Quandl
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| Type of business | Private |
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Type of site
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E-commerce |
| Available in | English |
| Headquarters | Toronto, Canada |
| Area served | Worldwide |
| Founder(s) |
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| Key people |
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| Industry | Internet |
| Products | Quandl Data Marketplace |
| Services | Data subscriptions |
| Employees | 16 |
| Website | quandl |
| Launched | 1 January 2013 |
| Written in | Ruby and Java |
Quandl (/ˈkwɑːndəl/) is a Toronto-based platform for financial, economic, and alternative data, serving investment professionals. Quandl sources data from over 500 publishers. All Quandl's data are accessible via an API. API access is possible through packages for multiple programming languages including R, Python, Matlab, Maple (software) and Stata.
An Excel add-in allows access to data, including stock price information.
Quandl's sources include the UN, Worldbank, CLS Group, Zacks, and several hundred more.
Quandl was founded in 2012 by Tammer Kamel and Abraham Thomas. In March 2013, Quandl raised $1.5m, in seed funding followed by a $5.4m Series A from August Capital in 2014.
Since its launch, Quandl has been discussed as a disruptive force in the anachronistic financial data sector. With over 100,000 users Quandl is positioning itself as a possible replacement for both Bloomberg and Reuters terminals. Quandl is an alternative for people who are unable to afford the expensive licensing fees of Bloomberg and Reuters.
Quandl's main focus, and area of expertise, is in the realm of alternative data. Quandl sells alternative datasets, defined as "any data that is not typically made available to Wall Street firms by traditional sources". Quandl "sources, evaluates and productizes undiscovered data" and then sells it to financial institutions, who use it to enhance their trading strategies.
Quandl also offers market data through its marketplace. Some data sets are free while others require a subscription. Different datasets have different prices. They have hundreds of databases and providers ranging from stock price history to global fundamentals to commodities data to Asian market data.
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