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.

Pros

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).

Cons

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.

Google Cloud is a cost effective alternative to S3 and continually improving -watch this space.

Google Cloud has allowed us to scale key parts of our data pipeline and democratise access to data for reporting; removing bottlenecks in reporting and allowing self-service analytics, but it is overkill for companies that don't deal with pentabytes of data.

Pros

The integration with other Google products is particularly impressive and makes it easy to set up. Using Forms for entry to Sheets which sync to BigQuery and DataStudio makes for very quick and easy expansion. Recently they have added a feature whereby query results can be viewed in Sheets for quick, less technical analysis. I was particularly impressed by BigQuery's free public datasets: such as covid. AppSheet is much easier to use than MS PowerApps. They are continually adding novel features, with a natural language processing feature coming soon, allowing SQL queries to be composed using natural English.

Cons

BigQuery does not feel like a mature product yet. The UI can be buggy and is not particularly user friendly. DataStudio lacks the flexibility of software like MS PowerBI; it lacks basic scientific graphs like boxplots and control charts and I would not recommend it for scientific data. AppSheet lacks the flexibility of MS PowerApps and is priced per user, making it expensive to scale and greatly reducing the potential use cases.

Almost Perfect!!!

To be honest i have been using google cloud platform for almost 1'year now. Its much easy to maintain and had free 12 month tier offer for any beginners.

Pros

Unlike AWS, Google Cloud Platform is very easy to use. If you are a new user or someone with minimal knowledge about servers and networking then it will be a great place to get started.

Cons

By default they blocked email port. To receive/send from your instances you have to relay on third party platforms. Which is costly and time consuming.

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.

Pros

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.

Cons

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.

The Cloud Platform to build on for any startup.

I have worked at two startups now and both were started on EC2 and transitioning to GCP. The costs are almost 50% less at GCP than EC2 and the support at Google to get started is much greater than the massive AWS. The services and Vms are super easy to use and setup. And if your company is on Gsuite, then user management is great. Will always plan on deploying new programs and projects on GCP for foreseeable future.

Pros

Google Cloud Platform is very easy to get started with compared to other clouds. There is free training videos and courses. The costs are among the lowest of all cloud platforms.

Cons

At the beginning compute resources ran out in datacenters that you were already in and using. Also, sometimes features are depreciated or changed to paying for. There is a few months notice on those but still an inconvenience.