Suddenly, the Cloud has become a hot topic in the analytics software world and in particular big data analytics. Vendors are introducing new products they call “analytics-as-a-service” or “big-data-analytics-as-a-service” (the latter an acronym that is similar to “bad ass” so we we’ll just let that joke die right here).
When one thinks of the model for Software-as-a-Service (SaaS), Salesforce.com often comes to mind. When they turned the CRM world on it’s head, they went beyond just giving someone hosted computers with CRM software on it, they made it “fully managed”, meaning:
Using that model as the gold standard, what should a SaaS or cloud-based big data analytics solution do for you?
Consider your current staff and budget. People with big data skills, specifically Hadoop, are scarce and expensive. Data from Indeed.com shows salaries for people with Hadoop skills are much higher:
Consider your infrastructure budget. While it runs on commodity hardware, Hadoop costs can add up, especially when considering the above staffing costs to set up and maintain it. For the 54% of the Gartner universe that has no plans to invest in Hadoop, finding a fully-managed SaaS big data analytics solution allows them the on-ramp to big data without the associated costs.
When evaluating, ask your solution provider the following questions:
There are a number of vendors that will tell you they are SaaS for big data analytics, but they can’t answer some of those questions. Datameer Cloud is a complete SaaS solution for big data analytics. No infrastructure. No administration. No Hadoop skills needed. Just load your data and go. Want to know more?