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 Object Storage
Score 9.4 out of 10
N/A
IBM Cloud Object Storage is an IBM Cloud product in the endpoint backup and IaaS categories. It is commonly used for data archiving and backup, for web and mobile applications, and as scalable, persistent storage for analytics.
$5,000,000,000
per month
Pricing
Google Compute Engine
IBM Cloud Object Storage
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
One-Rate Plan
As low as USD $12/TB a month
per month
Standard Plan
Free up to 5GB—no minimum fee, pay only for what you use
per month
Offerings
Pricing Offerings
Google Compute Engine
IBM Cloud Object Storage
Free Trial
Yes
No
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.
The One-Rate and Standard service plans for Cloud Object Storage include resiliency options, flexible data classes and built-in security. Pricing is based on the choice of location, storage class and resiliency choice.
More Pricing Information
Community Pulse
Google Compute Engine
IBM Cloud Object Storage
Considered Both Products
Google Compute Engine
Verified User
Anonymous
Chose Google Compute Engine
Rather than saying GCE is better. I would say that depends on the business and technical requirements it might fit better than others. There is no silver bullet.
I actually prefer Azure's UI over Google Compute Engine's , but Google Compute Engine's pricings are way more competitive, which makes it the go-to choice for infrastracture low budget companies such as ours, since our core business is not IT or software development related
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 …
We compared IBM Cloud Object Storage with Amazon S3 and chose IBM mainly because of its better cost control across regions, smooth integration with our existing IBM tools, and strong built-in security.
Mostly cost because most of them deliver a similar product and the decision for a hyperscaler (when you do not plan to use Multi Cloud) was not solely based on the object storage offering. Moreover, other components as K8s/Postgres and the overall picture inclunding consulting …
As Google Cloud Storage is our main product for this kind of thing, it remains the standard but in terms of overall performance, flexibility, stability, durability, and scalability, IBM Cloud Object Storage has put it through its paces. I think having a product put Google …
Amazon S3 has a more complex pricing model. It charges as per the requests, which will be more costly for us compared to IBM cloud object storage. The safety of our data is the main focus, and this is guaranteed with IBM.
Along with IBM Watson for AI and machine learning, IBM Aspera for fast data transport, and IBM Cloud SQL Query for data analysis, IBM Cloud Object Storage works seamlessly with other IBM Cloud services. For research initiatives that call for a variety of tools and services, …
We selected IBM Cloud Object Storage against S3 for following reasons:1. 1. We already use a lot of IBM's cloud services, IBM Cloud Object Storage would have been easier to manage. 2. It is really cost effective with the features it brings in.
Amazon S3 is a great service to safely back up your data where redundancy is guaranteed, and the cost is fair. In the past I have used Amazon S3 for data that we backup and hope we never need to access, but in the case of a catastrophic or even small slip of the finger with the …
As far as the other cloud storage services are concerned, I have limited experience. I used pleased by IBM cloud storage because it provided a smooth, running environment for my data science projects. I used IBM Watson Studio and the experience was smooth. I used IBM Db2, and …
IBM Cloud Object Storage is a product that gives us greater scalability, and important security features such as WORM, in addition to Simplicity and Enhanced file access
At the end of the day it is an IBM product that gives us a guarantee of being very robust, it is very safe, and reliable, and it also allows flexibility.
The previous cloud OSS platform that we used was provided by Google. Functionality in OSS is restricted in several ways. The setup and configuration steps are complicated, making the software difficult to operate. We had no problems at all during our time at IBM. Buckets may be …
Previously, we were a user of alibaba cloud OSS. There are some limitations on OSS features. Also, not easy to use due to some complex configurations and setup processes. We didn't face any difficulties here in IBM. Easy configuration and management of buckets can be done with …
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 Object Storage is well suited for businesses that require scalable and cost-effective data storage solutions. It excels in scenarios involving massive unstructured data, like multimedia content, backups, and archives. However, it may be less appropriate for organizations with minimal storage needs or those requiring high-performance, low-latency access to data, as it's optimized for durability and data integrity rather than real-time data retrieval.
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.
Cloud storage allows you to save data and files in an off-site location that you access either through the public internet or a dedicated private network connection.
Cloud storage delivers a cost-effective, scalable alternative to storing files on on-premise hard drives or storage networks.
Cloud storage services provide elasticity, which means you can scale capacity as your data volumes increase or dial down capacity if necessary.
Business continuity of Storing data offsite supports business continuity in the event that a natural disaster or terrorist attack cuts access to your premises.
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.
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.
For my use cases, it has been a very smooth experience. Even my new colleagues have been able to get on top of things very quickly. This shows how easy it is to work with
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
We rarely face downtime or access issues with IBM Cloud Object Storage. It’s mostly available when we need it, even during peak hours or heavy data loads.
Google Compute Engine usually delivers good and predictable performance for our self-hosted stack of applications. However, when running n8n heavy workflows, even with a tunned instance configuration in docker, performance usually peaks usually due to memory usage. We often need to upgrade memory when we have heavier data processing and workflows. Other than that, in a normal usage, we don't really have any problems
I would give it a 9 because it works smooth with our AI and analytics tools, no major slowdown. Pages and dashboards load fine most of the time, and reports finish in decent time even when data is heavy.
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.
I have been working in IT sector for more than 15 years. I have worked with various vendors. IBM's sales team, support team have been really helpful. After we start to use their product, their UX design team also contacted us to get feedback from us. They are really interested about our experience.
I just researching and applying the tools on their platforms to ensure a good learning path, based on my needs. Reading the documentation related with resources, tools. Is too big, but I am trying to know more about it every day. It is a good way to know more about their resources. A new way to attract new customers. At the end of the day, we are all involved in improvement and automation of our tasks and resources for customers and end-users.
IBM's professional service for migrating data and implementing new cloud environment was perfect. They started to help us before we begin to bring together all data such as how can it could be best to transfer all data without problems. During the migration they watched all the process closely to prevent any failure. Lastly, after the migration, they gave us trainings on implementation.
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.
As Google Cloud Storage is our main product for this kind of thing, it remains the standard but in terms of overall performance, flexibility, stability, durability, and scalability, IBM Cloud Object Storage has put it through its paces. I think having a product put Google through its paces is always a good thing, both for businesses and for the industry overall.
Scaling up the number of users can lead to significant increases in licensing costs, which, while not a technical limitation, can be a practical constraint for some organizations
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
In our company, we moved from on-premise to IBM cloud, our ElasticSearch Solution storage in block storage to an ICD elastic search solution with Object storage, and we reduced our cost by more than 45%.
Object Storage is a managed service, so you can have savings in your storage-managed team.
We have improved our data availability because the Regional solution of COS is distributed in three different Availability Zones.