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Google Cloud SQL OverviewUNIXBusinessApplication

Google Cloud SQL is #3 ranked solution in top Database as a Service vendors. PeerSpot users give Google Cloud SQL an average rating of 8 out of 10. Google Cloud SQL is most commonly compared to SQL Azure: Google Cloud SQL vs SQL Azure. Google Cloud SQL is popular among the large enterprise segment, accounting for 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 25% of all views.
Buyer's Guide

Download the Database as a Service Buyer's Guide including reviews and more. Updated: May 2022

What is Google Cloud SQL?
Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.
Google Cloud SQL Customers
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync
Google Cloud SQL Video

Archived Google Cloud SQL Reviews (more than two years old)

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it_user927078 - PeerSpot reviewer
Commercial and Operations Director at SygmaTel, BlaBla Connect, KnowMe Solutions
Real User
Easy to manage and has the ability to oversee the statistics of your SQL
Pros and Cons
  • "Ease of management and the ability to oversee the statistics of your SQL."
  • "Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."

What is our primary use case?

GCP hosts our entire infrastructure, both internally used systems, and externally-facing ones. Back to back this means that Google Cloud SQL is used for all SQL related requirements by our systems.

How has it helped my organization?

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.

What is most valuable?

In terms of most valuable features - its ease of management and the ability to oversee the statistics of your SQL, and obviously its availability all the time.

What needs improvement?

In my humble opinion, nothing can be improved. It's a good solution as it is. What could be refined however is the ability to have more than just one secondary/replication site. At the moment you can have a primary DB and a replica one, but having the option to add a third or fourth replication site would be fantastic.
Buyer's Guide
Database as a Service
May 2022
Find out what your peers are saying about Google, Microsoft, Amazon and others in Database as a Service. Updated: May 2022.
607,127 professionals have used our research since 2012.

For how long have I used the solution?

We've been using it for around 2 years.

What do I think about the stability of the solution?

Google Cloud SQL is very stable.

What do I think about the scalability of the solution?

It is highly scalable. You can quickly add the disc space and you can quickly add different discs and nodes. Everyone in our company is using Google. Emails are Google. Everyone's using Google. All infrastructure for our operation is on Google. The more business we have the higher the usage.

How are customer service and support?

Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products.

How was the initial setup?

The initial setup was quite simple. It took maybe 10, 20 minutes

What other advice do I have?

On a scale of 10, I'd give it a 10.  I would recommend everyone to check all of Google's Cloud portfolio and give it a shot.

Which deployment model are you using for this solution?

Private Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Google
Disclosure: I am a real user, and this review is based on my own experience and opinions.
it_user1084104 - PeerSpot reviewer
Director at a tech vendor with 11-50 employees
Real User
Scalable and cost effective solution for data analysis
Pros and Cons
  • "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."
  • "Google Cloud SQL still needs better connectivity to outside, existing data sources."

What is our primary use case?

I primarily use it for marketing data and marketing analytics.

How has it helped my organization?

This version of Cloud SQL becomes a part of our larger data warehouse, which is just a part that the SQL manages. I work on the visualization part. So I usually already have all my data coming into my dashboard and that's where I get my insights from. I don't dig it out from the SQL.

What is most valuable?

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 can start a release model experiment on a thousand people, and if that experiment is a success I can run it on a million people, and the whole analysis doesn't require any changes so it's scalable that way. It's much more cost-sensitive. It's not that costly for me to do it.

What needs improvement?

The only room for improvement here is that they need to connect to more existing data sources so that it becomes easier for a layman to get a more realistic understanding of what's happening. They don't put data outside of the cloud storage. If I can query and there is some way for me to ingest it with various query cells, that would be great.

Better connectivity with other marketing tools would be helpful. Right now it's limited in scope relative to the other connectors. So they should build more connectors, making it easier to connect the data.

There's no standalone application that I could just click and start shooting it.

For how long have I used the solution?

I have been using Google Cloud SQL for the last two months.

What do I think about the stability of the solution?

In terms of stability, Google Cloud SQL is very stable. There are stability issues but they get fixed when I'm running it for the smaller experiments or the smallest subset. So whatever code outlier situations exist, we are able to understand that it's a smaller subset and when we scale it back it is not really an issue.

