Google Cloud SQL vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Google Cloud SQL
Ranking in Database as a Service
5th
Average Rating
8.4
Number of Reviews
18
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Database as a Service
3rd
Average Rating
8.4
Number of Reviews
45
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2024, in the Database as a Service category, the mindshare of Google Cloud SQL is 23.0%, up from 19.9% compared to the previous year. The mindshare of MongoDB Atlas is 15.6%, up from 12.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service
Unique Categories:
No other categories found
No other categories found
 

Featured Reviews

NB
Feb 12, 2024
Enables us to track the data that we get from external sources
We are tracking because we have an integrated system. We have some integration with external third parties. We also track the data that we get from external sources. In Postgres, we can handle maybe ten million records per month. We use partitioning and healing features to manage this growth in data. Google Cloud SQL provides fast and very short transactions when modifying our data, using Postgres as our database system across multiple ports. It performs queries for data and handles purchases based on those queries. The scalability with Postgres is impressive. Currently, we are in a beta phase, utilizing three instances. There were issues with write and read instances. Also, there were delays in data synchronization between the write and read columns. When data is written to the write instance, it's not always immediately available in the read instance, causing a delay of up to 20 seconds. We have the right systems to manage the necessary operations. Sometimes, we have one instance for handling requests; at other times, we might have more than two instances. Querying the correct data is fast. However, read queries can be slower due to the large amount of data they need to process. We use additional processing power from more instances to accommodate the required scale. Google Cloud SQL is straightforward. The setup and configuration are easy, and managing the team is simple. We have one dedicated person per week to handle incidents or disturbances in the process and perform additional work. It's enough for maintenance and support. As data accumulates, it's crucial to devise a strategy for managing its volume, which involves using historical tables, archiving, or partitioning. These methods are all useful. As the data volume increases, query execution times can slow down. Therefore, it's imperative to implement an effective indexing strategy. By optimizing indexes, partitioning, and other techniques, queries can be executed more efficiently, even when querying on multiple parameters. There could be two or three read instances. The synchronization between the write and the read is very fast. There are multiple advantages to Google Cloud SQL. Firstly, it operates in the cloud, making it accessible from anywhere. Unlike competitors, Google Cloud SQL is fully integrated into the cloud environment. You can quickly scale your resources up or down according to your needs, growing or decreasing. This flexibility allows you to stay aligned with current demands while optimizing costs. Overall, I rate the solution a nine out of ten.
Gabriel Anderson - PeerSpot reviewer
Feb 15, 2023
Efficient database management, and easy-to-manage resources within our own cloud environment
I have used MongoDB Atlas for my personal side projects as a database, and I have also used it as an infrastructure-as-code (IAC). In my apps, I have used the API to manage and create new databases programmatically. At my workplace, we use MongoDB Atlas for database management, access management…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The setup was straightforward. Just a couple of clicks, and we were done."
"The solution is easy to use. I am impressed with the tool's features and functionality."
"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"Ease of management and the ability to oversee the statistics of your SQL."
"The product is scalable."
"The most valuable features are that it's easy to use, simple, and user-friendly."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"Its most valuable features are high availability and zero maintenance."
"It can store data as a flat file, similar to a file system."
"The most useful feature is the management of the backup."
"It's flexible. We don't need to have a solid upstream availability failover, and everything is seamless in Atlas."
"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."
"It's a good solution for NoSQL databases."
"The solution has a very intuitive user interface."
"The auto-scaling feature is the most valuable aspect."
 

Cons

"The product's user interface could be more user-friendly to improve the overall user experience."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"The only thing that could be better is the pricing."
"It is hard to do logging with the solution."
"In the case of Google, they need to work on a more easy interface for users."
"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."
"I would like a more comprehensive dashboard."
"I would like the solution to offer more integration capabilities since it is an area where the solution lacks."
"The initial configuration fine-tuning for performance can be time-consuming."
"The installation was straightforward except for the network hardware because it was a little complicated to make the connection with our VPC on AWS."
"Customer support needs improvement knowledge-wise."
"Searching and browsing through the collection must be made easier."
"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
 

Pricing and Cost Advice

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"From a financial perspective, Google Cloud SQL is on the cheaper side."
"You need to pay extra costs for backup and replication."
"The pricing is very much an important factor as to why we use this solution."
"The solution is affordable."
"It is not expensive, especially considering the significant reduction in database management time."
"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."
"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."
"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."
"The tool is free since it's an open-source product."
"We pay for a license."
"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."
"The solution is fairly priced."
"It is too expensive. They need to work on this."
"The solution is fairly priced. I rate the pricing a seven out of ten."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
11%
Retailer
9%
Comms Service Provider
6%
Computer Software Company
16%
Financial Services Firm
15%
Comms Service Provider
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Google Cloud SQL?
The implementation part of the product was easy.
What is your experience regarding pricing and costs for Google Cloud SQL?
It is not expensive, especially considering the significant reduction in database management time.
What needs improvement with Google Cloud SQL?
The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use.
What do you like most about MongoDB Atlas?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...
What is your experience regarding pricing and costs for MongoDB Atlas?
MongoDB Atlas offers various options based on your needs. It can accommodate both, whether you require the enterprise version with advanced features or prefer to start with an open trial version.
What needs improvement with MongoDB Atlas?
One area for enhancement is containerization. They could explore ways to facilitate deploying MongoDB containers within the platform.
 

Also Known As

No data available
Atlas
 

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Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
Find out what your peers are saying about Google Cloud SQL vs. MongoDB Atlas and other solutions. Updated: May 2024.
787,817 professionals have used our research since 2012.