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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.
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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
You have to use MongoDb at least once!
What do you like best about the product?
It has amazing features. You can use it on memory or disk. As cash server with TTL or as a normal DB. Also, you have a full-text search on your collection.
MongoDB is amazing for the projects who don't have a strong style for the beginning for at least the first 5 years.
It's easy to use, user friendly, and super fast. Extendable horizontally and vertically.
MongoDB is amazing for the projects who don't have a strong style for the beginning for at least the first 5 years.
It's easy to use, user friendly, and super fast. Extendable horizontally and vertically.
What do you dislike about the product?
If you don't want to limit yourself, you can create a big mess in that. Data without style can be really dangerous.
What problems is the product solving and how is that benefiting you?
Store lots of data with different kinds of Schema.
Recommendations to others considering the product:
Read about it to understand the features that MongoDB have to use it in the best way.
Great and best NOSQL database I have ever used.
What do you like best about the product?
The best thing about MongoDB is it gives query output in JSON format which is easy to read. And for the new user they can have it for free with certain storage space.
What do you dislike about the product?
Although working with MongoDB is very easy but at the beginning learning MongoDB might take some time. One more thing is that the free version limits the storage of data.
What problems is the product solving and how is that benefiting you?
As in MongoDB data is encapsulated that's why the queries are much faster and the software is extremely performant. In MongoDB I can make number of structural changes easily to the access data without too much modification in data access layer.
Recommendations to others considering the product:
Highly recommended.
MongoDB: The best NoSQL Database
What do you like best about the product?
MongoDB is scalable, robust, easy to use, and has well-designed architecture.
It can be integrated with many programming languages.
The MongoDB community is large.
You don't need to stress yourself with where to host your database.
It has unique and helpful tools like the MongoDB Compass, to make database administration easy.
It is very secured.
It can be integrated with many programming languages.
The MongoDB community is large.
You don't need to stress yourself with where to host your database.
It has unique and helpful tools like the MongoDB Compass, to make database administration easy.
It is very secured.
What do you dislike about the product?
Even though technologies have their dislikes, I personally don't have any dislikes with MongoDB.
What problems is the product solving and how is that benefiting you?
I use MongoDB as the database for my web applications and CLI apps.
Recommendations to others considering the product:
Use MongoDB if you want a scalable, robust, and easy to set up a database.
It has good and well-written documentation.
It has regions all around the world and its back up plans are superb. You don't need to worry about what happens when a region goes down.
It is very secured.
It has good and well-written documentation.
It has regions all around the world and its back up plans are superb. You don't need to worry about what happens when a region goes down.
It is very secured.
This is an emerging opensource NoSQL Database with powerful features and performance
What do you like best about the product?
MongoDB's features and performance and their continuous Development of improvements
What do you dislike about the product?
MognoDB Compass which is very basic tool compared to Studio 3t/Robo 3t
What problems is the product solving and how is that benefiting you?
We were able to replace Oracle/MS SQL in many places
Recommendations to others considering the product:
If you're looking for ease of use , performance & scalability go for MongoDB
The Best feature provide by Mongo ie Cloud
What do you like best about the product?
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
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
What do you dislike about the product?
Cost is very Expensive, well all other features are the best on Mongo Cloud
What problems is the product solving and how is that benefiting you?
Storing a Large Amount of Non-relational Data and Non-Structural Data
Recommendations to others considering the product:
All should be cloud-based and easily scalable as Mongo Cloud Manager is.
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