What do I think about the scalability of the solution?

As I mentioned above in the features section, Google Cloud SQL's scalability is one of its best features.

How are customer service and technical support?

We get very good support from Google. If we have any questions at all we talk to them and they work it out. So it's very good.

Which solution did I use previously and why did I switch?

I previously used a different solution for our marketing database, but it was very limited in scope. Moving forward, Google Cloud SQL is the only data warehouse I will ever use.

How was the initial setup?

The initial setup was straightforward. Our deployment took around two months.

What about the implementation team?

We implemented it ourselves. We are a consultancy company, so I asked my engineer to build it for us.

What's my experience with pricing, setup cost, and licensing?

The advice I would give before starting up is to have a small interactive introductory session with some domain experts because even though it looks quite similar to MySQL and all the other SQL solutions out there, Google Cloud SQL lets me do a lot more. And it offers a lot of perks if you know how exactly to handle the product. So even if it is with a small, introductory session of two hours or three hours long, where the experts tell me that, "Hey, this is the whole scope of this solution or the product but it will be scaled up," it will help the end-users a lot because the documentation itself is not that extensive.

What other advice do I have?

We have 11 - 12 people working with it - all marketing people.

On a scale from 1 to 10, 1 is the lowest and 10 the highest, I'd give it an 8.

Which deployment model are you using for this solution?

Public Cloud

If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

Google
Disclosure: I am a real user, and this review is based on my own experience and opinions.
Buyer's Guide
Database as a Service
May 2022
Find out what your peers are saying about Google, Microsoft, Amazon and others in Database as a Service. Updated: May 2022.
607,127 professionals have used our research since 2012.
Cloud Data Engineer at Programmads
Real User
Easy to use, efficient, simple, and user-friendly
Pros and Cons
  • "The most valuable features are that it's easy to use, simple, and user-friendly."
  • "I would like to see better integration with all the different tools on the platform."

What is our primary use case?

Our primary use case of this solution is to have it run as a database for an application and to store data. We are using the public deployment model of this solution. It runs really well, it's cheap, it's efficient, it's user-friendly,

What is most valuable?

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

What needs improvement?

Better integration with other tools could improve this solution. For example, data analytics is very important, so that's why I go to BigQuery. They should make things more user-friendly, not technically on the use of SQL but when it comes to integrating it with other tools, it could be like dashboards or business intelligence. I believe Google is already working on that as well because they bought Looker about a month ago. I would like to see better integration with all the different tools on the platform.

For how long have I used the solution?

I have been using this solution for two years.

What do I think about the stability of the solution?

It's very stable, we haven't had any issues at all. 

What do I think about the scalability of the solution?

It does have good scalability. We haven't had any problems with that. 

We have ten users using this solution. Those users are clients who we provide services for. We do have plans to increase usage.

In terms of how many staff are required for the maintenance of this solution, in our team, we are eight. We do many things. Our focus now is on BigQuery, so data warehousing. 

Which solution did I use previously and why did I switch?

I have previously worked with Microsoft and Amazon AWS. I switched because I just like Google. I think it's a great platform. 

The two main competitors are Microsoft and Amazon Web Services. Out of these three, Google is the smallest when it comes to cloud in general, but I am pretty happy with how things are moving. I've been using Google for many years now and the services and it runs very well. I also use G Suite, Google Docs, you name it. It all works really well. It's user-friendly, to the point, it's not complicated. Whereas with Microsoft and some Amazon services can get quite complicated.

Although, maybe some of their services are more expanded, and maybe you can do some more. From a technical point, they are more advanced sometimes. You could say that for Amazon. My experience is that if a tool is easy to use and you get the job done in the fastest way possible, that tool has a great chance of becoming the leader because it's about user-friendliness. With Google, you get the job done and that's why you use these companies. 

How was the initial setup?

The initial setup was straightforward. It took around ten minutes. 

What about the implementation team?

I deployed this solution myself. 

What was our ROI?

We have seen an ROI from this solution.

What's my experience with pricing, setup cost, and licensing?

It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL. 

