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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.


    Doug

Saving us $ and uping our game at the same time

  • April 15, 2017
  • Review verified by AWS Marketplace

Atlas has exceeded our expectations. For the same or better cost than setting up our own cluster, we get a free automated DB SysAdmin on staff. System updates, MongoDB updates and configuration changes are taken care of reliably in a push of a button. Being able to increase or cluster size or change to larger instances and knowing that it is being done right is excellent. Having all this at no additional cost is even better.

We are using the VPC peering connection capability to create a more secure connection to our MongoDB cluster. The docs are good, but I still had a question. Posted my question in the ever present help chat button and had help within a few minutes.


    Austin C.

Flexible, Fast, Easy to Setup

  • April 14, 2017
  • Review verified by G2

What do you like best about the product?
The Schemaless design makes rapid prototyping and iteration incredibly easy. The free tier platforms make it a great option for trying out and can take you incredibly far though there are great options/support provided for Enterprise services. For programmers, there are many well-maintained libraries for wrapping around the API.
What do you dislike about the product?
Though the database itself is fantastic, the third party tools to manage DBs are only ok. They are improving, but tools like 3T and Robomongo don't take complete advantage of the schemaless model.
What problems is the product solving and how is that benefiting you?
Data backups, restoring instances, and fast-paced products are all made easier with Mongo.
Recommendations to others considering the product:
Make sure you read above the vulnerabilities of unsecured Mongo instances and don't get your data kidnapped!


    Tony O.

MongoDB ruined SQL databases for me

  • April 12, 2017
  • Review verified by G2

What do you like best about the product?
The flexibility of document focused databases makes it easy to change or update schemas, hold data with varying sample rates or different, non-subset fields.
What do you dislike about the product?
High performance drivers to native data structures in other programming languages. Specifically, if I want to store time series data in Mongo, then retrieve in Python, the list of queries has to be iterated through to pull out the individual data fields. Some third party solutions provide a better solution.
What problems is the product solving and how is that benefiting you?
Data storage for IoT applications. SQL is certainly popular with business insight applications, but rolling out new and developing products in a start up meant we could not future proof our data collection up front when working with SQL databases.
Recommendations to others considering the product:
Be sure to start with later versions of MongoDB, updates in the last year have really improved indexing performance and flexibility of aggregations. Some SaaS deployments of MongoDB are too far behind.


    Logwriter

Amazing DBaaS

  • March 30, 2017
  • Review verified by AWS Marketplace

If you're looking for a DBaaS solution that brings innovation, simplicity and easy of management, you have to give a try for ATLAS.
ATLAS will help to setup the security of your DBaaS environment and you will have a ReplicaSet or a Sharded Cluster up and running in minutes.


    Alexander K.

Quick, reliable NoSQL solution

  • March 15, 2017
  • Review provided by G2

What do you like best about the product?
MongoDB is really very good NoSQL database. It is simple but powerful. It is quick on large datasets and simple to retrieve data. We use it mainly for logs and statistics data. Where our SQL-based database it uneffective Mongo comes and helps us.
What do you dislike about the product?
If you newer worked with NoSQL DBs it would be a little bit unusually to use it but perfect documentation and simple (JS-based) query language helps you to start quick.
What problems is the product solving and how is that benefiting you?
MongoDB is used for statistics and logs data. Store that in SQL DB is very resourse expensive and uneffective.
Recommendations to others considering the product:
If you have a lot of unstructured data such as logs you should give MongoDB a try!


    Michael Höller

Consistent, Fast Performance, easy to scale

  • March 14, 2017
  • Review verified by AWS Marketplace

With MongoDB Atlas the elevation to the next level takes place. This is how a Database as a Service should be. A cluster can be spinned up in minutes. The interface is simlpe, it offers the tools dev-ops need but without getting into shell scripting. You can start slow, even free and scale up to what your business needs.
I have run some tests and I can say I was impressed how fast I could get the planed results. I did not checked it out in total depth, fair is that you are charged only for what you use. Just plan carefully so that there is no surprise.


    Jhonathan de Souza Soares

Awsome!

  • March 02, 2017
  • Review verified by AWS Marketplace

The mongodb atlas is very good! This tool is very performatic too.
All the funcionalitys are simple, intuitive and usefull. Mongodb is becoming more complete and competitive every day


    SiGuerin

Great for Small/Medium companies with no dedicated DBA resource

  • March 01, 2017
  • Review verified by AWS Marketplace

Great for small to medium size companies with small infrastructures who don't necessarily need/want a DBA and have developers who prefer to spend their on writing code than managing MongoDB infrastructure. It's very easy to use and well layed out, providing a good array of monitoring metrics.

I'd say it's also good for proof of concept projects or sandboxes which are spun up and shut down once the need for them has gone.

At the moment it doesn't provide any of the enterprise level features than a more mature IT organisation would normally need/like (data encryption, auditing...etc). The larger your MongoDB estate is and the larger your data then the more expensive it becomes compared to running your on MongoDB estate in the cloud (both hardware and backup costs)

You're also limited in the instance types you can use and also the number of servers. For example do you really need a 3 node replica set for your test environment? Load Test and Prod for sure but for Test I'm not really sure this is required, so depending on how big your estate is you've just tripled your cost of this environment. If you want to shard you have to commit to fairly expensive larger instances, where I thought one of the pro's of sharding was that you could scale out over commodity hardware.

Hopefully it will become more feature rich as the product matures.


    Michael H.

MongoDB and itds new cool features!

  • February 23, 2017
  • Review provided by G2

What do you like best about the product?
There are many new cool features which came with MongoDB 3.4. Here are my favorites:
* Native Graph Processing - special purpose graph databases do a good job at storing and querying graph data. But often you want traverse graph data directly in the database. With MongoDB you can process, query, and analyze in real time, without the complexity of duplicating data across two separate databases.
* Improvements for Visualizing MongoDB Data - The complete connector has been reworked and offers now improvements in performance and scalability.


And there will be exiting news of the upcoming version 3.6:
For increasing performance:
- Wire Protocol Compression
- OP_MSG

Introduction of Session:
- Retryable Writes (this is my favorite)
- Causally Consistent Reads
- Notification API
What do you dislike about the product?
Sometimes I struggle over the javascript syntax which is intensely used and some time a little bit unhandy.
What problems is the product solving and how is that benefiting you?
I deal with huge databases, especially the connection to Spark and the new BI Connector in combination with the new aggregation functions helped me already to get things done faster than in the past.
Recommendations to others considering the product:
Get ready to understand the concepts of noSQL databases first.
Understand to "Think in documents". If not you may have a rough start.


    Dror Asaf

DBaaS to the rescue

  • February 23, 2017
  • Review verified by AWS Marketplace

First, let's start with why hosted DB and not to manage it yourself, the pain the agony and the resources wasted on maintenance is enormous, leading to a world full of SaaS.

After we removed that obstacle, we just need to choose the hosting environment we want.

Every hosting environment has different features, but only Atlas, has most features and is one click from production usage, include:
1. dynamic scaling
2. per hours pricing
3. Encryption at rest - extremely important to save your IP/Data
4. sharding support - when your business is that sucessful