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Analytics and Computing: On-Premise or Cloud? Wherever the Data is Created is the Best Location
Last time this year, tech publication articles had headlines like “Where have all the on-premise analytics solutions gone?” That particular article, for example, pointed to the IBM Unica product and Webtrends, both announcing that they would no longer continuing development for their on-premise solutions. Going forward, the plan for those products was to focus exclusively on the cloud.
So it’s interesting when analytics vendors, especially one with a name like Cloudera, maker of Hadoop-based software and services, announces that many businesses are finding that it’s still early to be using the cloud.
Charles Zedlewski, Cloudera’s vice president of products, recently told TechTarget that “when we were founded, we thought that the main deployment model was going to be the cloud. We were quickly disabused of that notion. Today, upwards of 90% of our deployments run on-premises. When you look at who has a lot of data — the federal government, financial services, telcos — they all have enormous investments in their data centers… Wherever you create data, it tends to stay there, because it’s such a pain to move it.”
Amr Awadallah, CTO of Cloudera, added that “for legacy applications, the hassle of moving all that data into the cloud is just too much. In fact it becomes faster to ship the data on disk than over the Internet.”