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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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We develop micro services for monitoring using mongo db
What do you like best about the product?
Love the document based structure of db.
What do you dislike about the product?
Dislike official mongo clients. It has inconvenient ux design
What problems is the product solving and how is that benefiting you?
We save some data in mongo. It helps fast developing services without schema design
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
Mongodb: the friendly No-SQL Database
What do you like best about the product?
Mongodb is very friendly for new developer to learn, moreover, it has amazing document that support many programming languages
What do you dislike about the product?
Unfortunately, the doxuments are heavy in memory
What problems is the product solving and how is that benefiting you?
I created many API's for mobile application using mongodb. The benefit of access methodology (key, value) made the API's very fast.
Recommendations to others considering the product:
Read carefully about how to handle collection referencing before start build your collections
One of the bests DB for NodeJS and noSQL projects
What do you like best about the product?
- Easy integration with JS code
- Fast index system with multiple field support
- Having multi-level documents
- Easy implementation of a type system using mongoose
- Fast index system with multiple field support
- Having multi-level documents
- Easy implementation of a type system using mongoose
What do you dislike about the product?
- It isn't easy to have a good performance if you are a beginner o mid-level
- The tools for inspecting the database (robo3t) are very limited on functionality and on a macOS are not well optimize
- The tools for inspecting the database (robo3t) are very limited on functionality and on a macOS are not well optimize
What problems is the product solving and how is that benefiting you?
Remove relational databases with redundant information because of the use of foreign keys
Flexibility when implementing changes on the schemas
Flexibility when implementing changes on the schemas
NoSQL DB captain MongoDB
What do you like best about the product?
Best thing of mongo DB are,
. It supports GEOSpatial Query
. Easy to use and configure cluster.
. Supports in memory Engine
. It supports GEOSpatial Query
. Easy to use and configure cluster.
. Supports in memory Engine
What do you dislike about the product?
MongoDB will consume more resources and need to configure properly if it is your main database.
What problems is the product solving and how is that benefiting you?
Using mongoDB, GeoNear Query was able to perform easily to get coordinates and also using Quorum high availability was achieved
Recommendations to others considering the product:
MongoDB will give you much more feasibility to integrate in your application due to Engine designed
New tech-stacks need new databases where MongoDB comes
What do you like best about the product?
High availability is the best feature—no need to worry about the stability or server uptime.
What do you dislike about the product?
MongoDB is not matching to all scenarios. Sometimes you need to stick to a SQL database for simplicity. This is not a reason to dislike but a reason to avoid in some cases.
Also, documentation could have improved for new users.
Also, documentation could have improved for new users.
What problems is the product solving and how is that benefiting you?
No need to normalize the schema.
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
As vehicle of big dreams Mongodb
What do you like best about the product?
MongoDB reads the data in real time quite correctly. The compilation of a query is also very easy. It is also quite able to relate to different resources via APIs. The app has also been very successful. New and unique apps are modified in annual updates that are so special. This should be less time-consuming. It's pretty easy to install. MongoDB is too easy to operate remotely and through several Software vendors. Some of the best computer systems with the no SQL pop group.
What do you dislike about the product?
Sometimes I noticed that it was very hard to handle the characteristics of the program, like the search, information and guidance, but afterwards I came to realize it was petulant, fluid and desirable for storing data.
What problems is the product solving and how is that benefiting you?
It is ideal for us to use within our business to allow us time to learn and increase the scalability of projects. We can say that it is fantastic, as we also use that as commercial processes. MongoDB offers an easy way of using and integrating our organization. The latest avant-garde companies and MongoDB and the major ones are unbelievable.
Recommendations to others considering the product:
Use mongodb in the app control system setting because the way to build ourql commands is very simple and powerful. Especially great when operating on small teams and most important, mongodb needs no standardization when the information is held in a pole/data set.
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