MongoDB Reviews & Product Details

Our application development and data analysis initiatives have relied heavily on MongoDB, a highly scalable and versatile NoSQL database, for its ability to efficiently manage unstructured and semi-structured data. The database provides a feature called indexing, which assigns a unique ID to each row. I've found this to be very helpful in today's world, where web services process massive amounts of data and better storage and resource utilization is essential; in addition, its aggregation capabilities allow me to perform complicated, resource-intensive queries at lightning speed. Review collected by and hosted on G2.com.

Starting and writing aggregations in MongoDB can be challenging without a good tool to guide you. You'll also need a basic understanding of databases and SQL queries to understand the concepts. Review collected by and hosted on G2.com.

Fast data fetching and easy to use and implementaion. Review collected by and hosted on G2.com.

Some time we face connective issue with the database. Without any appropriate reason Review collected by and hosted on G2.com.

Ease of use, Ease of implementation, Ease of integration, and a lot of documentation online. Review collected by and hosted on G2.com.

Cluster reliability, database error protection, data consistency Review collected by and hosted on G2.com.

What I like best about MongoDB is its flexibility. Most of the database require fixed schema bt MongoDb allows you to store data in a more dynamic way and document based format. This document based structure is very straightforward and very easy to use even for the newcomers. It is very flexible.

Also setting up MongoDB is quick and it integrates very easily with other platforms.

MongoDB offers strong customer support, with plenty of documentation, community forums, and professional support options. Because of all these features it is frequently and widely use across the globe and industries. Review collected by and hosted on G2.com.

However MongoDb is less efficient for complex queries and transactions than traditional databases. Also while handling lare datasets it require very large memory and storage which can be costly.

Proper indexing in MongoDb is also very crucial. Also sometimes it leads to data redundancy. Review collected by and hosted on G2.com.

MongoDB is the leading NoSQL database solution. It provides a high schema flexibility as MongoDB’s document-based structure allows for a highly flexible schema design.

One of the key features of MongoDB is it supports horizontal scaling through sharding, which allows data to be distributed across multiple servers. This is the reason for its high scalability. It is also cross-platform compatible and has a large and active community, providing a wealth of resources, tutorials, and forums. Review collected by and hosted on G2.com.

For users transitioning from relational databases, MongoDB’s lack of native SQL support can be a drawback. It may require additional learning. Review collected by and hosted on G2.com.

A document-oriented data architecture is used by the adaptable and scalable MongoDB database, which enables dynamic schemas and simple changes to document structure. Comprising grouping, filtering, and converting data is made possible by its strong query language and indexing features. Because MongoDB uses sharding—a horizontal scalability technique that divides data across numerous servers—it is exceptionally well-suited for managing large-scale data and high-throughput applications. Data redundancy and failover are ensured by its built-in replication and high availability features, which also minimize downtime and guarantee data integrity. All things considered, MongoDB is a useful option for contemporary, data-intensive applications. Review collected by and hosted on G2.com.

When compared to traditional databases, its implementation can be less resource-efficient and straightforward, which makes it challenging to manage scenarios needing complicated transactional consistency across several documents. Furthermore, inconsistent data in sharded clusters might result in performance bottlenecks and unequal data distribution. Because of MongoDB's flexible design, inconsistent data structures may result, which could affect the quality of the data and complicate application and query logic. For applications demanding higher consistency assurances, MongoDB's default setup for Write Concerns and Read Concerns may not be ideal. Careful customization is therefore necessary. To overcome these obstacles and capitalize on MongoDB's advantages while minimizing its drawbacks, meticulous preparation and knowledge are needed. Review collected by and hosted on G2.com.

Apart from many other NoSQls on the market, MongoDB also stands out with its speed and efficient indexing method. Also being integrated with MongoDB Compass makes it easy to play around with the data. Review collected by and hosted on G2.com.

MongoDB is good for proffesional work but MongoDB Compass interface can be sometimes hard to use. Review collected by and hosted on G2.com.

One thing is that its a NOSQL database, meaning no schema required. Also, main thing i liked in mongodb is simplicity. We can define our data through objects (like document format or the json format). Interface of mongodb is calm and greenish making it very easier to create, edit and deliver the data. Also, there is this thing called "sharding" which i learnt in my studies, what happens is the high amount of data can be shared across multiple servers. This was the coolest thing i got to learn. Review collected by and hosted on G2.com.

Well. dislikes about mongodb, is linked to the disadvantages of nosql itself. Not particularly the mongodb, as the nosql doesnot require any schema to be defined. so in my personal experience, i used to get frustated when i noticed many object data got messed up. As i switched from sql. the table format habit was printed in my mind for months, took some while to understand the hierarchy of data being created in the nosql format or rather json format in mongodb (might say complex nodes affect the data). Review collected by and hosted on G2.com.

I liked the rich query language model of MongoDB. It's easy to setup and establish connections with MongoDB clusters. The community support provided is awesome.

It is currently the easest and most flexible NoSQL database in the market. We worked intensively on a large set of Collections for our clients. Review collected by and hosted on G2.com.

The only thing we faced was to handle large datasets and clusters. Maintaining consistency is a bit challenging for us. Hoping to get more ACID complaint-friendly features in MongoDB. Review collected by and hosted on G2.com.

The low latency and scalability of database with increasing work load. We migrated one of our system from firestore to mongoDB and loving the performance which we are getting. Review collected by and hosted on G2.com.

sometime feels like perfect database for true scale but we need to carefully manage index and add proper index to make query efficient. Review collected by and hosted on G2.com.