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Highly scalable database management
What do you like best about the product?
MongoDB provides no sql based database structure which is very useful now a days.
What do you dislike about the product?
No foreignKeys, Primary keys, it causes extra load on queries due to lac of joins
What problems is the product solving and how is that benefiting you?
Scalability
Large data manage
fast query response with indexes
Large data manage
fast query response with indexes
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The best free database management solution!
What do you like best about the product?
First of all it's free. Although it is free, it gives the best solution for big data management. Also it gives an option that compress big amount of data into smaller sizes.
What do you dislike about the product?
Some features are unfortunately not free. That premium features are so expensive.
What problems is the product solving and how is that benefiting you?
I reduced the size of my big database with MongoDB.
Recommendations to others considering the product:
If you need free and stable database management, no doubt to use it.
Best nosql database
What do you like best about the product?
Json data can be put,
Schema need not be defined.
Great api support with JavaScript and python.
User friendly and Scalable
Schema need not be defined.
Great api support with JavaScript and python.
User friendly and Scalable
What do you dislike about the product?
Not easily available in cloud services like aws like RDBS. Need to do lot of configuration in server
What problems is the product solving and how is that benefiting you?
Building e commerce sites. Storing user data and storing many custom application data
Best No-SQL DB out there.
What do you like best about the product?
What I like best is the ease of configuration and lightweight compared to other databases. I was able to get the maximum out of MongoDB features, which do not come with relational DBS as my project requirements.
What do you dislike about the product?
I have not faced issues with MongoDB, and I could figure out and fix the challenges I face because of strong community support. Therefore no adverse comment on it.
What problems is the product solving and how is that benefiting you?
I required a non-relational DB for some of my projects, and MongoDB did it perfectly without issues. Scalability was one of the key benefits I have gained through the use of this database. I am happy with its usage.
Recommendations to others considering the product:
Best DB if you need a document related and Scalability is your priority. You can do tons of stuff that you can not do using relational databases with MongoDB. I love it. I can recommend this to anyone without a second concern.
Really useful NoSQL Database program
What do you like best about the product?
I have been using the MongoDB database for quite a while now. The best thing is that you can create and manage the MongoDB database either on your local machine using mongo bash or store it in the cloud using MongoDB Atlas. MongoDB is the best NoSQL database program you can find. With the help of GUIs like NoSQL Booster, one can easily manage MongoDB databases. Also, you can write SQL queries to query the mongo db, which is the best part.If your database doesn't have a fixed schema, MongoDB provides this feature for you to change your schema as and when required, which is really amazing.
What do you dislike about the product?
I don't feel there is anything, in particular, I dislike about MongoDB. Every database program has its advantages and disadvantages. You will find drawbacks, and if you don't use the proper database according to your needs, as MongoDB is a NoSQL database, it will lack the functionalities of a relational/SQL database.
What problems is the product solving and how is that benefiting you?
I have been using MongoDB for most of my projects. Also have used MongoDB in the organizations I worked at. I see many startups now are preferring MongoDB. Hence I believe MongoDB will be in demand in the near future.
Recommendations to others considering the product:
I recommend everyone to use MongoDB when your requirement is for a NoSQL database. MongoDB is really secure and easy to use. You won't be disappointed using it. You can easily create clusters on MongoDB Atlas and integrate in your application.
Very fast responsive and It provides high performance, availability, scalability.
What do you like best about the product?
Mostly I like the very quick response of data. It feels like work locally. The management of data collection is excellent. You can index any field in a document. MongoDB supports Master Slave replication. A master can perform Reads and Writes and a Slave copies data from the master and can only be used for reads or back up. It has an automatic load balancing configuration because of data placed in shards. MongoDB is a scalable, flexible NoSQL document database platform designed to overcome the relational databases approach and the limitations of other NoSQL solutions. MongoDB is well known for its horizontal scaling and load balancing capabilities, which has given application developers an unprecedented level of flexibility and scalability.
What do you dislike about the product?
Based on my experience till now, I am not feeling wrong with any features. It uses high memory for data storage. You are not allowed to store more than 16MB data in the documents. The nesting of data in BSON is also limited you are not allowed to nest data more than 100 levels. It does not support join operation.
What problems is the product solving and how is that benefiting you?
I have not any bad experiences, so I am not solving any problems with MongoDB. Based on a previously used SQL database, I feel the speedy and quick response in MongoDB. JSON data model with dynamic schemas. Auto-sharding for horizontal scalability. Built in replication for high availability. It is a schema-less NoSQL database. You need not to design the schema of the database when you are working with MongoDB.
Recommendations to others considering the product:
- Document-oriented – Since MongoDB is a NoSQL type database, instead of having data in a relational type format, it stores the data in documents. This makes MongoDB very flexible and adaptable to real business world situations and requirements.
- Ad hoc queries - MongoDB supports search by field, range queries, and regular expression searches. Queries can be made to return specific fields within documents.
Indexing - Indexes can be created to improve the performance of searches within MongoDB. Any field in a MongoDB document can be indexed.