There aren't any additional costs that I'm aware of.

Which other solutions did I evaluate?

I used Microsoft and Amazon and I also looked at Oracle, which is also an extraordinary company. When it comes to databases Oracle is very good. The problem with Oracle is that they're a bit of a world of their own. Whereas with Google, they're pretty open-source and open-minded, so they embrace the multi-cloud and hybrid cloud. That's what makes Google attractive.

What other advice do I have?

Go for this solution because it gets the job done and it's cheap. You're up and running fast. That's what you want.

I would rate this solution a nine out of ten. Not a perfect ten because nothing is perfect.

Disclosure: My company has a business relationship with this vendor other than being a customer: Partner.
it_user927078 - PeerSpot reviewer
Commercial and Operations Director at SygmaTel, BlaBla Connect, KnowMe Solutions
Real User
The pricing, compared to other solutions, was an important factor in choosing this product.
Pros and Cons
  • "The setup was straightforward. Just a couple of clicks, and we were done."
  • "My suggestion to anyone thinking about this solution is to jump into it head-first!"
  • "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."

What is our primary use case?

The primary use case for this solution is real-time communication software, chatting services and a few other different services running on the mobile apps. So, the primary requirement for Google SQL was taking off the management heading.

What is most valuable?

It's all built into the web browser, so any operating system will work. It's easy to manage. They help me take care of the replication data backups and software upgrades, updates and so on. They take care of everything.

I no longer need experts in database management. When I say database management, I don't mean SQL commands and which command is better or which query is better constructed. The database management in terms of memory, configuration, disc space, archiving, back-ups, replication problems, updates and so on. So, I no longer need someone or a team of people sitting around, taking care of my database infrastructure. I only have Google for that.

What needs improvement?

In my opinion the most vulnerable problem with Google SQL is each SQL node is provided with a public IP address. They provide you the option or ability to customize your access control list, but at the end of the day, it's a public IP address.

For how long have I used the solution?

Less than one year.

What do I think about the scalability of the solution?

Quite honestly my usage so far did not test the limits of scalability. I cannot really comment on that one.

How are customer service and technical support?

I have not used technical support. 

Which solution did I use previously and why did I switch?

When we were using the Rackspace, we only used Rackspace virtual machines, for our virtual machine requirements, as well as our own SQL requirements. So, we had virtual machines, hosting SQL databases. And, it didn't really work out in our favor.

How was the initial setup?

It was very straightforward. Just a couple of clicks, and we were done.

What's my experience with pricing, setup cost, and licensing?

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

Which other solutions did I evaluate?

When considering other options, we considered AWS, Google Cloud, Ocean and Rackspace UK.

What other advice do I have?

I need to make sure that my data is stored securely, transported securely and accessed securely. And the second thing is the number of options I have. Google Cloud SQL gives us more options. 

My suggestion to anyone thinking about this solution is to jump into it head-first!

Disclosure: I am a real user, and this review is based on my own experience and opinions.
it_user685374 - PeerSpot reviewer
Senior Enterprise Architect with 501-1,000 employees
Vendor
Reduced management overhead on the DB side.

What is most valuable?

  • Automated backups
  • Read replicas
  • Integration with other GCP services

How has it helped my organization?

Reduced management overhead on the DB side; scripted env-ts (setup and tear down of the infrastructure within GCP).

What needs improvement?

  • Accessibility over internal network, rather than by public IP only
  • MySQL clustering (rather than replication or failover only)

What do I think about the stability of the solution?

Not really, as long as GCP infrastructure is up.

What do I think about the scalability of the solution?

For write operations – yes, as there is no MySQL clustering mode.

Which solution did I use previously and why did I switch?

Hosted MySQL DB, maintained by DBA; reason for switch: overall move to the cloud of other GCP components.

How was the initial setup?

Very straightforward, just a simple page to configure DB capacity and some additional attributes.

What's my experience with pricing, setup cost, and licensing?

Licensing is not applicable; pricing is reasonable. Slightly more expensive than corresponding Google Compute Engine instance.

What other advice do I have?

Most benefit would be for organizations which are moving other services to Google Cloud.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
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Updated: May 2022
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