BlueMix-a-lot
July 24, 2017

BlueMix-a-lot

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with IBM Watson Analytics (discontinued)

For the past year I've run a personal website on auto-pilot that runs a few thousand API calls per month against IBM Watson Alchemy APIs. Hourly, I fetch articles from HackerNews, and feed the subject line to Watson API so it will auto-categorize them for me. Users of my website are then able to browse articles that are more relevant to their interests.
  • IBM Bluemix provides a wealth of powerful APIs. The ones I tried were easy to use and required minimal training to get up to speed.
  • I'd rate the documentation 9/10 as it was easy to navigate, had good examples and explained most of the possible inputs/outputs.
  • The IBM Bluemix interface itself was horrendous. Performance is a feature, especially for a platform as pricey as Bluemix. Please cure the sluggishness so it's actually useable.
  • Billing details could be improved so it's easier to figure out how much I'm paying and why.
  • Worst customer support I've ever seen. With multiple tickets, I never heard a response. Despite being a paying customer!
  • High ROI. Useful demonstration of my abilities as an engineer; contributed to landing my most recent position.
Used AWS and Azure.
AWS has more features and a far superior interface responsivesness. It's actually usable! That being said default configurations and menus in AWS are more cryptic then necessary.
Azure seems to be the gold standard for pre-configuration and ease of use. Too flashy though. Keep it simple. Keep it fast.
For low throughput scenarios, you can get really useful data with little effort, especially when building multiple applications. For high throughput use cases, I would suggest redesigning your product to work around the really high price point of IBM Watson. Under no circumstances would I recommend IBM Bluemix as a hosting provider in contrast to AWS or Azure.

IBM Cloud Foundry Feature Ratings

Scalability
5
Workflow engine capability
4
Services-enabled integration
5
Development environment creation
6
Development environment replication
6
Issue monitoring and notification
6
Issue recovery
5
Upgrades and platform fixes
5