MongoDB Atlas Reviews & Product Details

I like MongoDB for its data-based storage and schema flexibility. It allows me to store data in non-table formats and handle any kind of data, unlike SQL databases where I had to stick with a predefined schema. The horizontal scaling feature and the easy learning curve also make MongoDB valuable to me. The initial setup of MongoDB was very easy for my team. Review collected by and hosted on G2.com.

less suitable for complex joins, memory consumption and data duplication Review collected by and hosted on G2.com.

Going from a SQL background to NoSQL wasn’t easy at first, but it ended up paying off in a big way. I built our full ERP/eCommerce system using MongoDB, and it really accelerated development.

When I started this project 8 years ago, I was warned not to choose NoSQL because it supposedly wasn’t recommended for this type of project. I’m glad I didn’t follow that advice. Review collected by and hosted on G2.com.

It’s very fast overall. The only time I notice it slowing down is during lookups when there’s a lot of data. Even then, it’s super easy to create data indexes and optimize everything. Review collected by and hosted on G2.com.

The UI is easy to navigate, with a well-defined sidebar and admin settings that are simple to access. Overall, it just makes sense. Review collected by and hosted on G2.com.

There's no mongosh terminal. You can't run aggregations easily and you can just forget about multi-collection joins. I understand that Atlas is like the admin control hub for MongoDB and complex queries and joins are supposed to be run using Compass but the web UI should offer an easy segue into using mongosh or if not, then atleast a panel to run complex queries Review collected by and hosted on G2.com.

Mongo DB is a no sql database so we need no fixed schema for storing data. Mongo DB is very easy to integrate into our project or web application. The setup was also very easy. It has good documentation also. I really like the user interface of both atlas and compass. Review collected by and hosted on G2.com.

Mongo DB doesnot have any strict schema and has little support to complex relationships it sometimes leads to hard data management. Review collected by and hosted on G2.com.

I love how fast and easy it is to spin up a new cluster with MongoDB and store data. The ability to handle unstructured JSON data quickly and provide fast retrieval is incredibly valuable, especially for my AI-based application that utilizes data from web scraping. I find the document store feature of MongoDB particularly beneficial because it allows me to store any type of data without needing to create structures, which simplifies my development process significantly. The simplicity and ease of initial setup in MongoDB make it an ideal first choice for my database needs. Overall, my experience with MongoDB has been very positive, and I am likely to recommend it to others. Review collected by and hosted on G2.com.

I find it challenging to learn MongoDB with non-popular tech stacks like C# Dotnet Core Web API. There aren't enough resources available on the internet to facilitate learning how to effectively use MongoDB with Dotnet Core. Review collected by and hosted on G2.com.

I use MongoDB Atlas for hosting our MongoDB, and I appreciate its reliability; I've never had any problems with its uptime. I really like the tools it offers for scaling and performance monitoring, as they are easy to use with a nice user interface. It's great that new MongoDB versions are deployed as soon as they are released, allowing me to use new features without any delay. The initial setup was easy without any problems, which I really value. Review collected by and hosted on G2.com.

I think their alerting system may be a bit improved, for example so I can setup more granular alerts. For example, I can't set up composite rules (for example error rate of specific endpoint + CPU threshold, etc). Basically, it's limited in customization. Review collected by and hosted on G2.com.

MongoDB provides ease and flexibility when working with massive and unstructured data. MongoDB has a document structure that enables the complex data to be stored without schemas. The MongoDB platform scales smoothly and handles both small and big applications. The platform integrates easily with programming languages and environments. It promotes fast development. It offers a scalable and flexible means to manage database operations. Review collected by and hosted on G2.com.

The more complex queries will sometimes be less intuitive than what one would find in a traditional SQL database. Certain aspects of the system require further setup or the use of a paying account. Dealing with very large datasets might require a good amount of indexing and optimization. Aggregation pipelines will occasionally be a problem for the new user. It’s a good system, but these small problems occur. Review collected by and hosted on G2.com.

I really like MongoDB for its ability to store schema-less data documents, which lets me easily store JSON objects with arrays of objects internally. I appreciate the feature to perform aggregation-based queries where I can add stages for different types of queries like match, project, group, and sort. The initial setup was very easy and smooth, which made getting started a breeze. Review collected by and hosted on G2.com.

I won't say it doesn't work, but the transactions and ability to handle the joins within different databases can be handled more effectively. Review collected by and hosted on G2.com.

I like the basic architecture of MongoDB and how easy it is to find my JSON with Python libraries. It provides a good score with Python libraries, making data export, encryption, and decryption very easy. The latest feature about vector databases is just amazing for me as an AI engineer and has changed the landscape for me. I no longer need to use any other vector database, and I'm really comfortable using MongoDB. The initial setup was very easy, especially with the Mongo Compass and the resources provided for Python, which make it easier than any other setup. Review collected by and hosted on G2.com.

The major thing with the record databases is that you need to set them up manually most of the time. I would prefer if there's a setup to define everything from Python code rather than having to go into the Mongo interface and change it there. They don't provide automatic integration of vectorized databases from the Python code, which is a bit of a setback for me. Review collected by and hosted on G2.com.

I use MongoDB Atlas for a document database and appreciate its faster response and easy search with indexing. I really like sharding in MongoDB Atlas because it splits the data equally to all the nodes, which allows it to handle multiple reads and write operations. Setting up MongoDB Atlas is straightforward and easy. Review collected by and hosted on G2.com.

I am not a fan of the default ID that MongoDB Atlas creates for every entry. Review collected by and hosted on G2.com.