Google Cloud Virtual Private Cloud has a network of 27 regions and 200+ countries and territories, boasting little to no downtime for its users. It is automatically configured or can be done by the user and allows you to bring your own IP addresses to reduce downtime caused by migration.
$0
per ingress traffic
IBM Cloud Object Storage
Score 9.3 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.
$0
per month
Pricing
Google Cloud Virtual Private Cloud (VPC)
IBM Cloud Object Storage
Editions & Modules
egress traffic
$0 - 0.15
per GB
ingress traffic
$0
based on services that process ingress traffic: Load Balancers, Cloud NAT, Protocol forwarding.
Premium Tier (egress rates)
$0- $0.23
per month per GB of data delivered
Standard Tier (egress rates)
$0.045, $0.065, $0.085
per month per GB of data delivered: 150-500TB, 10-150TB, 0-10TB
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 Cloud Virtual Private Cloud (VPC)
IBM Cloud Object Storage
Free Trial
Yes
No
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
—
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 Cloud Virtual Private Cloud (VPC)
IBM Cloud Object Storage
Features
Google Cloud Virtual Private Cloud (VPC)
IBM Cloud Object Storage
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
An effective pricing strategy is in place. Google Cloud VPC is the most secure since it runs on a private network and never contacts the public network. Google is well-known for its AI/ML and Kubernetes engines, both of which have a leg up on the competition. Google Cloud VPC's database services are yet to be improved.
In my experience, IBM Cloud Object Storage is well suited for projects like the one I am working on. This includes the use of natural language classification and the uploading of data to train a machine learning model for tag suggestions based on a body of text. Using IBM Cloud Object Storage has helped with this greatly. IBM Cloud Object Storage has also been great for Big Data Analytics thanks to its scalablilty and ease of use for large datasets. Alongside IBM Watson and our team's internal big data tools we've managed to process and analyze data more efficiently, leading to key insights that have driven business value for our clients.
IBM Cloud Object Storage is an excellent choice for disaster recovery and backup solutions. Its high durability and geographic redundancy ensure that our backup data is safe and can be quickly restored in case of a disaster. This capability is crucial for maintaining our business continuity and minimizing downtime. We have deployed our loads in an IKS cluster distributed in 3 different AZs with stateful data allocated in COS.
We have a video streaming application and need to store and deliver a vast library of video content to millions of users worldwide, so we store our data in COS, which is cheap and reliable.
We have a bunch of data that must be analyzed and stored in datasets for fraud detection, risk management, and customer insights. In these cases, this data is moved from Onprem to IBM Cloud so we can use cheap storage like COS.
Searching and retrieving—full-text search or metadata search—is one of the significant areas of improvement. It isn't easy to search for data with this.
Integration with other IBM cloud services is trickier. For example, integrating this with API Connect to access the data from API will be difficult for users.
Support - I think you should have more support community.
VPC is a difficult concept to grasp and recommendations for configuring it would be helpful in educating the users to make the right choice while using the product in configuring networking for their cloud deployments. Also, the user interface can be intuitively designed so as to suggest templates to perform common configurations with regard to VPC.
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
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.
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.
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.
Yes Our organization used IBM professional services to implement IBM object storage because of its data consistency and multiple way to upload and download data and its encryption security features. Also that its brand matter for the any organization to secure the layer and storage. It sis also verify that application and system are compatibale for this product
Google VPC and networking infrastructure is very matured and is built later after Amazon VPC. It made sure to address all the limitations faced by amazon VPC. Google Virtual private cloud is across regions while amazon VPC covers only one region but multiple zones. Google VPC is a global resource while AWS is a regional resource.
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 delete command, we know our data and our client's data is safely backed up by Amazon S3. Amazon S3 service is a good option, but based on the features it provides compared with IBM Cloud Object Storage, it is less suitable. IBM Cloud Object Storage is also integrated with more services, like IBM Cloud SQL and IBM Aspera, which AWS does not provide to transfer files at maximum speed in the world.
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
This allows us to recommend a platform to our clients that will quickly help them create new, efficient business processes with very little development.
This saves clients hours and days of manual analysis of images, allowing the system to do the work when attaching Object Storage to models.
There is a learning curve in utilizing the storage and the modeling, but once up and running, it works well during deployment.
