Google Compute Engine is an infrastructure-as-a-service (IaaS) product from Google Cloud. It provides virtual machines with carbon-neutral infrastructure which run on the same data centers that Google itself uses.
$0.01
Hour
IBM Cloud Bare Metal Servers
Score 8.7 out of 10
N/A
IBM Cloud bare metal servers are cloud servers configurable in hourly/monthly options, on-demand, from any location—with a selection of standard features and services for small businesses and enterprise demands. Users can customize RAM and SSDs with 11M+ configurations from which to choose.
$0.51
per hour
Pricing
Google Compute Engine
IBM Cloud Bare Metal Servers
Editions & Modules
Preemptible Price - Predefined Memory
0.000892 / GB
Hour
Three-year commitment price - Predefined Memory
$0.001907 / GB
Hour
One-year commitment price - Predefined Memory
$0.002669 / GB
Hour
On-demand price - Predefined Memory
$0.004237 / GB
Hour
Preemptible Price - Predefined vCPUs
0.006655 / vCPU
Hour
Three-year commitment price - Predefined vCPUS
$0.014225 / CPU
Hour
One-year commitment price - Predefined vCPUS
$0.019915 / vCPU
Hour
On-demand price - Predefined vCPUS
$0.031611 / vCPU
Hour
IBM Cloud Bare Metal Servers
starting at $0.51
per hour
IBM Cloud Bare Metal Servers
starting at $241.00
per month
Offerings
Pricing Offerings
Google Compute Engine
IBM Cloud Bare Metal Servers
Free Trial
Yes
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
Prices vary according to region (i.e US central, east, & west time zones). Google Compute Engine also offers a discounted rate for a 1 & 3 year commitment.
IBM Bare Metal Servers offer a choice between hourly or monthly pre-configured servers or can be customized with single to quad processing solutions. Bare metal servers are available worldwide and with no monthly contracts. Amonthly bare metal server built to spec can be ordered and made available in two to four hours—with 500 GB/month outbound bandwidth included. An hourly bare metal server can be ordered, and it is made ready for in 20 to 30 minutes. Public outbound bandwidth is charged per gigabyte.
More Pricing Information
Community Pulse
Google Compute Engine
IBM Cloud Bare Metal Servers
Considered Both Products
Google Compute Engine
Verified User
Anonymous
Chose Google Compute Engine
Cloud providers offering virtual machines are quite common. I think, Google, however, is arguably one of the top players in the market, with some of the largest (if not the largest) and most advanced server farms in the world. If you're looking for reliability and cost …
The perfect blend of setup flexibility, costing and trust of Google could be my answer to the comparison. This being a server backed service so, ruling out the functions. The Setup flexibility and speed set the GCE apart from Kubernetes. Compliance, regulation and the security …
We have tried using DigitalOcean droplets for some of our minor and non critical VMs. In our experience, Google Compute Engine fares well in comparison the DigitalOcean droplets as they provide better availability, better support and in general, a better experience.
As far as user-friendliness is concerned, I personally rank Google Cloud above both AWS and Azure. Their user interface makes it easy to manage, which is important.
I find Google Compute Engine to be much easier to use than Amazon's EC2 service. The console makes much more sense, permission management is much cleaner, and I'd say the other categories feel on par with EC2: performance, how fine-grained the settings are, connecting to …
The obvious and natural alternatives to GCE are AWS EC2 and Azure VMs. I would say all three are more similar than not. Picking one will most likely depend on what platform you're on already, where your running services are, and which one is more familiar to your team.
When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an …
The Google Cloud computing engine is fair at the top because it bills customers, automatic discounting for extended use, and how fast it can be turned on. We enjoy things around setting it up very easily via APIs and CLI commands, and with the always-on recommendations from …
I have utilised Google Compute Engine in addition to Amazon EC2. Both exhibit excellent performance in terms of consumption, speed, and efficiency.My decision to adopt Google Compute Engine was solely based on how user-friendly it is. more basic UI/UX than EC2.Google's customer …
Google Compute Engine provides on-demand computing resources that are easy to scale up or down according to my organization needs. This allows our business to quickly adapt to changes in demand without having to invest in additional hardware. It also offers a very competitive …
While Amazon EC2 is the best tool for developers to build an app and make it live, It has some downsides too. EC2 requires so much development while Google Compute Engine makes it easy to build an app within a days. EC2 pricing also relatively high compare to Google Compute …
GCE is available in 3 different regions whereas Ec2 is available in 11 different regions. The compute resources offered by the GCE has lower maximum capacity compared to AWS Ec2. The pricing model of GCE offers first 10 mins free and then charging in increments of 10 mins. Both …
I prefer the Compute Engine Over these as it provides us with Better Scalability, Performance, and Reliability Security-related Issues don't arise with the Compute Engine, but yes, in terms of accessing or running, it can be improved a bit as compared to EC2 offered by AWS.
the main reason of choosing GCE is availability and user friendly UI with a very good documentation and API explanations. Great visibility over the infra and security.
The features specific to Google Compute Engine vs Amazon EC2 along with cost and availability are comparable, there may be other services within the vendor which may mean that one is more suitable for specific applications than the other one. We have used both for different …
Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine learning for ease of usability.
