The following is an interview I conducted with Jeff Carr, CEO and Founder of SlamData regarding the trends in enterprise business intelligence.
Enterprise Business Intelligence solutions are failing, and the reasons are very obvious. Leading analyst firms including Gartner and G2 have published rankings which show virtually no leadership and scant challengers in the market.
Today’s NoSQL databases share many characteristics with Hadoop, but in some cases, they are easier to manage and develop for. So if you’re about to embark on a big data project, it makes sense to investigate at lease the leading NoSQL contenders.
The exceptional thing that we did was to create an evolutionary approach to this problem. Not another silo or another one-off tool. We said, we’re going to create something that can do all the modern data structures that people are encountering like JSON, like XML, and other sorts of semi-structured data, but that also has the ability to be completely compatible with their existing legacy sources, the relational world.
SlamData CTO John De Goes discusses the Big Data Slog and why SlamData cuts to the chase — or delivers a “visual sandbox” that makes exploration drop-dead simple.
Both Tableau and Pentaho, which are analytics tools in all traits, which is sort of a data wrangling or pipeline tool are designed to deal with strictly relational data. If you have a bunch of JSON data, there’s no way to query that directly from something like Tableau or Pentaho.