MongoDB Reviews & Product Details

Easily Deployment in Mongo Cloud Easily Connection by the Mongo Atlas and other GUI Tools Easily Scalable and de-Scalable if needed as it is cloud-based User Friendly, Simple UI with many features Easily reporting and analysis

Cost is very Expensive, well all other features are the best on Mongo Cloud

Storing a Large Amount of Non-relational Data and Non-Structural Data

The best part of mongodb is that CRUD operation is easy and managing the large number of database is simple.No complex joins are required so people can easily learn and implement.

There is no default transaction support.If we need we have to handle it.

We are using CRUD operation for the database for creating, read, update and delete data.Easily we can implement in our projects if we have large collection of database.Mongodb can store any type of file and no size limitation is there,which is a benefit i can say.

Easy Data Modeling, Setup cluster and Mongo compass

Too much depend on OpsManager for Upgrade and other activities.

Bug fixes , Tuning and scaleable

The json-like format of MongoDB data offers a lot familiarity with javascript users. MongoDB data structure is very flexible in a way that not all documents under a collection must have all the defined attributes. The auto generated I.D is always unique for any new document across multiple MongoDB databases which allows for scalability

I always have problems when it comes to adding auto-incrementing fields for documents for instance when I need an auto incrementing I.D

There is not so much need to get the data structure well planned as it is with MongoDB and other NoSQSL databases because of the flexible nature on MongoDB and how easy it is to modify the structure without affecting the documents already stored.

The NoSQL structure of MongoDB collections allows for flexible data modeling where different documents can have a varying optional attributes which would be had to pull off in an SQL relation structured database. This leave room for future adjustment and scaling which would have otherwise required building a new data base structure in SQL databases in case requirements changed

ID fields that increment with each new entry that are available in SQL tables are not primarily supported in MongoDB. You need a plugin or intermediate to advanced knowledge in mongoDB to create incremental fields

MongoDB offers flexible structuring of requirement into data models that can be efficiently represented in the database

Really easy to get running. Plenty of docker containers out there for easy start up/containment. Perhaps my favorite part of MongoDB is that it is very easy to inspect the data base and make changes to individual documents. It is also relatively simple to backup and restore.

The main drawback in my experience is the size limitation of a single document. There are times when I want to cache a large data set but am unable to.

We use mongo to cache results from API responses. Because mongo stores JSON it is extremely easy make the transition from API response to database.

Incredible apparatus that can spare additional time and encourages numerous activities a second. While keeping up huge volumes of reports or databases, we will deliver magnificent outcomes. It is a perfect device, as it offers mechanized arrangement. It can make requests with java-content, which advises us that you go to the database straightforwardly. Thus, the yearly updates have been easy to arrange and furthermore highlight new and significant usefulness.

Being utilized to work with MS SQL, I miss the Management Tool application. I discovered some customer applications for Mongo, as Robomongo, yet at the same time haven't found the one that causes me to feel totally secured and agreeable

We manage a ton of divergent information sources. JSON archives permit adaptability in tolerating the information from outer sources without carefully implementing a great deal of "awkward" rules. With MongoDB, we can rapidly ingest the information at that point adjust rules to utilize the information

Set-up is very easy to install and insert the data very quickly since it is built-in with JSON format and aggregation capabilities.

The report is not organized very well and does not have entirely transactional characteristics.

We use mongo DB in order to store customer transaction data in JSON format. It provides pretty good PHP ecosystem integrations. Pretty simple to execute, easy to learn and very scalable.

MongoDB is an open-source NoSQL DB that is very easy to setup and start developing databases. because mongoDB is a schema-less database it becomes very easy to scale while adding functionality to the applications being developed. this great power comes at almost a free cost for developers who a build prototypes to use and see how fast this database structure is. i love working with mongoDB because of the document hierarchy structure it uses, a document can hold a document and the array BSON model of holding data is so efficient for people who have a background in using JavaScript and plays a vital role in supporting dynamic queries which makes it very easy to scale.

some times when building large applications, there can be data repetitions and a lot of redundant data which can slow down how fast a database can load.

mongoDB makes it easy to build applications using one laguage for both front end and backend of, using javaScript that is a converted into BSON which is a very efficient way of holding and storing data.

mongoDB is one of the best no sql database systems that has shown a lot of potential in managing user data, the creation of centralized databases in collections and documents make it easy to create and manage data on a fly. this way of working is so important to a developer because we use json(JavaScript object notation) which is JavaScript related for creating the database, JavaScript for the front end through use of frameworks like react. so this means that a developer only has to learn one language to build big and complex projects. i love mongoDB because it very fast

when security is an important implementation for your project, some times speed drops in comparison to other database management systems. there a fears of consistence when running mongo on a single node

Easy of scale when working with large data sets in a schema-less way.