It's always good to have an eco-system of products from Google as it's one of the most used search engine and …
AWS has become the de facto standard. Skills in Google Compute Engine and AWS are not easily transferable. Still, after getting to know Google Compute Engine well, productivity can be very high and ROI impressive. There are many additional services offered around Google Compute …
IBM Cloud Virtual Private Cloud features are easy on customizing and the capability to manage all project data types is effective. Creating reliable reports and secure data transfer through Cloud service is amazing. The product Automation tools are stable, capacity planning …
IBM Cloud Bare Metal Servers is more effective and the capabilities for networking and servers performance management is more productive. Through IBM Cloud Bare Metal Servers tools the multiple project data management and data transfer across entire Cloud service is more secure …
Well As we use other IBM Cloud services it is easier for us to implement the services from the same and easier and also implementing VPC, we have found it to be highly secure and cost-effective also.
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 …
The Best part of this IBM Cloud Bare Metal Servers is performance and a very highly usable part is Security stuff. everyone needs to secure their data and work with a smoothly running app. for this reason I select this server rather than another one. I will use it in feature …
I considered AWS EC2, but found the difference in operating costs compared to IBM Cloud Bare Metal Servers to be too great. It is the data transfer fee.AWS EC2: 0 cost for upload, pay-as-you-go for download IBMCloud Bare Metarl Servers: no cost for both upload and downloadIn …
In fact, we have the same functionality on both. Brazil Azure and AWS had started offering those options before IBM, so IBM was [at a] disadvantage, now both are tied.
IBM brings the full suite, and coupled with Bare Metal, developing within the IBM / Softlayer SDK's and keeping smtp mail delivery, CDN, data block/object storage all from one place is simple. We were also evaluating DNS via Cloudflare before we departed IBM Cloud services.
IBM Cloud Bare Metal Servers is in every case better compared to the next seller items that are accessible in the market. This item gives us quick execution with bunches of safety and different highlights. No vacation and incredible specialized help are benefits of this item.
We had considered AWS EC2. They offer similar functions we require. But we feel IBM is better due to the version changes that they implement and the security features.
I would say that they are comparable in alot of ways and work about the same. Most cloud vendors today don't have alot of differentiations for the tasks that I perform on a daily basis.
AWS and Google are also providing very similar solutions but when we take a closer look at our needs and the pricing model each of the providers have, it is quite obvious for us to choose IBM.
We vetted various competitors of IBM to gain better insight into our purchases. Again, this for most part depends on your organization, but IBM's advanced analytics platform is on par with most of the bigger platforms. They have developments that ease the speed of development …
I selected IBM Cloud Virtual Private Cloud (VPC) because of 5 points that I thought and was proven correct based on my experience using the service. First is security which I strongly talked about all throughout my review. Secondly is agility. The third is Isolation. Fourth is …
The AWS Bare Metal is a non-starter. $5000 for a "weaker" server than IBM offers and way, way, more configuration. GCP is still on-boarding their bare-metal solutions. The other places, such as digital ocean or rackspace tend to be pricier and you get less power. The only other …
It is excellent if you have any workloads that need raw computing or plan to have any state-full services running in your environment like DBs (for which you don't want to use Managed services), cache, etc. It also gives you complete control over which versions of software, OS, etc., you need, and thus, you can build anything and deploy it on GCE.
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.
A simple web-based interface that is a breeze to train new engineers to use. Our experienced engineers never have trouble finding or doing anything on GCE.
Sustained use and Committed use discounts mean we get top-tier VMs for an incredibly competitive price.
Wonderful identity and access management that gives us peace-of-mind when granting access to machines to contractors and other 3rd parties.
Fast VMs, lastest in hardware, and enough RAM to power even the hungriest of our services.
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.
The L7 load balancer can be difficult to get set up. It's limited in its functionality, especially with the container engine.
It's hard to find certain objects on the web console. Often times the things I need to get to are buried in advanced menus.
Google's decision to only support MySQL on their relational DB service means that I have to manage Postgres instances in Compute on my own, managing everything from storage to backups.
Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.
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.
Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.
Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes
The raw computer power is excellent; our applications feel snappy, pages load almos instantly for our customers and so on. The primary reason it is not a perfect 10 is that the native tools for monitoring individual VM performance can be complex, making it challenging to easily diagnose specific resource bottlenecks without significant configuration
The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
Google support was great and their presence on site was very helpful in dealing with various issues.
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.
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.
When configuring Amazon ECS, it is a bit confusing as you are not able to find the actual issue. You need to enable Additional AppInsights to get detailed level info, which is not a concern when configuring on the Instance Level. Moreover, Azure VM does not provide an in-browser option; instead, it is Azure Bastion, but for that, you have to enable a dedicated subnet, which is a bit unnecessary.
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.
Scalability means flexibility and less upfront costs
Can become expensive when hard set compute requirements are clear, but things like Spot VMs can help here too, or just having your own infrastructure and scaling up with Google. This is for more advanced cases though
Ramp up time is long, but after that it is quick to do many things and ROI is awesome
[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.