Google Cloud Reviews

All emails are scanned for viruses or fraudulent activities. Everything is validated. The emails are also scanned to see if users share valuable customer information.

Sometimes, the solution asks why we are sending certain emails. The emails are sent once we provide the clarification.

I did not find any issues with the solution. The solution is UI-based. The tool provides recommendations based on the way we use it. It suggests how we can cost-effectively use the tool. The solution has very good availability compared to the on-premise system. Previously, we faced downtime 10% of the time. It has been reduced to 1% now. The availability has been increased.

The security features must be improved. My organization has imposed high levels of security. We take quite a long time to get the required access. I am unsure if it's because of the policies we set or the delay from the product.

I have been using the solution for the past two years.

The tool is stable.

The tool is scalable. We have almost 3000 users. When we have an on-premise solution, we usually face problems. We have faced very few issues since we moved to Google Cloud. The availability has been increased.

The setup is moderately complex. Some systems have a complex structure. Some are very straightforward. Usually, we take around two weeks after the approval to get access. We usually deploy the AML models. We require database access to build the AML models. If a new member joins the team, it takes them at least two months to get the required access. The new member sits idle for two months. After that, they start learning to deploy and work on the model. The new member is trained for six months before producing the desired outcomes.

I will recommend the solution to others. It would be good for people to get certified as a Google Professional Cloud Architect before using the tool. It would help them understand Google Cloud. Overall, I rate the solution a seven out of ten.

Our company uses the solution for big data storage such as telecom, health services, SMP, and email serial data. 

We have a relationship with a vendor in India and serve as their Google partner. We have more than one million people using the CSP and 10,000 concurrent users.

The solution works well for BigQuery and big data analysis support such as column alerts and tabular databases. 

The security is very good. 

It is very easy to scale storage or databases. 

The solution should be more configurable for high-volume databases. The managed service does not allow flexible database configurations that are needed for better filter performance. We have a TPS first-grade, high-volume database using an ERC system. We are moving to Clarity for managed services and need more configurations to support it. 

The solution could improve its management services for MongoDB.

The website's memory only allows one TB. 

I have been using the solution for four years. 

The solution is stable so stability is rated an eight out of ten. 

The scalability and availability are very high so are off the charts at a twelve out of ten. 

The technical support team is okay. Sometimes they are not helpful or the response time is not good. We need support within 24 hours but they work on dealer time so responses take three or four days. 

Support is rated a six out of ten. 

Neutral

The setup is easy with no issues. 

The pricing is rated a six out of ten. 

The solution is easier to set up and use than Azure. You need lots of technical knowledge for Azure because it is difficult to use. 

The solution is the rising star but should offer better support. 

I recommend the solution over other cloud services and rate it an eight out of ten. 

Google Cloud is perceived as a cost-effective and user-friendly option, especially compared to AWS. The current affordability and ease of use make it suitable for medium-sized companies. While the complexity may increase in the future, for now, Google Cloud is considered easy to use.

The product should be more cost-effective. 

I have been using the product for six years. 

The product is stable. 

My company has more than 1000 users. 

The tool's deployment is not complex. 

Google Cloud's deployment can be done in-house. 

I rate the overall product an eight out of ten. Various factors come into play when considering the adoption of Google Cloud. Cost is a significant consideration, but it's not the sole factor. The availability of skilled developers in the market, technology support, scalability for future growth, and the range of products offered are also crucial. Additionally, the ease of finding Google Cloud-certified developers and the level of support from the company or vendor contribute to the decision-making process.

I'm using Google's solutions in the cloud to search for documents, store them, and so on. Since I have retired, I'm speaking as an individual user.

Google Cloud is very user-friendly, so whenever I face issues, I can handle and fix the issue myself.

For Google Cloud, the availability could be improved. I'm from China, and Google Cloud is not so popular there. Other than that, I would like to see an increase in storage with Google Cloud. For example, I use Baidu Cloud. Their cloud storage reaches the limit. In China, the biggest problem with Google Cloud is price.

I've been using these tools almost constantly in the three decades I've been in the IT industry. Now, as an individual user, I don't use Google Cloud that often.

I retired as an executive from a top IT solutions company, and companies that use Google Cloud have 50,000 to 70,000 employees.

In China, public clouds like Alibaba Cloud are similar to Google Cloud in terms of flexibility, but the difference is that in China, they compete on price. And users get similar clouds at a very low price. Those clouds are different from Google in that way.

The top three cloud services in China are Alibaba Cloud, Huawei, Tencent, etc. The top cloud service providers like Google, Azure, and IBM Cloud are not visible or popular in China.

Moreover, an alternative, like Microsoft, has problems with scalability. I use Microsoft Office and its email, and when I get too many emails, the performance is noticeably a problem.

The initial setup is straightforward. I can set up the solution by myself or with a little help from my colleagues.

Google Cloud is not completely free. You have to pay for a license.

In China, the public cloud providers price public cloud services very low. Overseas companies like Google, Microsoft, or even IBM face difficulty competing on price. Most users are casual users who won't go deep into the sophisticated features and functions. They only look at the price, and that's a big big factor.

I rate Google Cloud a six or a seven out of ten. I don't think I could recommend Alibaba Cloud people to use Google. The biggest problem is price, and there's no comparison. Moreover, Google has to improve its storage and scalability. Today, most users need storage and computing power, especially with ChatGPT-type AIGC. Usage is taking a lot of computing power. Public cloud services' usage by normal individual users is on the rise.

