Alternatives to MongoDB
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We have 1 review for MongoDB. The average overall ratings is 4.0 / 5 stars.
Overall Opinion: As far as database tools go, it's worth noting that MongoDB is one of the fastest. Depending on the needs of your project, it's difficult for other database tools to compete with the speed and accessibility that MongoDB offers. Of course, there's a caveat. Because of the way in which MongoDB is designed, it's not particularly effective for projects that require a lot of manual writing. For instance, if you're planning on using MongoDB for accounting purposes, you're better off looking elsewhere. Since MongoDB requires a lot of oversight on the part of the user, it can be difficult for some people to get a grasp of it. If you're hoping for MongoDB to verify the integrity of your data, and ensure that it's properly backed up in the event of a crash, then you'll inevitably be disappointed. While this entry barrier is sure to scare off some people, that doesn't mean the application doesn't have its uses. If you're able to use MongoDB as it's intended, you'll quickly find that it's a remarkably adaptable piece of software that can tackle a variety of challenges head-on. If speed is your biggest concern, then it's hard not to recommend MongoDB. Aside from its innately fast loading times, MongoDB also allows users to connect additional machines in order to bolster its speed and performance even further. In fact, MongoDB is specifically designed to prevent multiple machines from taking on an asymmetric amount of the performance load. For projects that use a variety of different data points, MongoDB is the clear winner. Since data can be seamlessly introduced into the application from email, videos, and social media posts, it makes the most sense for businesses that already use these sources to begin with. As long as you understand MongoDB's weaknesses, and lean into its strengths, you'll be sure to get everything you need out of the program.
Pros: Unstructured data can be compiled and operated on together seamlessly. Sharding allows for faster load times and more complex operations. Users can increase capacity by adding more machines.
Cons: Particularly demanding when it comes to data maintenance. Doesn't offer a lot of support for write-heavy applications. Lacks native data validation.
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This page was composed by Alternative.me and published by Alternative.me. It was created at 2018-04-28 04:04:55 and last edited by Alternative.me at 2020-03-06 07:49:30. This page has been viewed 8904 times.