TrustRadius Insights for IBM Cloud Object Storage are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
Ease of Use: Reviewers consistently praise the platform's clean and user-friendly interface, facilitating easy navigation and glitch-free operation. The clarity of the dashboard layout has been commended for its ease of use and customization options, enhancing the overall user experience.
Scalability: Users appreciate the system's scalability, noting its efficiency in handling larger workloads. Multiple reviews highlight the platform's robust nature, providing a reliable and stable environment for various tasks.
Security Features: Customers value the security features of the platform that ensure data safety and protection. The high level of security provided has been positively highlighted as a key benefit by reviewers, contributing to a sense of trust and reliability in utilizing the platform.
With two years of experience in a corporate office, I have send the IBM Cloud Object Storage playing a imp role in our organization's data management policy. We use it to Archive imp documents and compliance records as well as for backups. Reliable and secure.
Pros
Data backup and management
Archiving and secure storage for documents and multimedia
Cost effective solution
Cons
Real-time analytics would be really a great addition
Better UI and dashboard
Likelihood to Recommend
Very well suited for an organisation looking for a cost effective and secure solution for data management.
Our organization primarily uses IBM Cloud Object Storage to complement our extensive use of IBM Cloud Block Storage, which is heavily utilized for virtual machines and high-load Oracle and TSM databases. IBM Cloud Object Storage addresses several critical business problems and enhances our data management strategy. The main scope of our Object Storage is to allocate data from web applications and IKS clusters.
Pros
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.
Cons
Object Storage is not as fast as other Storage Solutions.
There is no backup option in Object Storage, only a snapshot.
Monitoring can be improved by, for instance, adding more granularity when you consult data occupancy.
Likelihood to Recommend
Well-suited: Big data applications with much data at a reduced cost. Stateful data in web applications Volatile and nonproduction data Less appropriate: Applications where you need a fast data response. Core aplications like databases o bussines aplications.
VU
Verified User
Director in Information Technology (1001-5000 employees)
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.
Pros
It allows you to store lots of data
It's easy to use
It's cost effective
It's great for archiving and backups
It's scalable
It's durable
Cons
The documentation around creating instances could be better
It might not be easy for a novice to get their head around
Navigation could be better
I'm sad that the Watson API demo is no longer available
Likelihood to Recommend
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.
My organization mostly deals with data, where we do research and provide the required information to our clients. Because of the variety of the data, we need an unstructured database that can be easily accessible and scalable. Hence, we found out that BM Cloud Object Storage is the right choice for us to go with. One of the main use cases is data storage and data analytics.
Pros
Data archiving - store and manage large amount of data in archive form also.
Data analytics - stored data are processed for the analytics purpose.
It supports hybrid cloud storage and can be integrated with on-premises storage for more flexibility.
Backup and recovery.
Cons
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.
Likelihood to Recommend
Hybrid cloud storage makes this easier to use with an on-premises database. Backup and recovery are so easy that it feels like you can get the data back in no time. Backup can be scheduled automatically, and storage is not a problem here. Recovery can be done with the selected storage key.
Managing the massive amounts of data that educational materials and
scholarly research can produce requires the storage capacity that IBM Cloud
Object Storage essentially provides indefinitely for me.
Storage limitations are not a concern for me because I can effortlessly
save, retrieve, and distribute massive items like research data, lecture
recordings, and instructional videos.
Pros
Adaptable Storage
Versatile Access
Cons
Forecastability of Costs
Intricacy
Likelihood to Recommend
Regardless of where they were, I collaborated and exchanged files with coworkers and students with ease. My research data and educational materials are safeguarded thanks to the secure sharing options offered by IBM Cloud Object Storage. To safeguard the data I've stored, IBM provides strong security measures including encryption. Managing sensitive data requires colleges to abide by a number of data protection laws, which the platform assists them with.
