Google Cloud

What differentiates Google Cloud from other similar products?

First of all, google cloud has the artificial intelligence included built in most of the categories so we can effectively leverage the power of artificial intelligence. Apart from that it is very safe and reliable and scales pretty well with load. It is also cost effective compared to most of its peers.

What is your favorite aspect of this product?

My favorite aspect of the product is its cloud compute solution because it is very cheap and reliable. It also has the multiple options for storage problem and provides us the tailor made setup depending upon our requirement. It has the cheap file storage which we use on daily basis to store the important data.

What do you dislike most about this product?

The only dislike I have about google cloud is their customer support. Sometimes it is difficult to reach out to the customer care and it takes lot of time to get our problem resolved. May be they can speed up the support life cycle bit more.

What recommendations would you give to someone considering this product?

I would definitely recommend anyone willing to purchase google cloud because it provides value more than the price we paid. You get the complete google ecosystem with artificial intelligence embedded into it. On top of that it is very secure and reliable. So the chances of outage is very less compared to its peers. The pricing is also very economic and affordable.

What differentiates Google Cloud from other similar products?

BigQuery: Google’s serverless, fully-managed data warehouse is industry-leading for real-time analytics at petabyte scale.Vertex AI: A unified ML platform that makes it easier to train, deploy, and manage ML models — with deep integration to Google's AI research (e.g., TensorFlow, PaLM models).Kubernetes: Originally developed by Google, and GCP’s GKE (Google Kubernetes Engine) is widely considered the most mature managed Kubernetes service.

What is your favorite aspect of this product?

BigQuery drastically lowers the barrier to big data analytics. You can query billions of rows in seconds using just standard SQL — no tuning, no clusters, no operations overhead and GKE is another favorite for DevOps teams due to: Smooth auto-scaling Easy cluster management Native Kubernetes features often arrive on GKE first

What do you dislike most about this product?

Support experience can be inconsistent Especially in certain regions, customers report that customer support and account management can feel less responsive

What recommendations would you give to someone considering this product?

GCP billing can be confusing at first, especially with services like BigQuery where costs are usage-based (per TB scanned).GCP’s Identity & Access Management (IAM) model is powerful but nuanced:Learn how projects, folders, and organizations work.Use custom roles for least privilege.Audit roles and permissions regularly.GCP has a steeper learning curve than some competitors, but Google Cloud Skills Boost, Qwiklabs, and certification programs (e.g., Associate Cloud Engineer, Professional Cloud Architect) are high quality and widely respected.

What differentiates Google Cloud from other similar products?

Google Cloud stands out for its strong data analytics, seamless AI integration and reliable performance across services. It’s built with scalability and developer ease in mind which makes it great for modern workloads.

What is your favorite aspect of this product?

I really like how easy it is to integrate AI and ML tools directly within the platform. The interface feels smooth and efficient which saves a lot of setup time.

What do you dislike most about this product?

Some features can be overwhelming for new users and documentation could be simpler in certain areas. Pricing can also get tricky without proper monitoring.

What recommendations would you give to someone considering this product?

Start with smaller projects to understand how billing and scaling work. Take advantage of the free credits and learning resources before going all in with production workloads.