Google Cloud SQL vs SingleStore comparison

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Google Cloud SQL

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Executive SummaryUpdated on Aug 12, 2024

Google Cloud SQL and SingleStore are two robust database solutions. Based on feature and performance comparisons, SingleStore has the upper hand due to its high performance and real-time analytics.

Features: Google Cloud SQL offers strong integration with other Google Cloud services, automated backups, and a user-friendly management console. SingleStore is highly valued for its ability to handle large datasets with minimal latency, real-time processing, and strong scalability.

Room for Improvement: Google Cloud SQL users would like to see enhancements in performance under high workloads and better support for large datasets. SingleStore users point out that improvements could be made in simplifying database management and extending integration with more third-party tools.

Ease of Deployment and Customer Service: Google Cloud SQL is praised for its straightforward deployment process and strong customer support. Deploying SingleStore is noted to require more technical expertise, but users find its customer support responsive and helpful.

Pricing and ROI: Google Cloud SQL is budget-friendly with transparent pricing, providing good ROI, especially for businesses already using Google Cloud. SingleStore, despite being more expensive, is deemed worth its price due to its high performance and superior real-time analytics, leading to a solid ROI for data-intensive use cases.

To learn more, read our detailed Google Cloud SQL vs. SingleStore Report (Updated: April 2026).

Google Cloud SQL vs. SingleStore

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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

6.2

Number of Reviews

Ranking in other categories

Relational Databases Tools (18th), Database Management Systems (DBMS) (9th)

SingleStore

Ranking in Database as a Service (DBaaS)

12th

Average Rating

8.6

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Vector Databases (16th)

Mindshare comparison

As of May 2026, in the Database as a Service (DBaaS) category, the mindshare of Google Cloud SQL is 7.2%, down from 16.2% compared to the previous year. The mindshare of SingleStore is 3.4%, up from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Google Cloud SQL	7.2%
SingleStore	3.4%
Other	89.4%

Database as a Service (DBaaS)

Featured Reviews

Rituraj NSIT

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

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Kelvin Ben

Senior Software Engineer at Honeywell

Real-time analytics has transformed daily decisions and delivers fast dashboards from streaming data

The best features SingleStore offers include fast data recovery and data compression by 80 percent. Having the information in sheets helps me to process the information quickly. Simplicity in T-SQL is another aspect I appreciate. Data recovery and sheet-based processing help my team on a day-to-day basis by enabling us to handle information efficiently. I would like to add that the data compression by 80 percent helps us in an excellent way since we are very fast in obtaining the data for our dashboards and the compression of the information is great. SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone. It has been very helpful because our internal clients are happy to have the data and make data-driven decisions easily. Making decisions based on data within a two-hour delay to the transactional database is excellent since we went from twenty-four hours to two hours. I think the best contribution is decision-making with data that is close to reality. Reducing that delay from twenty-four hours to two hours has significantly affected my team and business outcomes by increasing productivity. We have been able to serve all our customers, and they are very happy. We can deliver to them on time.

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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 easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."

"Ease of management and the ability to oversee the statistics of your SQL."

"The main benefit to our organization is the fact that we no longer need DB admins that take care of the physical servers, backups etc... All this is managed by GCP."

"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."

"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."

"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."

"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 features are that it's easy to use, simple, and user-friendly."

More Google Cloud SQL pros

"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."

"SingleStore has impacted my organization positively by enabling us to run low-latency analytics and model-driven use cases at scale, which is quite difficult for OLAP and OLTP databases alone."

"MemSQL is a very powerful database."

"The most valuable feature is the ability to create pipelines, streamline and extract data from the pipelines."

"MemSQL supports the MySQL protocol, and many functions are similar, so the learning curve is very short."

"The product can automatically reinstall and reconfigure in case of a shutdown."

"SingleStore has impacted my organization positively because the output and performance of the app have been improved."

More SingleStore pros

Cons

"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."

"They could improve documentation and dashboard stability for efficient user experience and database management."

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"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."

"In the case of Google, they need to work on a more easy interface for users."

"It is hard to do logging with the solution."

"The overall documentation and the connectors need improvement."

"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."

More Google Cloud SQL cons

"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."

"Having the ability to migrate servers using a single command would be extremely beneficial."

"I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good."

"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."

"We don't get good discounts in Pakistan."

"There should be more pipelines available because I think that if MemSQL can connect to other services, that would be great."

"SingleStore can be improved in the aspect that the Azure pipelines do not have many parameterization features compared to others, for example, AWS."

More SingleStore cons

Pricing and Cost Advice

"You need to pay extra costs for backup and replication."

"It is not expensive, especially considering the significant reduction in database management time."

"The solution is affordable."

"The pricing is very much an important factor as to why we use this solution."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"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."

"SingleStore is a bit expensive."

"I would advise users to try the free 128GB version."

"Using it for analytical purposes can be cost-effective in the long run, especially in terms of infrastructure."

