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Efficient use of NoSQL!
What do you like best about the product?
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.
What do you dislike about the product?
MongoDB is good for proffesional work but MongoDB Compass interface can be sometimes hard to use.
What problems is the product solving and how is that benefiting you?
As the nature of NoSQL, handling data in our projects, creating schemas are good for our usecases.
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Connection smoother
What do you like best about the product?
Easy to connect
Query understanding is easy
Query understanding is easy
What do you dislike about the product?
lack of query functions as compare to SQL
What problems is the product solving and how is that benefiting you?
No SQL
Among the best database solutions out there, and it's really useful
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
The horizontal scalability of MongoDB was a key factor in our decision to use this technology, and I must say that I have made great use of this tool. Our database scaled effortlessly, allowing us to add nodes to our cluster without sacrificing speed, which has been great for our data storage needs. As a result, we can now manage dramatically higher data volumes and workloads without sacrificing performance. It has allowed us to automate the turnaround time in our development department, which has greatly improved the feasibility of projects.
MongoDB
What do you like best about the product?
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.
What do you dislike about the product?
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).
What problems is the product solving and how is that benefiting you?
So i was working on a project where we needed to show updates on the app as soon as they happened. It was important because our app had to stay current with new info all the time. So we picked mongodb as our database. Also when more users had to use the app, we could add more mongodb servers easily without any crashing or slowing the app down. Obviously its a database, it helped to store large amounts of data organized in this json format. If you are working on a real time project that needs to show updates quicker, mongodb is a great choice!
Future of Databases: A Critical Review of MongoDB
What do you like best about the product?
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.
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.
What do you dislike about the product?
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.
Proper indexing in MongoDb is also very crucial. Also sometimes it leads to data redundancy.
What problems is the product solving and how is that benefiting you?
MongoDB solves several problems related to data management. Earlier traditional databases required a fixed schema which made difficult to handle large data. MongoDb allows flexible schema which allows us to easily change data models without much downtime.
Also there was problem with scaling and it was very costly. MongoDb solved this problem also. It can be scaled horizontally by adding more servers in les cost.
It handles large volumes of data without degrading in performance.
Also there was problem with scaling and it was very costly. MongoDb solved this problem also. It can be scaled horizontally by adding more servers in les cost.
It handles large volumes of data without degrading in performance.
MongoDB - A highly scalable NoSQL Database Solution
What do you like best about the product?
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.
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.
What do you dislike about the product?
For users transitioning from relational databases, MongoDB’s lack of native SQL support can be a drawback. It may require additional learning.
What problems is the product solving and how is that benefiting you?
During my internship at Advit RealInfo, we were working on building a CMS for the organization. We ended up utilizing MongoDB since MongoDB’s flexible schema is ideal for content management systems where the structure of stored data can vary widely. It allows for easy storage and retrieval of diverse content types such as the document-based financial data we were working with, without strict schema definitions.
Reviewing MongoDb
What do you like best about the product?
MongoDb Atlas free hosting platform to start with project is the best. It's simplicity to connect with project makes it easy to use with different backend languages.
What do you dislike about the product?
Didn't found as such, overall it's good.
What problems is the product solving and how is that benefiting you?
I personally use mongoDb in most of my full stack application. Using MongoDb, atleast my hosted application I could show off during interviews.
MongoDB best NoSql dabase management system
What do you like best about the product?
What i like most about MongoDB is that it is very easy to use, when i worked with React and required to retrieve or store data i integrated MongoDB with Nodejs.It has document based schema which makes it look much easier.
What do you dislike about the product?
It does not support ACID properties. And it slows down when inconsistent or unbalanced data is shared.
What problems is the product solving and how is that benefiting you?
To handle data for applications which requires to store and retrieve data easily and faster, MongoDB is the best Database management system for such applications .
Using MongoDB: Leveraging Capabilities While Handling Obstacles
What do you like best about the product?
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.
What do you dislike about the product?
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.
What problems is the product solving and how is that benefiting you?
To create data-intensive applications, like IoT storage solutions and social media analytics systems. Because of its document-oriented data format, changing data requirements may be accommodated without requiring significant schema migrations, allowing for agile development and iteration. Due to its scalability, MongoDB can easily expand without compromising speed, making it an ideal solution for managing large datasets and high-throughput applications. Consulting businesses may create complex analytics and reporting solutions by utilizing its advanced querying and indexing capabilities to pull important insights from a variety of datasets. These functionalities are essential for creating data visualization apps, business intelligence tools, and custom reporting dashboards that are suited to the individual requirements of clients.
My experience with MongoDB
What do you like best about the product?
I have been using MongoDB for the past 3 months and I have noticed a few points that I would like to highlight. MongoDB provides great flexibility, object-oriented models, and design. Its scalability is also impressive. I have successfully integrated it with Textastic, and it is working perfectly. Its very easy to use and provides good customer support as well.
What do you dislike about the product?
There are a few points, which can be improved like lack of transaction support, memory usage and learning curve
What problems is the product solving and how is that benefiting you?
It's solving my problems in several aspects, such as flexible schema and scalability with high performance. MongoDB is a highly document-oriented model, which allows me to represent complex data effectively.
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