MongoDB Atlas (pay-as-you-go)
MongoDB, IncExternal reviews
499 reviews
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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.
Great NoSQL DB with few limitations
What do you like best about the product?
MongoDB is great NoSQL document db that offers features horizontal scaling, schema less architecture, good third party support
What do you dislike about the product?
Limited support of ACID transactions and complixity of sharding
What problems is the product solving and how is that benefiting you?
We are using MongoDB to track and report on the employees activity. This involves aggregation queries, geospatial queries and stored scripts to support an APIs for in house web application.
MongoDB Made Easy: Simplifying Data Management for Everyone
What do you like best about the product?
MongoDB makes it simple to work with data, like storing and finding data quickly.
It can handle large volume of data without slowing down.
It is easy to use even if you are not expert.
It is very secure so the only right people can access the data.
It is easy to integrate in code.
The schemaless architecture makes it very useful for raw and especially json data.
It can handle large volume of data without slowing down.
It is easy to use even if you are not expert.
It is very secure so the only right people can access the data.
It is easy to integrate in code.
The schemaless architecture makes it very useful for raw and especially json data.
What do you dislike about the product?
Using mongoDB might cost high especially for bigger projects with lost of features.
Sometimes it might have bugs or issues that need fixing.
Sometimes it might have bugs or issues that need fixing.
What problems is the product solving and how is that benefiting you?
MongoDB is ideal for storing and retrieving unstructured data efficiently, supporting diverse data types and formats.
It's well-suited for handling large volumes of unstructured data, ensuring smooth performance and scalability.
It's well-suited for handling large volumes of unstructured data, ensuring smooth performance and scalability.
Quick DB
What do you like best about the product?
Ability to handle growing data volume, evolving data models.
What do you dislike about the product?
Learning ios required to make full use of the product.
What problems is the product solving and how is that benefiting you?
Ingest volumes from any data model.
Truly scalable database for Read heavy and write system.
What do you like best about the product?
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.
What do you dislike about the product?
sometime feels like perfect database for true scale but we need to carefully manage index and add proper index to make query efficient.
What problems is the product solving and how is that benefiting you?
I our use case we use to store every datapoint for user details like location and ip in firestore. We are suffering from costing and latency problem as we are growing. We now shifted to mango db initial their is high resource usage by mongoDB but as we tune configurations and added indexing we no moving having resource usage problem.
Very Good Non-Relational Database
What do you like best about the product?
I mostly liked the easiness of using MongoDB. We don't have to define table structure. We can add a new column in our data time as it is completely based on JSON.
What do you dislike about the product?
I don't have anything to dislike about MongoDB.
What problems is the product solving and how is that benefiting you?
I used MongoDB in a couple of my Java projects. I used it to store user login activity and logs.
Perfect NoSql database for High available Microservieces
What do you like best about the product?
NoSQL yet supports schema
Support for geospatial indexing with sharding, replication
Pipeline aggregation
Vast community support and client library in every language
Readymade connector with changelog to elastic search , kafka etc
Support for geospatial indexing with sharding, replication
Pipeline aggregation
Vast community support and client library in every language
Readymade connector with changelog to elastic search , kafka etc
What do you dislike about the product?
Lack of analytical stack
Complex sharding operation with manual balancing
Complex sharding operation with manual balancing
What problems is the product solving and how is that benefiting you?
Storing evolving schema database for our SaaS microservices.
A performant NOSQL database
What do you like best about the product?
Flexible document base data models, easy to use and implement with various languages, large community for questions and tutorials, its query language and reliable in production applications
What do you dislike about the product?
has a learning curve if coming from sql based databases, things like joins, data integrity and schema validation are not available here. usually you know these drawbacks when you choose nosql
What problems is the product solving and how is that benefiting you?
Our main db is in mongo. We have our API service store and fetch our data from this. We have other services query on it for analytics and machine learning.
Best NoSQL Database sofar
What do you like best about the product?
Easy to define schema and easy to use dashboard to configure and deploy your database.
What do you dislike about the product?
I personally don't dislike anything about mongodb.
What problems is the product solving and how is that benefiting you?
We were using mongodb to strore audit events for our application which has variable number of columns and way to much data, mongodb was best solution to cater that.
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