Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$0
per month
IBM Cloud Object Storage
Score 7.1 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
Amazon Web Services
IBM Cloud Object Storage
Editions & Modules
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
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
Amazon Web Services
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
AWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
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.
In my personal experience, AWS is superior to both GCP and Azure in the majority of usable applications. GCP suffers from the near total misunderstanding of how support system is even supposed to work, and while _some_ services are pretty nifty and well-polished, some are …
AWS stands out in its ability to adapt technology more quickly. All the new features, first adapted by AWS, make it the market leader. The key metrics, such as MTTR, are among the best among all other cloud service providers. The AWS dashboard and analytics features are very …
Amazon Web Services Lambda supports more triggers, richer language/runtime support, and has tighter integrations with Amazon Web Services, as compared to Azure/Google Cloud functions.Amazon Web Services also has better global infrastructure, with 33 regions and 105 availability …
We tried various other cloud providers and features provided by them. Many of the cloud providers have similar features but there are few factors which make Amazon Web Services cloud as preferable choice of our bank are cost, location of Amazon Web Services datacenter where it …
Apart from Amazon Web Services, we use Microsoft Azure in some of our projects. I have some basic experience in Google Cloud Platform (GCP) as well. If given a choice, I would prefer using Amazon Web Services over Azure or GCP. I find provisioning of resources relatively faster …
Amazon Web Services is better among all of them due to its performance, stability, security and navigation. It effectively saves the cost and provides better facilities than the other competitors. It plays great role when it comes to user friendly interface. It also provided …
AWS has the largest market share and most established and over 200 services for diverse needs. AWS has a very power user interface and pay as you go work well that others. AWS has the by far largest network of data centers for low latency and high availability. The regular …
Better global availability and use across industries. AWS has a great ecosystem of experts, developers, solution architects and it helps to get to know them at various AWS events across the world
Amazon Web Services is much more mature than all of the cloud service providers out in the market. It has 300+ services that solve almost all of your cloud problems.
Compared to other providers like Google Cloud Platform(GCP) and Microsoft Azure, [Amazon Web Services] has a wider range of services, which help you easier implement the solution you want. Also, they have been in the market for more years than their competitors. Moreover, they …
Amazon SageMaker is being extensively used by our R&D department for machine learning models development and research purposes. We work in Jupyter notebooks hosted on SageMaker notebook instances rather than notebooks hosted in local machines by doing so most ML algorithms …
I feel AWS usage of services by global clients has been the most compared to Azure or Openshift. AWS service offering's and usage are economical and much more secured. Its has build an ecosystem of providing all the services capabilities under one umbrella . It provides …
The decision was made to go with AWS because of name recognition and familiarity by contractors we hired. I checked out Google Compute Engine a few years ago, and it did have similar option set, however Google in general was behind Amazon's offerings.
Amazon Web Services fits best for all levels of organisations like startup, mid level or enterprise. The services are easy to use and doesn't require a high level of understanding as you can learn via blogs or youtube videos. AWS is Reasonable in cost as the plan is pay as you …
Amazon Web Services is well suited when we have a huge amount of data to store, process, manipulate and get meaningful information out of. It is also suitable when we need very fast data retrieval from the database. They provide a superior product at a fair price which allows …
Both the services are in the field for quite sometime. And the biggest competitor of Amazon Web Services is Microsoft Azure. Though, Azure easily connects with Microsoft services like a jelly, even in AWS its so easy. And the best thing is due to its vast variety community …
Amazon Web Services has a much more seasoned and known set of tools. The learning resources and documentation is much more prevalent and applicable to more scenarios which definitely helps with implementation. Google cloud does offer comparable products, and the user interface …
We evaluated Google Cloud and Azure at the beginning of our cloud journey but at that time, AWS was so far ahead of the other public cloud providers that there was no question about whether or not to go with AWS. They have the broadest catalog of services and their support is …
We have investigated Azure as well, for this specific need it made the most sense to go with [Amazon Web Services], the design was much simpler to get going. We have also used Azure for some of the other deployments that we have done with SaaS systems. These are the two …
Our tech team was comfortable with Amazon Web Services and that is why we started with Amazon Web Services. In the meantime, we searched for other services like Amazon Web Services but it seems that facilities like Elastic Bean and the first year free made us stick to Amazon …
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 …
We are using RDS for the database services. With RDS, we don't have to manage much, as most of the DBA tasks are automated. For development purposes, we are using Kubernetes pods, which makes it easy to deploy applications and scale up as needed. AWS integration with in-house applications is seamless, making it easy to keep a data-sensitive application on-premises while still utilizing AWS services.
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.
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.
I would gladly rely on AWS for any large-scale application deployment. For prototyping and small-scale applications, a more heavily managed environment on top of the 'bare metal' virtual infrastructure, such as Heroku or Elastic Bean Stalk, is probably a more productive approach in most cases
Amazon Web Services is a great tool when it comes to middle size organizations like us. It provides multiple tools and functionalities in low costs. The best feature we have to pay as we go. No financial burden on company for the unused instances. It also comes with greater level of security such as two level authorization such as multi factor authorization.
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.
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
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 customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to immediately search for their compatible software's and also to guide them in a good direction. Moreover, this product is a good suggestion for every type of company because of its affordability and ease of use.
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.
In my personal experience, AWS is superior to both GCP and Azure in the majority of usable applications. GCP suffers from the near total misunderstanding of how support system is even supposed to work, and while _some_ services are pretty nifty and well-polished, some are mindbogglingly designed black boxes with self-conflicting documentation. Some of it comes from having legacy systems, sure, but AWS somehow manages, even having a rather big lead start. Azure, from my limited experience, is limited to people somehow coerced into its usage by external constraints. That being said, IF you can design and implement something there, it will probably run fine.
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
Provisioning resources like large database instances is really quick. We can easily scale our instances up or down as per need.
Storing files in S3 instead of onprem NAS drives is much more economical, especially for the files stored in glacier deep archive for compliance purposes.
Backup snapshots of EBS volumes and RDS instances may increase the cost of cloud if not cleaned up properly.
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.