Google Cloud Reviews

So far, I like all the features that I use with Google Cloud. I like it very much compared to the previous tool that we had.

The speed, security, and performance of Google Cloud are excellent.

Actually, our company doesn't venture out much to use all of the products and features covered under Google Cloud because we do have our own customizations when it comes to the setups for the company. We are trying to maximize our resources, the cost, and the assets, and we want to control it on our own.

The product's initial setup phase is a little bit difficult, so it is an area where improvements are required.

I have three months of experience with Google Cloud. My role in the company is as a researcher and a developer. I am an end-user of the tool.

Stability-wise, I rate the solution a nine out of ten.

Scalability-wise, I rate the solution a nine out of ten.

We are working with approximately 300 users of the tool in our company.

The solution's technical support was average. I rate the technical support a six out of ten.

The technical support for Google's platforms are embedded under products, so we are meant to go for self-learning. My company does not have experience with human intervention when it comes to Google. Only self-learning is needed for the products.

Right now, we have Google Cloud's Compute Engine and SQL Server, but we have not used the tools yet because we are diverting into self-hosting.

Previously, I worked with Microsoft products for my previous employer. All Microsoft products, including Office, servers, databases, and SQL Server.

As a new product for us, the product's initial setup phase is a little bit difficult.

The product's deployment phase took place over a month. I then deployed the virtual machine, VPC, the storage, and SQL Server. We ran it for a couple of days, and then we saw the billing and the cost. The cost is based on the products you used, CPUs, Storage, Memory, API access and bandwidth. We saw that the tool was great but very costly for us, and so we did not continue.

If one is cheap and ten is expensive, I rate the tool's price as an eight.

I rate the tool a nine out of ten.

Private Cloud

Google

I primarily use Google Cloud for analytics purposes. The data originates from our on-premise cloud system but is transferred to Google Cloud for analysis.

Regarding Google Cloud's data analytics features, I find the presentation of information and the ability to move and transform data to be the most valuable. As for machine learning capabilities, they are helpful, especially in detecting anomalies or outliers in our data. For instance, Google Cloud can identify unusual network behavior and provide recommendations on how to address or leverage these findings effectively.

I think one area that could be improved in Google Cloud is the customer support. Sometimes the integration process can be a bit complex due to format errors. Also having clearer documentation or a larger support team could really help users like me understand and resolve issues more effectively.

I have been using Google Cloud for the past four years. 

In terms of stability, I'd give Google Cloud a nine out of ten as it's very stable.

Google Cloud is scalable, which serves our organization's scaling needs well. We have multiple users directly interacting with the technology, and while we don't have immediate plans to increase usage, we would consider extending it in the future. 

As for scalability, I'd rate it a ten out of ten as it's more than enough for our needs.

Integrating Google Cloud with our existing systems has been. Deployment is super fast, and takes a couple of minutes.

Google Cloud has helped us save time, approximately around thirty to forty percent.

Google Cloud is on the expensive side for us. I don't have exact figures on the cost per year or month.

I haven't used Google Cloud for AI projects personally. But I have utilized Google AI for optimizing Google Ads campaigns. It's an automated machine learning model that uses data from websites to understand customer behavior and improve marketing strategies for better results like increasing clicks or purchases. 

My advice for those considering Google Cloud is to have a technical advisor due to its complexity. It's data-driven, stable, and scalable, which are strong advantages.

Overall, I would give it a rating of around an eight out of ten. 

Public Cloud

We use the solution for our SAP infrastructure.

The product’s infrastructure is up to the mark. The infrastructure is easy to manage. It is better than Azure and AWS. It is easy to implement the product.

DevOps must be improved. DevOps in AWS is quite easy to establish and can be easily used by startups and big companies. It is not so with Google Cloud. The product must provide AI features.

I have been using the solution for more than one and a half years.

The tool is quite stable.

The tool is scalable. We support our customers. We have around 2000 to 3000 customers.

The support is good. The third-party support could be improved.

Positive

The installation is easy. Most of my customers have Windows. VDI lags in Google Cloud. The deployment takes one month. We have more than 30 people in our technical team. We have eight to ten people to maintain the solution. Other people are involved in support or are senior employees like cloud architects. It is easy to maintain the tool.

The solution is cheaper than AWS. The licenses are annual. The cost is inclusive of support.

We are partners. People must choose Google Cloud. It is a great product. Overall, I rate the product an eight out of ten.

I use Google Cloud for services like corporate email, data collection, Google Meet, session recording, presentation, and storing important documents in the cloud.

You can use Google Cloud tools easily, even if you know how Word, Excel, or PowerPoint works. Additionally, Google Meet is simple to use regarding configuration and recording sessions.

