Google Cloud Platform vs. Microsoft Azure

For how it helps our team with data storage and connecting to GA4 as a backup option, and the incredibly low cost for us to use it and reliably back up our data, I would highly recommend using this tool for all of your cloud storage needs. It's easy to use and their customer service is always responsive and easy to get a hold of.

Incentivized

Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.

Incentivized

• Google Cloud Platform provide the autoscale workload when the workload need to scale up or down
• Great pay-as-you-go pricing model and dashboard report of pricing that help user monitor and optimize the cost
• Using simpler than other cloud provider

• Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
• Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
• BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
• Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.

Incentivized

• The Logs Explorer is quite hard to dig into and find logs of interest
• BigQuery transparency for BigLake vs External tables isn't the best
• Google Group management for permissions can get hairy.

Incentivized

• In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
• Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
• Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.

Incentivized

We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.

Incentivized

I've found it incredibly easy to use since day one of deployment.

Incentivized

Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"

Incentivized

It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators

Incentivized

Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.

Incentivized

As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.

I feel GCS buckets are pretty interchangeable with Amazon S3 as far as I have typically used them. It just depends on who or your company wants to give money to. I have liked the Google Cloud Platform BigQuery console better than the interface for Snowflake, but that may be due to familiarity and the proportion of time I've used Google Cloud Platform over Snowflake.

Incentivized

I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.

• Approx 30% cost savings after moving from on-prem to GCP due to reduced hardware, maintenance of DC support, and energy costs.
• There are much faster release cycles due to CI/CD pipelines with cloud build and scalable infrastructure using GKE. It works very nicely.
• We use BigQuery a lot, and what used to take hours now takes minutes, speeding up business decisions across teams. Clients.

Incentivized

• Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
• In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
• Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.