult. There were times when the local company could not find a solution and we reached a solution by getting support globally. If a good local company is found, it will overcome all your problems with its global support.

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While the setup and configuration of MongoDB is pretty straight forward, having a vendor that performs automatic backups and scales the cluster automatically is very convenient. If you do not have a system administrator or DBA familiar with MongoDB on hand, it's a very good idea to use a 3rd party vendor that specializes in MongoDB hosting. The value is very well worth it over hosting it yourself since the cost is often reasonable among providers.

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We've only tried JIRA Agile and KanbanFlow before. Kanban Tool was the one that our team actually liked and enjoyed working with. Also - it's been much easier to get started with and to understand than some of the other two (JIRA in particular). Although JIRA has many more features that we would have possibly used, the user feedback on it was so poor we were afraid that the negativity would create time wasted and less "job satisfaction" amongst the team.

We have [measured] the speed in reading/write operations in high load and finally select the winner = MongoDBWe have [not] too much data but in case there will be 10 [times] more we need Cassandra. Cassandra's storage engine provides constant-time writes no matter how big your data set grows. For analytics, MongoDB provides a custom map/reduce implementation; Cassandra provides native Hadoop support.

• Better communication and organization of ongoing projects.
• We are a very small team, with many areas to work on. Having everything in one system gives us a lot of visibility.
• Greatly reduced costs from using other tools that were much more expensive.

• Open Source w/ reasonable support costs have a direct, positive impact on the ROI (we moved away from large, monolithic, locked in licensing models)
• You do have to balance the necessary level of HA & DR with the number of servers required to scale up and scale out. Servers cost money - so DR & HR doesn't come for free (even though it's built into the architecture of MongoDB