MongoDB vs. Nextcloud

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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For a SOHO business, this solution is ideal. You don't need to administrative overhead of other products like GSuite, and it saves licensing costs. The maintenance effort is minimal as long as you use their default applications. Migrations to newer versions can be done with a few commands and run automatically. If you're planning on using Nextcloud in large deployments with many users, you'll start to see higher costs on your resources and maintenance. There will be a point at which Gsuite becomes easier to manage.

• 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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• Remote collaboration platform with just the right tools.
• Ease of access from any device, anywhere.
• Solid templates for development teams to collaborate without distraction.

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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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• Slow in comparison to other solutions
• May be complex for the start since there are lots of apps and features
• May be not focusing on core topics

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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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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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It's easy to use and easy to maintain. It also provides many useful programs and plugins to make work even more productive; just check what's available and how you could use them to your advantage. Also, check the Nextcloud Files app on your phone, which makes everything available at the touch of your fingers.

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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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I never needed support as everything always worked fine. The documentation on Nextcloud website is extensive and clear. The community is very active on the forum and should support you if you don't already find what you are looking for.

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 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.

Nextcloud stacks up pretty well against Mattermost and ownCloud. I really appreciate the fact that Nextcloud seems to integrate with other products pretty seamlessly and allows for extensibility that our product team can extend and improve functionality without a tremendous ramp-up time. We once used ownCloud in previous years, but they went the wrong way, and have found Nextcloud to be the right direction over time.

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• 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

• It allowed us access to our files from any device over the internet.
• It helped manage and organize our file sharing with third parties.
• It provided a secure wrapper for accessing files.