IBM Cloud Object Storage: effective data storage solution for Data Science applications
January 13, 2020

IBM Cloud Object Storage: effective data storage solution for Data Science applications

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Cloud Object Storage

Our company will be soon providing our clients with consulting, training, support and deployment services on AI and machine learning technologies, and more in general on data science matters. IBM COS is our preferred solution when it comes to storing large amounts of data, thanks to its convenience, scalability and ability to perform in-the-cloud queries (via IBM SQL Query) and analytics.

Pros

  • High speed transfer of data to and from the COS.
  • High security standards.

Cons

  • I have no special improvement suggestion to make at this time.
  • Although it's a little bit too early for us to quantify an ROI in specific, objective terms, the feeling is that COS is an economically convenient ("pay-as-you-go"), scalable and user-friendly solution for data storage, whether it be for simply backing up data, or for data science applications.
As a data persistence tool I think it's a great partner to any data science team that already uses open-source and IBM technologies in its day-to-day job. In fact its integration with other IBM tools (and namely IBM Watson Studio) makes the whole workflow a lot easier and more intuitive.

IBM Cloud Object Storage Feature Ratings

Infrastructure-as-a-Service (IaaS)
9.8
Service-level Agreement (SLA) uptime
10
Dynamic scaling
10
Elastic load balancing
10
Monitoring tools
9
Security controls
10

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