IBM Bluemix - A Paragidm Shift in Cloud Computing
June 23, 2017

IBM Bluemix - A Paragidm Shift in Cloud Computing

Paul Levy | TrustRadius Reviewer
Score 10 out of 10
Vetted Review

Overall Satisfaction with IBM Cloud PaaS (formerly IBM Bluemix - PaaS)

We use Bluemix internally and for our clients across entire organizations. Bluemix enhances the connectivity between different cloud services, so that data and code can be aggregated in one central place: The Bluemix Dashboard. While similar services exist in AWS and Azure, Bluemix makes the integration highly automated and reliable. Coders can self service their section of the Bluemix infrastructure without relying on cloud networking experts to do so. Database administrators can easily share and control access to data through IBM Data Connect across more than 20 industry standard databases, and though multi-cloud vendors.

Pros

  • Sends data from IBM Data Connect to Data Analytics in one click.
  • Manages coding in the cloud IDE with continuous integration.
  • Has tool chains which aggregate different services together into a complete process.
  • Has a dashboard that is far more in-depth and intuitive than AWS or Azure.

Cons

  • Basics like DNS and routing can be challenging.
  • Uptime is not at the same level as AWS.
  • Phone support is not at the level of AWS.
  • Very cost effective and horizontally scalable serivces.
  • More predictable than spinning up new virtual servers for expansion (Charged by API).
  • Adaptation of all standards including Docker, MongoDB, Node-RED, allows leveraging of existing and Open Source code more reliably to reduce costs.
The IBM competitors have many of the features of Bluemix in isolation, but fail to integrate them easily. Bluemix enables our developers, and our clients' developers to be much more self sufficient and rapidly deploy code.
  • Absolutely for prototyping.
  • Ideal for inter-company data exchanges.
  • Great for shared managed coding by dispersed teams.
  • Excellent suite of starter code.
  • Excellent AI integration via Watson, Node-Red including for IOT.

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