Google Cloud Platform vs. IBM Cloud Bare Metal Servers

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

IBM Cloud Bare Metal servers are best suited if you are looking for an alternative for adding computing resources to your organization's IT domain. The costs of owning and maintaining a physical resource in the organization are far more than renting computing resources on the cloud. The bare-metal servers allow you to utilize the entire server for your organization's requirements.

• 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

• Performance - the servers perform really well, even under stress. We have some long build processes running concurrently, and the server [can] serve other applications without any problems.
• Secure - for the most part, the servers are very secure and IBM provides many tools to help [make] sure the servers stay that way.
• Highly Available - while we have experienced various downtimes and outages with other IBM Cloud offerings, so far, we have not experienced any with [IBM Cloud] Bare Metal Servers.

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

• Firmware upgrades are not always easy to perform and can be required at unusual time intervals at different datacenters.
• No networking monitoring is available.
• Changes on the IBM side can cause an outage, so you MUST plan for redundancy when building out.

Incentivized

Due to cloud computing taking over the market, I have moved to cloud computing. It is so much easier upgrading or downsizing a virtual server on the cloud vs bare metal. I find it way more convenient on cloud computing. The provisioning takes way too long for bare metal servers.

Incentivized

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

Incentivized

Great responsiveness and detailed know-how from the team. Self Explanatory and good resources on the Web to resolve issues. Good communication on issues via email. Good response times on issues which arise and where we have received support from the IBM support team. We believe that IBM is a great Partner to base our IT applications and we believe that a critical infrastructure like a cloud backend will be well served if we continue to base it on IBM.

Incentivized

The implementation of this software took place as we planned. The performance time taken for full functionality was very reliable with positive results. The customer support team was the best team I have ever met in my career experience. They are always with timely responses when reached to offer any help.

Incentivized

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.

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Configured file systems on bare metal servers and was able to increase the size whenever required. Can limit the costs initially to understand the application demand and need. Later, have the flexibility to increase the size of the file system as the application grows bigger and bigger without any hassle.

Incentivized

• 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

• [I feel] IBM caused significant damages to their acknowledged "gross negligence." [...] [In my opinion,] holding customers/data hostage to limit gross negligence is an extremely poor practice.
• [With my experiences,] our investment was a tremendous loss in time & resources. Their lack of support, [in my opinion,] has caused us to pivot our entire business model and revenue stream. Our product re-launch has been setback by ~18 months due to damages caused by [in my experience, to be] IBM's gross negligence.