Quandl is a relatively recent service that essentially functions as an intelligent search engine for numerical data, having indexed close to seven million time-series datasets from over 400 sources.
You may have heard of the numerical data search engine service under its previous name, Wikiposit. In that incarnation and this, what it’s about, says product and marketing manager Sean Crawford, “is pulling together all that open data and making it freely accessible for everyone.”
Today, Crawford says, someone in search of high-quality numerical data either spends a lot of time looking for it online, and then dealing with extracting, validating, formatting, merging and sharing it, or they subscribe to a service whose costs can exponentially add up. Among users of Quandl today the academic community figures prominently, he says, since those in it usually can’t afford a Bloomberg terminal or Factual data stream subscription.