Virtual Machines (VMs) are available on Microsoft Azure, providing what is built as a low-cost, per-second compute service, available via Windows or Linux.
$0
Per Hour
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
Azure Virtual Machines
IBM Cloud Object Storage
Editions & Modules
3 Year Reserved - Burstable VMs - B1S
$0.0038
Per Hour
Spot - General Purpose - Av2
$0.005
Per Hour
1 Year Reserved - Burstable VMs - B1S
$0.0059
Per Hour
Pay as You Go - Burstable VMs - B1S
$0.0075
Per Hour
Spot - Compute Optimized - Fsv2
$0.0104
Per Hour
Spot - General Purpose - Dv3
$0.0125
Per Hour
Spot - Memory Optimized - Ev3
$0.016
Per Hour
3 Year Reserved - Compute Optimized - Fsv2
$0.0307
Per Hour
3 Year Reserved - General Purpose - Dv3
$0.0369
Per Hour
3 Year Reserved - Memory Optimized - Ev3
$0.0481
Per Hour
1 Year Reserved - Compute Optimized - Fsv2
$0.05
Per Hour
1 Year Reserved - General Purpose - Dv3
$0.0548
Per Hour
1 Year Reserved - Memory Optimized - Ev3
$0.0753
Per Hour
Pay as You Go - Compute Optimized - Fsv2
$0.0846
Per Hour
Pay as You Go - General Purpose - Dv3
$0.096
Per Hour
Pay as You Go - Memory Optimized - Ev3
$0.126
Per 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
Azure Virtual Machines
IBM Cloud Object Storage
Free Trial
No
No
Free/Freemium Version
No
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
Azure Virtual Machines
IBM Cloud Object Storage
Considered Both Products
Azure Virtual Machines
No answer on this topic
IBM Cloud Object Storage
Verified User
Director
Chose IBM Cloud Object Storage
Better price consistency, performance and flexibility.
If you want to host a dedicated Windows server on the cloud, and especially if you want to integrate it with your on premises Active Directory, Azure Virtual Machines should be your first choice. Obviously running Linux on Azure works very well too, but given Azure's pricing is not the cheapest, there are other providers out there that have a better cost-benefit ratio for Linux. That said, hosting Windows on Azure can be affordable (especially when compared to other providers) if you plan your licensing, topology, and application architecture correctly.
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.
When demand is high, we scale the service out, eg During a Football Match.
When a football match is over and the throughput of data from OPTA drops we save by the service scaling back in.
Our App Service Plans along with the Clean C# code are lightening fast giving a good customer experience.
When producing the TV Guide information and a program overruns its scheduled time, a client can instantly be updated to the new programming schedule as our change is instant and its in the right place for all the clients to download and adjust their television guides appropriately to send out to the public giving a 24x7 uptime service that is precise and accurate and resilient to outages due to failover zones around the world.
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.
Pricing can be a concern if you are truly agnostic to which cloud you are building your particular solution in.
The UI, as is the case with any cloud provider, is crowded.
As with any cloud provider, it can be difficult to tune in exactly the right amount of servers for your needs...you might find yourself under/overprovisioning.
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.
No VM console, weak management interface, changing CPU/memory is not straightforward. On the positive side, basic RDP functionality is good to have. As long as things are working, the ability to host Windows VMs is appreciated.
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 give the overall support for Azure Virtual Machines a 7 because I think while the overall support do a great job there are still areas that it could improve on such as efficiency and speed. So while I only give it a 7 and it has some issues it is still better than the overall support at Amazon EC2 Auto Scaling.
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
Azure Virtual Machines offer unparalleled flexibility in provisioning, managing and upgrading the VM instances, both manually and programmatically. AVM offer very granular billing options and enables high costs optimisations (while still being costly). The other competitors I mentioned are very good at offering dead-cheap VMs. But if you need anything beyond that, especially for big computing, you need Azure Virtual Machines.
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
It's so easy to spin up new instances, that it becomes also to easy to have to many of them to manage. Many teams end up with a couple of hundreds of VMs after a short while, making the whole thing very hard to maneuver
Azure VMs are the next step for us to rely on Onprem servers, and leaving the management of the infrastructure to the professionals
The ease of use, is also important when our main focus is to deliver new applications and integrations fast, and not having to worry about infrastructure. We sell bottles, not CPUs
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.