They could integrate artificial intelligence into the applications.

We have been using Google Cloud since 2015.

I rate the product's stability a ten out of ten.

I rate the product’s scalability an eight out of ten.

The initial setup process is simple. It takes just five minutes to complete and doesn’t require a much bigger team. You should know the access ID and password to log in.

Anybody can deploy the product.

They provide user-based licensing plans. Its plan could be less expensive.

I rate Google Cloud a nine out of ten. They should work on the cost. It is not feasible for many organizations to pay 1,500 per user.

The solution's most valuable feature is BigQuery. We can train models for forecasting and predictions by just writing SQL queries with it. Also, GKE features work best, along with integrating Istio for monitoring purposes.

The solution's integration with Oracle could be better. We encounter issues while migrating the database from Oracle to another SQL server.

We have been using the solution for two and a half years.

The solution is stable.

The solution is scalable and has automatic features for it. I rate its scalability a nine or ten.

The solution's technical support is good. We also contact other vendors trained in Google Cloud support in case of queries.

Positive

I rate the solution's initial setup process a seven out of ten. We need to understand its complete landscape for more straightforward implementation. Although, its deployment is faster and takes over a month to complete.

The solution has OpEx and CapEx, pricing models. Thus, the cost depends on specific use cases.

I rate the solution an eight out of ten.

The features I found most valuable are the cloud run and cloud function.

I would like for this solution to improve its user interface and documentation.

In the next release, I'd like to see information that's easier to use.

I have been using this solution for the past year.

I would rate the stability of this solution a nine, on a scale from one to 10, with one being the worst and 10 being the best.

I would rate the technical support of this solution a 10, on a scale from one to 10, with one being the worst and 10 being the best.

Positive

Previously, we used Amazon Web Services.

I would rate the initial setup process a six, on a scale from one to 10, with one being the worst and 10 being the best. If you want to configure the solution correctly, you have to use your own R&D and configure and select the correct commands. The deployment took a couple of minutes.

Regarding pricing, we are currently using free credits.

I would advise other people looking into this solution to go through the documentation thoroughly first.

I would rate this solution as a whole a seven, on a scale from one to 10, with one being the worst and 10 being the best.

We are migrating some of our application workloads from an on-premise system to Google Cloud using Kubernetes.

Google Cloud's most valuable attribute is its capability for on-demand auto-scaling, and it also simplifies numerous intricate tasks for its users.

The price of the solution could be more transparent.

I have used Google Cloud within the last 12 months.

I rate the stability of Google Cloud a nine out of ten.

I rate the scalability of Google Cloud a seven out of ten.

I have not used the support from Google Cloud.

The initial setup of Google Cloud is straightforward. However, the migration of workload is complex.

We approached Google Cloud with certain cost assumptions but were surprised to find that our actual expenses were higher than expected. Initially, we had anticipated spending a set amount on the solution, but in reality, we ended up spending more than that. It would be helpful to have greater transparency and educational documentation on the cost-related aspects of Google Cloud.

My advice to others wanting to use this solution should have a migration strategy and there are other solutions on the market with similar features. User education is critical to be successful with the solution.

One of the challenges when it comes to Google Cloud is how to familiarize traditional Java developers, working database administrators, or data engineers with its offerings. The question is how to teach them to use it effectively and ensure that it functions properly. If the education is successful, Google Cloud can be a fantastic solution to work with.

I rate Google Cloud a nine out of ten.

We primarily use the solution for data. For example, we use it for email and Google Docs and sheets and content of that nature. 

I find that Google Cloud is easier to understand than other options. 

I like its product offering, which is simpler to figure out and automate.

The setup is straightforward. 

It is scalable.

The solution is stable.

Technical support has been good. 

I'm still confused by the usefulness of the cloud and I'm not sure why everyone is moving there. I don't trust the act of sending my company's information to whoever knows where instead of having it safe on my own servers. 

I find it hard to download items, especially on their operating system.

The Google operating system leaves a lot to be desired. 

It does not seem to provide any virtualization whatsoever.

I've used the solution for a while. 

The solution is stable and reliable. There are no bugs or glitches and it doesn't crash or freeze. 

Cloud providers like Google are designed to be scalable. The issue is you are supposed to be bursting at the seams before you scale and that doesn't make much financial sense.

The customer service is very good. 

Neutral

I'm also familiar with Azure. I've used Microsoft products for ten years or so, however, I find Google to be simpler.

The initial setup was pretty straightforward and simple. 

Pricing is pretty good. However, all cloud products offer pretty close to the same pricing. 

I haven't used a lot of cloud products and haven't experimented too much with Google Cloud, beyond playing with Google Workspace. 

From what I have experienced, I would rate it seven out of ten.