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MongoDB Atlas (pay-as-you-go)

MongoDB, Inc | 1

Reviews from AWS Marketplace

31 AWS reviews

External reviews

481 reviews
from G2

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

    Dominic

Amazing product!

  • November 27, 2024
  • Review verified by AWS Marketplace

I recently got a chance to to work with MongoDB Atlas on AWS.

It's a great option to bring these two power houses together and leverage the best of both of them.

I cannot recommend this product more!

    NIKKI .

Scalable and Highly Flexible NoSQL Database

  • November 26, 2024
  • Review verified by G2

What do you like best about the product?
My favorite feature in this database is the flexibility of its use as well as the possibility to scale it. Because this model stores data in JSON-like formats, it is possible to handle unstructured and semi-structured data without having to prescribe very specific data models. This flexibility is especially good for application where the structure of the data being stored can change as time passes. Being able to scale a database horizontally through the use of sharding is one of MongoDB’s best features since it helps in loading big data and is efficient when dealing with traffic loads. Also, its complex query language; the power offered by the aggregation framework and indexing and data retrieval make the process very efficient and diverse. Moreover, features such as the MongoDB Atlas make cloud deployment and management easy and more enjoyable. MongoDB has gained many supporters of the community and had a great documentation, which makes it fit for today’s developments.
What do you dislike about the product?
Probably one of the biggest negatives of the MongoDB is its steep learning curve for those that have no prior experience with NoSQL systems or have recently migrated from SQL. On the positive side, it is also very flexible, allowing developers to easily create badly thought out schemas, which when the application starts getting a lot of use can slow down the performance immensely. Also, handling shard and replication in self-serving environment quite challenging and may need good understanding of structure. A third anotated limitation is the ACID properties of transactions while MongoDB has added support for these recently and to a far lesser extent than traditional relational database systems, it may not be suitable where high consistency is critical. Finally and as for the offering of MongoDB Atlas, which is a cloud managed service of MongoDB, there is a high likelihood of accumulating high costs particularly for those that are intending to develop jumbo scale applications for their start-ups or small business enterprises.
What problems is the product solving and how is that benefiting you?
It is solving several problems that are inherent in managing huge amount of unstructured or semi structured data. It’s for businesses who are struggling to scale and create flexibility, as well as develop rapidly. Organizations can operate massive datasets and high traffic applications, while performance stays consistent despite the increasing volume of data, thanks to its ability to scale horizontally, or sharding. For businesses with unpredictable or changing data structure, like e-commerce, IoT, social media, this feature is particularly useful.

The biggest benefit for me about MongoDB has to do with being able to modify the data model on the fly without a rigid schema, which helps speed up development due to the iterations necessary. This flexibility allows prototypes of new features to be easier or to simply pivot when business requirements change. Also, MongoDB’s powerful querying and aggregating functionalities make analyzing large dataset very efficient and help in making data driven decision. Also, MongoDB cloud service, MongoDB Atlas, removes my burden of infrastructure management so I can development application and less of database management. From an overall perspective, MongoDB provides for rapid development, scalability, and efficiency that are necessary to compete in the fast changing world.

    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.

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