Google Cloud has a free version and offers a free trial.
Oracle Cloud Infrastructure (OCI)
- Industry: Religious Institutions
- Company size: 2–10 Employees
- Used Weekly for 1+ year
GCP is a robust, powerful platform that offers simple cloud hosting for websites
Google Cloud Platform allows our website to scale rapidly as needed, while offering a cheap and completely customizable hosting platform. While complicated, GCP allows power users to run very powerful websites for fairly cheap, and unlimited potential for future development.
GCP is a very complicated platform, with unlimited potential for those who know how to use it; but once you learn how to use a specific tool - it becomes a very powerful and simple tool to use.
I currently only use the Compute Manager (Virtual Machine), VPC Network (External IP) and Network Services (Cloud DNS) to run a cloud-based Wordpress site. Overall, once you learn the system, Google Cloud offers a very powerful solution for web management - giving unlimited potential for upgrades & sizes, allowing for localized solutions & access to the full Google Cloud network, and giving a (cheap) solution for powerful web hosting. With GCP, we spend only $7 a month (CAD), and our site runs significantly faster than it previously did on other hosting services.
On top of that, GCP allows complete control over the backend linux server; which is a learning curve in itself, but offers quick & easy ways to manage every aspect of your website - the PHP version, specific file permissions, custom platform solutions (such as access to install different Google API's).
Google Cloud Platform is an insanely powerful platform with incredible features, but it also carries a VERY steep learning curve and is not for the faint of heart. While other web hosting services provide a simple interface most people can learn quickly, GCP throws you into the deep-end; requiring deeper knowledge of linux code (for backend management) and an understanding of web hosting in order to operate properly. Fortunately, with numerous guides and support forums/groups out there, it can be easy to learn.
Alternatives ConsideredMicrosoft Azure
Reasons for Choosing Google CloudSquarespace no longer fit our design or hosting needs.
Reasons for Switching to Google CloudSimplicity of interface & familiarity with brand
- Industry: Telecommunications
- Company size: 10,000+ Employees
- Used Daily for 1+ year
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.
I 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.
The 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.
Alternatives ConsideredAmazon EC2
Reasons for Choosing Google CloudProblems, 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.
Reasons for Switching to Google CloudSince 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.
- Industry: Higher Education
- Company size: 501–1,000 Employees
- Used Daily for 6-12 months
Google Cloud review
My favorite thing about Google Cloud is the data storage and management. It is very inexpensive compared to other similar systems.
What I liked least is I feel like I am not using the system to its fullest extent but it is not very user friendly.
- Industry: Food & Beverages
- Company size: 5,001–10,000 Employees
- Used Monthly for 2+ years
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.
My 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.
Google 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.
- Industry: Computer Software
- Company size: 11–50 Employees
- Used Daily for 2+ years
A trusted partner, and innovative IaaS and PaaS provider
We moved from a previous cloud hosting platform that had persistent downtime issues and we haven't had this issue in over 8 years with Google.
Whilst remaining innovative, security and reliability is paramount and this is evident through all of the Google Cloud platform products. We know that the products and tools available to us can be utilised for new projects and we're not afraid to commit to using these.
Some products are released with limited functionality and take time to evolve, other platforms perhaps have more mature offerings to compliment the compute resources. Naming conventions and rebrands of products can be confusing at times, especially when the name differs slightly when interacting via API, CLI vs GUI.