Vertica Chairman Jerry Held has a pair of blog posts on analytics and data warehousing in the cloud. The first lays out a number of potential benefits and consequences of cloud data warehousing, under the heading of “Transforming BI”:
- New BI technology adoption will accelerate. (Because evaluation will be easier)
- Organizations will conduct more short-term ad-hoc analysis. (Because of quick set-up and lack of capital costs.)
- Lines of business will have the flexibility to fund more data mart projects. (Because of lack of capital costs.)
- Data warehousing will increase within medium-size businesses. (I guess because of lack of capital costs.)
- The analytic SaaS market will develop faster. (Because a suitable platform now exists, and because of lack of capital costs.)
On the whole Jerry makes a compelling argument, and I recommend the post highly.
The second post in the series lays out what kind of a DBMS architecture you need to get these benefits. Basically, the criteria boil down to “Runs efficiently and is reliable,” and — surprise! — the specific features needed are exactly those found in Vertica.
Edit: But I do take issue with Jerry’s bright-line distinction between cloud computing and SaaS.