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
Microsoft Azure
Score 8.5 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
IBM Cloud Object Storage
Microsoft Azure
Editions & Modules
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
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
IBM Cloud Object Storage
Microsoft Azure
Free Trial
No
Yes
Free/Freemium Version
Yes
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
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.
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
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 helps to scale performance greatly. Also, it is easy to learn and is developer-friendly, has high data handling capacity, and is easy to administer.
Amazon S3 service is also a good option, but based on 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 …
Obviously this is just based on the virtualisation part of the product, but VM's in Microsoft Azure are well managable and no need to invest in hardware, which gives it an edge in a time where the need for VM's is getting less and less.
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in …
Mostly due to the ecosystem. I don't think there is anything in AWS that we would be missing out when using Microsoft Azure. We use Microsoft products on on-premise servers and also M365 / Office services that are well supported in Microsoft Azure. The pricing between AWS and …
AWS is good for linux virtual machines and mac virtual machines, Microsoft Azure doesn't do mac VMs. However, in my opinion Microsoft Azure is better in every other aspect, easier to use and just as cost effective.
AWS takes the cake here just due to how simple it is to configure IAM roles, users, and policies. Microsoft Azure is nearly neck-and-neck and could probably overtake them in the near future. Splunk for logging isn't that great and Microsoft Azure does a solid job but they could …
Microsoft Azure is a comprehensive platform that offers almost all functionalities and can provide even more. Due to ongoing extensive developments, additional functionalities are continuously being added and improved. Many new functionalities are also being added that are …
AWS is the most stable cloud options but Azure has done well in last few years and provides good options specifically for Microsoft customers and who are more familiar with Microsoft technologies like WINDOWS, MS SQL SERVER, GITHUB, VISUAL STUDIO etc. Google cloud is more …
Azure is an ideal platform for disaster recovery and backup. It is very flexible because of its site regeneration capabilities and other features. All of our data can be backup, regardless of the language or operating system. Azure’s inherent flexibility comes from its status …
Remote accessibility for the mass people from the different places where both free and premium service is available that's why people choose Microsoft Azure. The main reason of switching from that to Microsoft Azure is the cost of operation and operating flexibility. The …
AWS and Azure are distinct classes, regardless of how we view them or which sub-areas. Their capabilities are the most comprehensive and sophisticated. Azure will benefit existing Microsoft customers, but AWS has a slight market share advantage. Microsoft Azure offers many …
Because Microsoft Azure has more integrations and possibilities. Also most of the biggest companies are using it, so it gives the security and the back up to trust and work with confidence.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" …
We actually utilized multiple cloud stacks, depending upon the customer environment and need. Those that heavily used MS products (Office on-prem or 365), Teams, etc, found it a better fit, with easier integration, for their needs.
I would say that Azure stacks up pretty good and sometimes better in comparison to what Google Cloud Platform has to offer. I don't like GCP for its absurd licensing fees and it's expensive for just Using EC2 Instances. However, DigitalOcean and AWS can offer far better …
The most common alternatives are Amazon Web Services and Google Cloud Platform. AWS is known for its non-existent customer support and abysmal documentation - Azure is clearly better on both fronts. Google Cloud Platform is a solid product, but in my experience Azure Functions …
Integration with other Microsoft products makes Azure stand out quite a bit. However, if you need to use open source software and to integrate with Linux systems then AWS or Google Cloud might be better alternatives. Google did not even come close to Azure in terms of …
Evaluated both AWS and GCP for a similar set of use cases to realize that AWS required additional third-party add ons to be purchased for load balancing vs. Azure's out-of-the-box capabilities offered for free. GCP on the surface was lower cost but the cost of running …
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.
Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
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.
Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.
We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.
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
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
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.
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
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.
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
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.
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.
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
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.
Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.