IBM Cloud Object Storage Reviewed by Destiny Corporation
October 30, 2019

IBM Cloud Object Storage Reviewed by Destiny Corporation

Dana Rafiee | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with IBM Cloud Object Storage

IBM Cloud Object Storage is used in our organization and for our clients. For example, for claims analysis in insurance, it is used to help identify and classify claims allowing clients to make a decision to pay out benefits or deploy an adjuster. This helps clients save money through this early classification process.
  • Identify the level of damage in an automobile claim.
  • Classify the mood of customers through a modified facial recognition.
  • Tracking individuals in public spaces, understanding the traffic patterns of venue attendees.
  • While this platform has been around, it does take some getting used. The interface could be refined. My Firefox Browser automatically closed when selecting some options and creating new objects as an example.
  • The tutorials are a bit outdated in comparison to the screens shown. We understand the system is constantly improving. The tutorials should reflect the changes in the interface.
  • There are many pre-trained models. However, it is not clear as to how those models were trained, what bias may exist in the training data, and how a user could improve those models unless we simply have to build our own.
  • 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.
SQL Query is beneficial. While standard, pre-built models can offer classification benefits, the ad hoc, what-if analysis is always required as users need to tweak their work. Running in Spark allows for a quick response with simple SQL queries. We would suggest users get trained in the interface and have a good understanding of the SQL being built behind the scene.
It was very astute of IBM to purchase Aspera as it is the market leader in the data transfer space. Aspera has been used by Hollywood filmmakers for years as they upload daily scenes from remote locations back to the studio for approval. Moving great amounts of images and videos to the cloud is always a challenging proposition. Aspera makes it effortless for the user, alleviating the waiting during copy times.
Yes, this is a highly effective, and automated cost management capability. The concern our clients have is that moving to the cloud can be an expensive effort when projects and data remain active but are not used. This storage classification helps minimize the overall cost of usage and deployment in an organization. It helps IT personnel keep costs created by business users to a minimum while gaining the benefits of the environment.
It is a well-known fact that other competitors like Amazon and Google offer storage options. Moving data into those environments is relatively easy. However, getting data out is not. When selecting the right vendor, not only should clients look at features, but they should consider the life cycle of usage, which means loading and unloading or archiving data at some point. Not all vendors are the same. IBM offers a different life cycle model that allows users to unload as appropriate, without restrictions.
We believe IBM Cloud Object Storage is perfect for any organization that wants to analyze and classify images. We use PowerAI Vision, which powers this product, so we understand the underlying methodology. This could be used for public analysis, crime prevention, insurance claims, drone analysis, and any other visual categorization need. We would not suggest using this for traditional predictive statistics.

IBM Cloud Object Storage Feature Ratings

Service-level Agreement (SLA) uptime
10
Dynamic scaling
9
Elastic load balancing
10
Monitoring tools
8
Security controls
9