Google Cloud
About Google Cloud
Google Cloud Pricing
Free Tier: New customers get $300 in free credits to fully explore and conduct an assessment of Google Cloud. You won’t be charged until you upgrade. Free Usage Per Month: All customers get free hands-on experience with 20+ popular products, including Compute Engine and Cloud Storage, up to monthly limits. Each product has its specific pricing and is usually charged per usage per month. Please refer to the specific product pricing page on Google cloud Website for more details.
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Most Helpful Reviews for Google Cloud
1 - 5 of 1,818 Reviews
Andrew
11 - 50 employees
Used more than 2 years
OVERALL RATING:
4
Reviewed October 2021
Google Truly is the Best
Melvin M
Verified reviewer
Information Technology and Services, 201-500 employees
Used daily for more than 2 years
OVERALL RATING:
5
EASE OF USE
5
VALUE FOR MONEY
5
CUSTOMER SUPPORT
5
FUNCTIONALITY
5
Reviewed May 2022
Best Cloud Server Storage Facilities
This is the Fastest Cloud Platform for launching your Database. The integrations are dynamic and Google Cloud Servers will guild your database into success. You can integrate many softwares that help build your business.
PROSI used Googl Cloud To Launch My backend software (database) for my Business Website and the integration resulted to the most successful profits I've ever seen in my business history. They offer a wide range of Cloud computing and offer about $300 credit for building this system.
CONSYou have to be willing to put in the maximal time and effort to make good business profit. Its hardwork and you have to adapt to the Cloud environment. At the end of the day I'm not complaining I prefer Google Cloud Server when it comes to Cloud Computing , you just have to be ready to work smart and hard.
Reason for choosing Google Cloud
Google Cloud has Cloud Computing features, major difference.
Reasons for switching to Google Cloud
Blue Host started becoming too expensive.
Orianne
Verified reviewer
Telecommunications, 10,000+ employees
Used daily for less than 2 years
OVERALL RATING:
4
EASE OF USE
4
VALUE FOR MONEY
4
CUSTOMER SUPPORT
4
FUNCTIONALITY
4
Reviewed August 2022
Enhanced AI and K8 features facilitate the development of the latest applications
All data processing can be completed by accessing the cloud platform from a web browser. The ability to work seamlessly with Google Earth Engine. Even if you do not have a high-specification machine at hand, you can perform various data processing you want by operating the cloud from your browser. Because you can directly run analysis algorithms, such as machine learning, linking with various Earth Engine data. By using GKE, we no longer needed to operate our Kubernetes cluster and could now focus on application development. As a result, we were able to concentrate on developing services that could deliver more value, contributing to the speed and quality of application releases.
PROSI think the Kubernetes cloud service is very easy to use, partly because it is provided by Google, which developed Kubernetes. We also have a full range of AI services, and by combining them with Google AI, we can offer AI services seamlessly, which helps improve the added value of our services.
CONSThe web browser interface is constantly changing. When the system is updated, it also changes the menu display, etc., so it can be a bit confusing. There is no problem with the data processing itself, but sometimes the response at the first stage of access from the browser seems a bit slow.
Reason for choosing Google Cloud
Since it is relatively inexpensive and can be accessed by many people, it has lessened the need to prepare a local environment at a cost. Since a large amount of data can be analyzed using cloud computing resources, it is expensive, but considering time and resources, it seems reasonable.
Reasons for switching to Google Cloud
Problems, specific effects, and various functions have been solved, and it has become possible to perform complex analyses in conjunction with Google Earth Engine. It became possible to proceed with the analysis without worrying about the specifications of the machine in question.
Piotr
Information Services, 11-50 employees
Used daily for more than 2 years
OVERALL RATING:
5
EASE OF USE
5
VALUE FOR MONEY
4
CUSTOMER SUPPORT
3
FUNCTIONALITY
5
Reviewed April 2024
Excellent cloud platform
* Kubernetes support together with their serverless offering (Cloud Run) is first class * Interoperability with other Google services through workload identity is A+
CONSYou need to pay extra for a support - which isn't that great.
Gaurav
Food & Beverages, 5,001-10,000 employees
Used monthly for more than 2 years
OVERALL RATING:
3
EASE OF USE
3
VALUE FOR MONEY
3
CUSTOMER SUPPORT
2
FUNCTIONALITY
3
Reviewed September 2020
Robust clickstream data storage and analysis tool
My overall experience with Google Cloud Platform has been satisfactory. I have been able to work with IT to import marketing campaigns data from multiple sources and store them for querying by analysts in my team. Due to scalability and stability of databases in GCP, I can keep moving more marketing data without worrying about slowing down the databases or crashing them. So, all analytics pulled using this imported data can populate a dashboard and keep it updated with fresh insights. Which helps in driving higher ROI.
PROSMy marketing team uses Google Cloud Platform to collect Google Analytics clickstream data and marry it with structured data from other sources. I analyze that correlated dataset using SQL queries. Some benefits I see off using GCP: I can access data online using a Google email address which I already use for other Google tools. I can export the data extract using Google Sheets and store it in Google Drive. I can import additional data by setting up a daily feed from Google Analytics. So, I get the benefits of a relational database with ability to scale using Google servers.
CONSGoogle Cloud Platform is great for importing datasets from Google Analytics and other Google suite tools. But from tools which are not in the Google eco system, it involves heavy lift from ETL developers or architects. Additionally, GCP Bigquery tool has a limit on the volume of queries an analyst can run. Once that limit or cap is crossed, companies have to pay extra. So, using the LIMIT command in SQL becomes critical to limit the numbers of rows. Also, there is a challenge of legacy SQL vs. current version because they use different syntax.