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MongoDB Atlas (pay-as-you-go)

MongoDB, Inc | 1

Reviews from AWS Marketplace

30 AWS reviews

External reviews

480 reviews
from G2

External reviews are not included in the AWS star rating for the product.

    Bianca

Powerful and Scalable Database Solution with MongoDB Atlas

  • November 13, 2024
  • Review verified by AWS Marketplace

As a developer, I’ve had the opportunity to work with various database solutions, and MongoDB Atlas stands out as one of the best managed database services available today. Here are my thoughts on why I highly recommend MongoDB Atlas, especially for users in the AWS ecosystem:

- Ease of Use and Quick Setup: Setting up MongoDB Atlas was a breeze. The integration with AWS was seamless, allowing me to deploy clusters in just a few clicks. The user-friendly web interface is intuitive, making it easy to manage databases without a steep learning curve.
- Scalability and Performance: One of the most impressive features of MongoDB Atlas is its ability to scale effortlessly. Whether you’re dealing with moderate traffic or a sudden spike in user requests, Atlas can automatically adjust resources to ensure optimal performance. The built-in auto-scaling feature is a game-changer for applications that experience fluctuating workloads.
- Global Distribution and High Availability: With MongoDB Atlas, I can deploy clusters across multiple regions, ensuring low-latency access for users around the globe. The built-in replication and failover mechanisms provide high availability, which is critical for mission-critical applications.
- Cost-Effective: For a managed service, MongoDB Atlas offers competitive pricing. The pay-as-you-go model allows us to only pay for what we use, making it suitable for startups and large enterprises alike.

    madhura

Audio embedding resources

  • November 13, 2024
  • Review verified by AWS Marketplace

I’d like to suggest adding more resources on using audio embeddings with MongoDB's vector search. Additional guidance on best practices and examples would greatly benefit those looking to work with audio data in MongoDB.

    Sudo

Powerful and Flexible Database for Gen AI Projects, with Room for Onboarding Improvements

  • November 13, 2024
  • Review verified by AWS Marketplace

Creating Mentation, an AI-driven wellness assistant, was an enriching experience, and MongoDB supplied the foundation we required for effortlessly handling intricate and diverse data. By managing user interactions and emotional data as well as processing vector embeddings, MongoDB effortlessly fulfilled our requirements. Its adaptability and scalability proved essential, allowing us to broaden our project’s scope without having to repeatedly reconfigure the database.

Although the documentation is comprehensive and addresses various use cases, a concentrated, beginner-friendly crash course would have been immensely helpful—particularly for teams such as ours seeking to utilize AWS and Gen AI. Exploring the fundamentals of MongoDB, such as querying, vector indexing, and aggregation pipelines, prompted us to seek out external tutorials, especially to clarify information regarding vector indexing. At one stage, we came across contradictory data from these sources indicating that solely larger M10 clusters were capable of handling vector indexing, which resulted in additional testing and problem-solving.

Although there were some learning challenges, MongoDB demonstrated to be a robust solution for the requirements of our project. By providing a more efficient onboarding process—centered on key elements and better instructions for utilizing features such as vector indexing—MongoDB would become even more attainable for developers engaged with advanced technology. In general, we had a positive experience with MongoDB, and with some modifications, it could easily become the preferred choice for any developer venturing into Gen AI applications.

    Temidayo Kolade

Improvement on Documentation

  • November 12, 2024
  • Review verified by AWS Marketplace

For my hackathon project, I chose MongoDB Atlas from AWS Marketplace. I particularly like the auto-scaling capability.

However, I encountered some challenges with the SDKs at multiple stages of use, so I had to look outside the official documentation for help. For example, while connecting to the cluster.

While the existing documentation is okay, it would be more beneficial if video resources were included (as this helps better than textual documentation). Additionally, integrating real-world examples and case studies into the documentation could greatly enhance its practical value.

    Anand.

The best solution out there

  • October 22, 2024
  • Review verified by AWS Marketplace

I've used mongodb professionally for 4 years and have found the product meets and exceeds the demands placed on it by the products i create.

    Atakan Steven B.

Efficient use of NoSQL!

  • August 19, 2024
  • Review verified by G2

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.

    Onkar D.

Connection smoother

  • August 12, 2024
  • Review verified by G2

What do you like best about the product?
Easy to connect
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

    Denis S.

Among the best database solutions out there, and it's really useful

  • August 06, 2024
  • Review verified by G2

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.

    Electrical/Electronic Manufacturing

MongoDB

  • July 22, 2024
  • Review provided by G2

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!

    MD EHTASHAAM K.

Future of Databases: A Critical Review of MongoDB

  • July 16, 2024
  • Review provided by G2

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.
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.
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.

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