IBM Cloud Object Storage Review
March 14, 2021

IBM Cloud Object Storage Review

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

Overall Satisfaction with IBM Cloud Object Storage

We use to store articles, newspaper advertisements and then we use NLP for summarization. We need a lot of space because we train our model with these articles but twits as well and then we 'sense' the behavior of several products by providing short descriptions and recipes.
  • Easy Setup
  • Easy code management with Python
  • Easy interface
  • Promotion regarding watson
  • price templating
  • Positive impact because are scaling our buiness
  • Positive ROI
We use SQL query to store our raw data and summarizations data with CSV format because in that way we can use other technologies like dbmind. Is excellent to use IBM Cloud SQL query because we need high availability with security access.
We still not using IBM Aspera but probably we will, we are on the path to grow.
Yes definitely. Because we separate mainly in cold and cool, in that way we provide historical access and trendy access to our customers.
Because is easy and practical setup is the main desired feature. We can stack our data by layers: easy, cool, dynamic, and IA modified. In that way several teams can work globally but with targeted goals.
Our main core engine is sales, with this stack we can manage our inventory and sales with efficiency and with forecasting, is a dream to have everything in place at the immediate time by using Machine Learning algorithms, additionality we can boost our marketing team by integrated NLP and Text2Speech and Speech to Text.
Integration with python

Not appropriate if a business does not have any experience with Machine Learning

IBM Cloud Object Storage Feature Ratings

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