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Google Cloud SQL vs SingleStore comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Aug 12, 2024

Review summaries and opinions

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

Categories and Ranking

Google Cloud SQL
Ranking in Database as a Service (DBaaS)
6th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
23
Ranking in other categories
Relational Databases Tools (19th), Database Management Systems (DBMS) (6th)
SingleStore
Ranking in Database as a Service (DBaaS)
11th
Average Rating
8.8
Reviews Sentiment
7.4
Number of Reviews
6
Ranking in other categories
Vector Databases (15th)
 

Mindshare comparison

As of January 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 8.5%, down from 16.8% compared to the previous year. The mindshare of SingleStore is 3.0%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Database as a Service (DBaaS) Market Share Distribution
ProductMarket Share (%)
Google Cloud SQL8.5%
SingleStore3.0%
Other88.5%
Database as a Service (DBaaS)
 

Featured Reviews

VD
Database Engineer at Springer Nature
Migration to cloud eases management but needs better support for high I/O operations
Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks. There is also difficulty in changing the time zone after the database is set up. Moreover, some features available in MSSQL on-prem are missing on Google Cloud SQL, affecting migration potential.
VK
Solution Architect at Wipro Limited
An excellent choice for diverse data processing needs with exceptional in-memory capabilities, robust failover mechanisms, easy scalability and high performance
Scalability is its key strength. Adding servers for scalability is a straightforward process involving simply incorporating a few additional servers and recycling the cluster triggers automatic repartitioning and redistribution of data. For instance, if the initial database creation involved a hundred servers and later, four more servers are added, specific commands can be executed to increase the partitions to one hundred twenty. The data is then efficiently redistributed across the expanded partitions without the need for manual data movement, ensuring a seamless and efficient scalability process. In my current organization, approximately three projects involve the usage of SingleStore, with a team size ranging from ten to twenty individuals.

Quotes from Members

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

Pros

"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."
"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."
"The most valuable feature for us is the Postgres on Google Cloud SQL since it supports most of the features we need."
"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"Google Cloud SQL is highly scalable."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."
"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."
"The paramount advantage is the exceptional speed."
"The product can automatically reinstall and reconfigure in case of a shutdown."
"It's a distributed relational database, so it does not have a single server, it has multiple servers. Its architecture itself is fast because it has multiple nodes to distribute the workload and process large amounts of data."
"The ability to store data in memory is a standout feature, enhanced by robust failover mechanisms."
"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."
 

Cons

"They could improve documentation and dashboard stability for efficient user experience and database management."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"I would like to see better integration with all the different tools on the platform."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."
"Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive."
"The monitoring part could be better."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"We don't get good discounts in Pakistan."
"For new customers, it's very tough to start. Their documentation isn't organized, and there's no online training available. SingleStore is working on it, but that's a major drawback."
"It is not the optimal choice for direct data collection through queries, and it's more suited for aggregation tasks."
"Having the ability to migrate servers using a single command would be extremely beneficial."
"Poor key distribution can significantly impact performance, requiring a backward approach in design rather than adding tables incrementally."
"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."
 

Pricing and Cost Advice

"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."
"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."
"The pricing is very much an important factor as to why we use this solution."
"You need to pay extra costs for backup and replication."
"The solution is affordable."
"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."
"SingleStore is a bit expensive."
"They have two main options: cloud installation and bare-metal installation, each with different pricing models."
"The product's licensing is not expensive. It is comparable."
"I would advise users to try the free 128GB version."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
11%
Educational Organization
9%
University
8%
Financial Services Firm
30%
Computer Software Company
10%
Comms Service Provider
8%
Retailer
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise9
By reviewers
Company SizeCount
Small Business4
Large Enterprise3
 

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?
We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.
What needs improvement with Google Cloud SQL?
Sometimes the sharing with third parties or configuring that in Google Cloud SQL is not the most intuitive. From a user perspective, if Google Cloud SQL integrated AI directly into the query so tha...
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Overview

 

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
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Find out what your peers are saying about Google Cloud SQL vs. SingleStore and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.