- Replication - MongoDB can provide high availability with replica sets. A replica set consists of two or more mongo DB instances. Each replica set member may act in the role of the primary or secondary replica at any time. The primary replica is the main server that interacts with the client and performs all the read/write operations. The Secondary replicas maintain a copy of the data of the primary using built-in replication. When a primary replica fails, the replica set automatically switches over to the secondary, and then it becomes the primary server.
- Load balancing - MongoDB uses the concept of sharding to scale horizontally by splitting data across multiple MongoDB instances. MongoDB can run over multiple servers, balancing the load and/or duplicating data to keep the system up and running in case of hardware failure.
- Ad hoc queries - MongoDB supports search by field, range queries, and regular expression searches. Queries can be made to return specific fields within documents.
Indexing - Indexes can be created to improve the performance of searches within MongoDB. Any field in a MongoDB document can be indexed.
- Replication - MongoDB can provide high availability with replica sets. A replica set consists of two or more mongo DB instances. Each replica set member may act in the role of the primary or secondary replica at any time. The primary replica is the main server that interacts with the client and performs all the read/write operations. The Secondary replicas maintain a copy of the data of the primary using built-in replication. When a primary replica fails, the replica set automatically switches over to the secondary, and then it becomes the primary server.
- Load balancing - MongoDB uses the concept of sharding to scale horizontally by splitting data across multiple MongoDB instances. MongoDB can run over multiple servers, balancing the load and/or duplicating data to keep the system up and running in case of hardware failure.
Use for storing records
What do you like best about the product?
It's a NoSQL database system, and it's very easy to scale.
What do you dislike about the product?
I have found no issues so far. It fits the requirements.
What problems is the product solving and how is that benefiting you?
Dealing with data at large scale
Very easy to use
What do you like best about the product?
short learning curve and good community to support
We use it for front-end-heavy projects and storing document based data, where original RDBMS solution would be overkill.
The reason for using this is because of the amazing scalability that this database provides and the JSON file format in which it tends to store the data that is present within it.
It fully meets our needs. Reliable, handy, and robust, the support is of high quality.
You can install a local, database-based environment
We use it for front-end-heavy projects and storing document based data, where original RDBMS solution would be overkill.
The reason for using this is because of the amazing scalability that this database provides and the JSON file format in which it tends to store the data that is present within it.
It fully meets our needs. Reliable, handy, and robust, the support is of high quality.
You can install a local, database-based environment
What do you dislike about the product?
A more user-friendly user management tool would be a good thing.
No joins
Aggregation of data is hard
Not 100% ACID compliant although this is also one of the reasons for MongoDB's strength, it would require you to think through your use cases more.
If the data is of similar type then it is very difficult to remove the same comments.
Transaction not supported on sharded collection
If installing it on-prep or on your own account in a public cloud, it can be a daunting experience.
Very hard to tell how to best structure your data and then effectively query it.
No joins
Aggregation of data is hard
Not 100% ACID compliant although this is also one of the reasons for MongoDB's strength, it would require you to think through your use cases more.
If the data is of similar type then it is very difficult to remove the same comments.
Transaction not supported on sharded collection
If installing it on-prep or on your own account in a public cloud, it can be a daunting experience.
Very hard to tell how to best structure your data and then effectively query it.
What problems is the product solving and how is that benefiting you?
Data storage for NodeJs applications, saving logs etc. Mongo can integrate with all of the major languages like Java, Python, Javascript. If you need to store very complex, structured data that needs to be related, a traditional relational DB might be a better option.
Recommendations to others considering the product:
For NoSQL object storage must try
My favorite noSQL database
What do you like best about the product?
I love the simpleness and the flexibility and the documentation was great. Extremely easy for new developers to pickup and great support for complex query scenarios.
What do you dislike about the product?
It is difficult to learn clustering in mongodb. Althogh the documentation is generally great sometimes when looking solutions for complex scenarios it can be time consuming and a bit frustrating.
What problems is the product solving and how is that benefiting you?
Work with json easily without awkward constraints such as in mySQL and I love it when I can just loop through the json data from a JavaScript app like react or angular m
Recommendations to others considering the product:
I would most certainly recommend any organization who works with lots of data to use mongodb
MongoDB is the perfect solution for data list management
What do you like best about the product?
MongoDB allows the export of non-relational databases, which is useful for working with code whose format needs to be changed more freely. When creating data strings, they can be exported through lists to a chosen server
What do you dislike about the product?
The mongo DB platform does not support SQL type databases from services such as MySQL, because with mongo DB it is not possible to carry out the same work procedure based on the server modes offered by these platforms
What problems is the product solving and how is that benefiting you?
Mongo DB exists as a software to work with non-relational databases, but it covers much more by leaving aside the slowness brought by the management of DDL type commands. In fact, MongoDB serves to stop working with SQL and experiment with other types of configurations and data formats
Recommendations to others considering the product:
We recommend MongoDB in the area of developing online projects that involve extensive data lists is to import the information to any external cloud, preferably for future reviews and edits through third party software
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