IBM Cloud Object Storage Professional, Scientific, and Technical Services Reviews & Insights

I recommend IBM Cloud Object Storage to my clients who are looking for a safe, secure and efficient resource to move unused data from the mainframe to the cloud.

Hospitals may need to hold onto the medical records of patients that have passed. Instead of clogging up your tape storage, the cloud gives an option to keep data, but hold space for it in another area, with option to recall if needed.

We save backups for our customers with IBM Power systems using native and 3er party tools.
We have built our own tool to take backups from IBM I Operating System securily and compressing data.

IBM Cloud Object Storage is an amazing tool for backups, cloud migrations, and data retention

We used IBM Cloud Object Storage to store all of the data from the actual production, including videos, images, and various types of sensing data from equipment in the actual factory in Thailand.We deployed over 100 cameras and sensors in the factory, storing the data in IBM Cloud Object Storage via the internet, and allowing the results to be retrieved and accessed from anywhere in the world.The biggest challenge is how to create a scalable system at a reasonable cost, since the data volume will be small in the initial stage and we know that the data volume will continue to increase every month. in the end, the data volume was about 150TB, but the cost did not hit our business operations.

As far as I can tell, it has better cost performance than any other cloud.This is a particularly promising service candidate for actual data accumulation, which requires the continuous retention of large amounts of data.　Another attractive feature is that it can be used without using other services to guarantee security and performance.

IBM Cloud Object Storage is mainly used to store client data objects for analysis, because it's been helpful for both small testing projects and large-scale storage needs.

It is reliable for both business and research use. The performance and options it gives are also really hard to beat, so I’ll recommend it.

It is being used by me as I test its capabilities. I use it as part of IBM Watson's Natural Language Classifier product to aid the company's marketing. I am championing the use of Python within the business and using things like NLC and NLP is facilitating those actions. Once I have a better understanding of the product, I will likely roll out features to colleagues. I would say that IBM Cloud Object Storage has become crucial for my data management needs, helping me address scalability and durability, and various other data-related challenges while providing a flexible foundation for my team's digital transformation efforts.

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.

I am using IBM Cloud Object Storage in my organization for data archiving and backup. The product has been great for addressing our business problem of managing large amounts of data in a cost-effective and secure manner. The scalability of the service has been particularly impressive, as we have been able to easily adjust our storage needs as our business has grown. The user interface is easy to navigate and the integration with other IBM Cloud services has been seamless. We have also been impressed with the level of customer support provided by IBM. One of the key features we use is the data archiving feature, which has been a huge benefit for us as we needed to store large amounts of data that we don't need to access frequently, but still need to keep it available in case of an audit or legal request. The scope of our use case has been primarily for data archiving and backup, but I can see how it could be used for other purposes such as large-scale data analytics. Overall, we are very satisfied with IBM Cloud Object Storage and would highly recommend it to other organizations.

Scenarios where IBM Cloud Object Storage is well suited: Data archiving: IBM Cloud Object Storage is well suited for storing large amounts of data that is infrequently accessed, but still needs to be kept available for compliance or regulatory requirements. Backup and Disaster Recovery: The service can be used as a target storage for backup and disaster recovery solutions, providing a secure and scalable location to store and recover data. Large-scale Data Analytics: The service can be used to store and process large amounts of data for analytics and data science use cases. The data can be easily accessed and analyzed using IBM Watson Studio or other analytics tools.

The IBM Cloud Object Storage allows me to scale the services I provide into the cloud. The cloud has allowed me to secure my data by managing certain permissions to ensure that my data is managed in a need-to-know zero-trust environment, but it also allows me to conveniently share my data and services with those I want to send them to.

IBM's cloud object storage is very well-suited to be a database for big projects in big organizations. Important documents, files, images, or anything the organization needs to move to either make space or organize. The IBM cloud object storage is also well suited for this use, for it is very secure. The organization can rest assured that its data and files are safe within the IBM Cloud object storage.

IBM Cloud Object Storage provides great space for AI/Machine Learning projects. It is smooth and user-friendly. I used IBM cloud storage for my Coursera professional data science courses. I will like to keep on using it for my future professional projects. I encountered no problem in using IBM Cloud Storage.

I like it for my third-party integration. I connected my projects to my GitHub account. IBM Cloud Storage IDE is really amazing. I loved the free lite plan. You can manage your own storage in the IBM Cloud Storage. You can create new assets and upload them on your GitHub directly.

I construct and deploy my solutions with IBM Cloud Object Storage. It is a great privilege of mine to play a role in IBM's ecosystem as a partner and business associate of the company. My IBM business is fully digitalized, and I provide my services via the cloud because of the company's innovative usage of hybrid infrastructures. Hybrid solutions help me get more done faster and bring my business up to date. IBM's user-friendly programs and top-tier answers are two of the many reasons why the company's tech is so well-liked.

I recommend this service for creating and growing a wide range of solutions, from the simplest to the most complicated ones. Even in a very competitive market for professional services, the central and distinctive techniques that gather the most reliable solutions and suppliers in one location may be enough to meet demand. In a single location, I can meet all of my technology needs and get access to superior assistance.

1. We use it to store the data in different buckets and retrieve it on demand and update it.
2. External APIs put the data and keep watching for the bucket's contents if they have populated/created/ updated and remain in that state for some steady state.
3. Certain APIs upload the data into buckets which get utilized by third-party APIs.

Well suited: Atomicity is the best place. Until the file is fully uploaded, it does not show up, which reduces the chance of reading it by accident which results in partial data being uploaded.
Less Appropriate: Does not support regex.