In a recent guest blog for Big Data Ldn conference, Hannah Smalltree of Cazena writes about the platform-as-a-service (PaaS) market. It’s growing quickly for big data and analytics, and for good reasons. The cloud PaaS model promises more agility, less administration, big cost savings and the list goes on. But PaaS labels are applied to many different services, and organizations report very different results. Read on to learn what you must consider if you’re considering PaaS for big data and analytics.
More Resources about Big Data and Analytics Platform as a Service:
- Learn more in a blog about the challenges of PaaS in the enterprise
- Find out how to compare Big Data as a Service vs Platform as a Service
- Visit Gartner.com to review the 2017 Gartner Market Guide for Database Platform as a Service (subscription required)