This is the most scalable storage solution that enables my team to store customers data under safe custody. It offers different storage capacities that enhances efficient classification of data for easy access. IBM Cloud Object Storage has enhanced effective customer and supplier data storage that saves time and cost during marketing campaigns. The integrated security monitoring network models prevents data from ransomware attacks.
Pros
Provision of efficient security to stored data.
Easy retrieval of saved data in cloud database.
Scalable data storage capacity
Cons
The software is ever reliable with suitable features.
I like the storage capacity and all the services offered by this platform.
Likelihood to Recommend
This is appropriate platform for storing large volumes of data with high security capabilities. The marketing team can easily access clients data and collaborate effectively from IBM Cloud Object Storage database. The software has enhanced strong brand reputation from our customers from the powerful IBM Infrastructure. I have not observed downtime scenarios from the data coverage services that I have received from this product.
It solves CRM issues; it helps with organizing the company corporate existence. It merges data management of Finance, HR, Procurement, Sales etc. enabling easier decision making by stakeholders.
Pros
Its reliable. No flunctuations
Clean, User-friendly interface and dashboard
Easy to Navigate, No glitches
Cons
There should be more option for cloud deployment most especially in hybrid options
Analytics improvision could be improved upon
Likelihood to Recommend
As I said earlier IBM provision interface is very user friendly and navigation is smooth. There is smooth of flow ion Data representations. But there is room for improvement in hybrid services and latency
In our BMI application, we utilize IBM Cloud Object Storage to securely store and manage user data, which includes height, weight, age, and sex. This cloud-based solution addresses key business challenges by providing scalable, reliable, and cost-effective data storage and retrieval. It ensures data accessibility for our machine learning model, enabling accurate BMI calculations. The scope of our use case revolves around maintaining privacy, data integrity, and seamless access for users, thereby enhancing the accuracy and efficiency of our application. IBM Cloud Object Storage plays a pivotal role in supporting our BMI calculation and health monitoring system.
Pros
Scalability
Security
Data accessibility
Compliance
Cost efficiency
Cons
User interface
Pricing transparency
Advanced analytics
Likelihood to Recommend
IBM Cloud Object Storage is well-suited for:
Data Backup and Archiving
Media and Content Distribution
IoT Data Storage
Data Lakes
Collaborative Workflows
IBM Cloud Object Storage may be less appropriate for:
I effectively leverage IBM Cloud Object Storage to streamline my data management needs. Its robust features and scalability ensure seamless storage and retrieval of crucial data. The user-friendly interface simplifies the process of organizing and accessing files, while its robust security measures guarantee data integrity. IBM Cloud Object Storage has become an indispensable tool for my data storage and retrieval requirements, enhancing my workflow and data management efficiency.
Pros
Clarity of dashboard layout (and the ability to edit the the dashboard to fit our needs) makes it easy and intuitive to use.
Ease of navigation allows for quick selection of tasks to complete and/or manage.
Clear and reasonable billing options for usage.
Cons
Would like to be able to add a favorites list as a dashboard block for quick access to the most frequently managed resources (rather than searching the Resource List page).
Likelihood to Recommend
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.
I'm developing apps for object detection using tensorflow framework.
Pros
Storing Object Resources Charge-Free
Machine Learning
Image Classification
Object Localization/Detection
Cons
Some feature in "Computer Vision Learning Studio" is difficult or may not work at all, like for testing trained dataset/model.
"Computer Vision Learning Studio" notebook for dataset training runs slow, also no detail/description given when notebook cell is processing.
"Computer Vision Learning Studio" notebook needs python/tensorflow upgrade to meet current demand. From what I experienced, the notebook has python 7.x and tensorflow 1.x, which make it difficult to compare to latest version (like Python11, TF2)
Likelihood to Recommend
IBM Cloud Object Storage is very good for storing online files/directories. I also love that IBM has "Computer Vision" project which is very helpful in making dataset training (from dataset collecting, annotation, training & deployment) to testing.