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Educational Organization

13%

Computer Software Company

University

Financial Services Firm

29%

Computer Software Company

Comms Service Provider

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	5
Large Enterprise	4

Questions from the Community

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?

I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...

What is your primary use case for Google Cloud SQL?

I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...

What is your experience regarding pricing and costs for SingleStore DB?

My experience with pricing, setup cost, and licensing is that it can be a bit expensive for startups, but for my organization, the cost is affordable and cost-effective.

What needs improvement with SingleStore DB?

I have noticed that SingleStore can be improved because the integration of SingleStore with DataDog is not good. The data which is sent to DataDog sometimes does not match with the SingleStore dash...

What is your primary use case for SingleStore DB?

My main use case for SingleStore is for our data retention and load management. We have infrastructure wherein the user's data are used for quick search, which means the searching functionality in ...

Microsoft Azure SQL Database vs Google Cloud SQL

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Compared 6% of the time

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Compared 1% of the time

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Compared 7% of the time

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Compared 5% of the time

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Compared 5% of the time

CockroachDB vs SingleStore

Compared 5% of the time

Redis vs SingleStore

Compared 4% of the time

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Product Reports

Google Cloud SQL

Download Google Cloud SQL product report

Download SingleStore product report

Overview

Google Cloud SQL provides a fully managed database service underscoring ease of use, scalability, and integration with Google Cloud Platform services.

This platform facilitates database operations from automated backups to high availability, supporting databases like Postgres and MySQL. Its intuitive design eases management, while robust features like multi-region support and automatic scaling cater to developers seeking efficient infrastructure management without the burden of extensive backend tasks. Users from industries requiring scalable applications find it especially useful for its seamless integration with development projects and minimal maintenance demands, enabling a focus on innovative application development.

What are the standout features of Google Cloud SQL?

Automated Backups: Ensures data safety by automatically backing up databases.
Read Replicas: Enhances performance and availability with read operations across multiple copies.
Scalability: Provides dynamic scaling to handle workload changes efficiently.
High Availability: Offers reliable uptime with regional failover solutions.
Customization Flexibility: Adapts to specific needs with varied instance configurations.

What benefits should users explore in reviews?

Ease of Management: Simplifies database tasks allowing developers to concentrate on building applications.
Integration: Seamlessly connects with Google Cloud services enhancing operational capabilities.
Global Accessibility: Facilitates access to data from anywhere, supporting international operations.
Cost Efficiency: Reduces costs through its managed services model, reducing infrastructure overhead.

Industries leverage Google Cloud SQL within mobile applications, web frameworks, and marketing analytics. It supports hosting solutions in microservices and private VPC environments extending its use across internal and external infrastructure systems. By simplifying maintenance and migration from on-premises databases, companies achieve reliability and enhance their data management strategies.

Google

SingleStore delivers the performance you need for enterprise AI, providing the most performant data platform for apps and analytics at scale. SingleStore enables organizations to scale from one to one million customers in one unified platform. SingleStore offers transparent pricing as shown here https://www.singlestore.com/pricing/

SingleStore caters to over 400 customers globally, including major banks and tech companies in 50+ countries and 40+ verticals. It offers seamless scaling for both transactional and analytical workloads, simplifying data management with its MySQL compatibility and real-time processing capabilities. SingleStore's distributed architecture ensures speed and reliability, efficiently handling large data volumes.

What are the key features of SingleStore?

MySQL Compatibility: Eases the learning curve for users.
Built-in Pipelines: Connects to S3, Kafka, and more.
High Concurrency: Processes billions of records swiftly.
Replication & Failover: Enhances speed and reliability.
In-memory Storage: Ensures data safety and quick access.

What benefits can users find in SingleStore reviews?

Automatic Reconfiguration: Simplifies management tasks.
Impressive SQL Performance: Supports complex queries efficiently.
Scalability: Handles large datasets with a multi-node setup.

Top banks and fintech companies leverage SingleStore for efficient management of financial data, while media and telecom industries use it for scalable metadata management and improved data processing. Retail and eCommerce sectors benefit from enhanced transactional capabilities, reducing the need for separate databases and optimizing reporting processes. SingleStore's capacity to unite diverse workloads makes it a strategic choice across many sectors.

Sample Customers

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

400+ customers including: 6sense, Adobe, Akamai, Ant Money, Arcules, CARFAX, Cigna, Cisco, Comcast, DELL, DBS Bank, Dentsu, DirectlyApply, EY, Factors.AI, Fathom Analytics, FirstEnergy, GE, Goldman Sachs, Heap, Hulu, IMAX, impact.com, Kroger, LG, LiveRamp, Lumana, Nvidia, OpenDialog, Outreach, Palo Alto Networks, PicPay, RBC, Samsung, SegMetrics, Siemens, SiteImprove, SiriusXM, SK Telecom, SKAI, SONY, STC, SunRun, TATA, Thorn, ZoomInfo.

Google Cloud SQL vs. SingleStore