We use the solution for extended storage or for data. It's a platform that we use for storing documents and migrating proposals. If you want to move a document from one database or person to another, you can use data as a place to hold it and keep it secure. 

I like the Drive. It's easy to use. 

It is scalable.

The solution is pretty stable.

The product isn't too expensive. 

The subscription is expensive, and the data on offer can be too small. If you don't have the right size, it will delete what is over the allowed amount. If you go over your allotment, they want you to extend it, and you need to keep paying extra. Otherwise, you lose access to stuff that is over the storage limit. 

It is complex to set up.

We'd like Google to add more storage to the license the longer you use it. 

I've used the solution for a while. I've used it since my college days. 

The solution is stable as long as you have the right subscription. Every month, you need to make sure you have enough storage.

It is scalable for my needs. You do have to pay more to scale. However, it's mostly affordable to do so. 

I'm the only user. I use it for my own personal purposes. 

I've never used technical support. 

I've used Microsoft previously as well. 

The initial setup is not exactly straightforward. It's a bit complex. 

You have to be careful you are ensuring enough storage is there or being added. If you don't take a proper subscription, data will be removed. 

I can do the deployment by myself. 

I've not looked into ROI. 

You do need to take a subscription. If you do not, your data can be deleted. You need to keep buying more and more storage as you grow. The licensing is paid by myself monthly.

It's not too expensive. I'd rate it eight out of ten in terms of affordability. The price isn't the factor. The storage is the issue. They need to have more storage available and constantly added. 

I'm an end-user.

I am using the latest version of the solution. 

I'd recommend the solution to other users. I've recommended it to my colleagues. It's a good way to distribute data. 

I'd rate the solution eight out of ten.

Our company uses the solution for all office purposes including documents, presentations, meetings, and calendars. 

About 200 people in our office use the solution and we have scaled it to run our center for children with disabilities. All clients or children with disabilities have easy access to our center's resources through the solution.

The solution's features are very good and our staff loves using them.

Training in new advancements, technologies, or AI would help us understand how to best use the solution. We are always looking for ways to make our business easier or more efficient. We need more guidance on where to obtain knowledge. 

I have been using the solution for six years. 

The solution is stable. 

The solution's scalability is very good. We use the solution internally and have scaled up to allow access to our clients. 

We can easily create forms and gather data with no issues. We are now looking at Google Analytics to learn how to manage our data. 

We use technical support once or twice per year but typically resolve issues ourselves. We are careful how much we use technical support because we are billed for their assistance. 

The initial setup is very easy. 

We implemented the solution in-house with our six IT technicians. They provide support and training. We also have volunteers in the UK and USA to assist with any questions. 

We use the NGO version so the cloud reasonably priced at $2 to $3 per month. 

I recommend the solution and rate it an eight out of ten. 

The solution is used for storage for disaster recovery. It is used to store all the company data outside the company premises. It is also used for backups, AI processing, and database storage.

Some services use AI, and we use those services from Google.

The protection is good enough. We can increase the storage as we need. The global infrastructure impacts our service availability and latency positively. Some customers want their data stored in Europe. Others need it closer to where the users operate to minimize the latency and lag for accessing the data.

The price can be lowered significantly.

I have been using the solution for ten years. I am using the latest version of the solution.

The tool is stable. I rate the stability a ten out of ten.

The tool is scalable. I rate the scalability a ten out of ten. We have five users in our organization. The users configure and deploy the tool for our customers. It is not for our internal use.

The initial setup is simple enough if we know what we are doing. After the right amount of training, it's simple. There is a learning curve, but it is not very high or steep. The time taken for deployment depends on the architecture we are deploying.

The deployment was done in-house. We are a software development company. We have in-house personnel for deployments.

It's not an upfront cost. It grows when we need it to grow and comes down when we need to scale it down. We pay per use monthly.

We also use AWS and Azure. We adapt to products based on our customers’ needs.

People who want to use the tool must analyze their specific case before they commit to a cloud platform. In some cases, one of them might be better than the other. It is not generic. It depends on the use case. Our goal is to help our customers use the service. So, the scalability doesn't help us directly. It helps our customers grow.

There are different use cases. The value for us is that we can offer cloud-agnostic services. Regardless of the customer preference, we can help them configure their cloud systems. Overall, I rate the solution an eight or nine out of ten.

I use the solution to deploy .NET applications to the cloud. I deploy Web APIs and console applications.

Cloud Run is pretty helpful. Pub/Sub is also helpful.

The product must provide support for .NET. Microsoft has support for .NET because .NET is a Microsoft product. We ran into an issue when we were waiting for Google to support .NET 6. Google is slower to support .NET. It must cater more to .NET developers.

I have been using the solution for one year.

I rate the tool’s stability a nine out of ten. We rarely had issues. We run our applications on Cloud Run. We had a feature in our software where we had to generate an Excel report, and it limited us to 32 megabytes. We had to work around it.

I rate the tool’s scalability a nine out of ten. Probably 100 users are using the solution in our organization.

We were using Azure before.

The initial setup is fairly easy. We have a tool called Jenkins to deploy the product. It only takes a few minutes.

The solution is cheaper than Azure.

Google Cloud came late to the game, so it's not used as much as AWS. We can give it a try because it's easy. It’s easy to configure. It gives us another option. Overall, I rate the product a nine out of ten.