Quandl is a financial data platform that offers a diverse array of financial, economic, and alternative datasets. It allows users to access over 40 million financial and economic datasets for analysis and modeling.
Quandl is a financial data platform offering diverse financial, economic, and alternative datasets for analysis and modeling.
What is Quandl?
Quandl is a financial data platform designed to empower analysts and developers in making better decisions through data. It offers a diverse array of financial, economic, and alternative datasets from over 500 sources for quantitative analysis and modeling.
Some key features of Quandl include:
Access to over 40 million financial, economic and alternative datasets covering stocks, futures, FX rates, housing markets, shipping costs, energy and commodities prices, satellite imagery and more.
Flexible delivery options including API, Excel add-in, database connectors or directly on the website.
Sourcing datasets from over 500 publishers including NASDAQ, Standard & Poors, Zillow, WM/Reuters and more.
Data quality assurance through regular refreshes, accuracy checks and monitoring.
Intuitive search and filters to easily find relevant datasets.
Custom solutions for data management, visualization and modeling.
Dedicated support and training resources.
With its depth and breadth of data paired with flexible delivery methods, Quandl enables analysts to streamline data collection and focus on insights. It is commonly used across financial services, Fortune 500 companies, academic institutions and data-driven organizations.
Quandl Features
Features
Access to over 40 million financial, economic and alternative datasets
API for programmatic access to data
Excel add-in for direct access within spreadsheets
Data visualization tools
Ability to create customized datasets
Pricing
Freemium
Subscription-Based
Pros
Huge variety of financial and economic datasets
Flexible API for integrating data into models and applications
User friendly interface and tools
Free access to many datasets
Customizable data packages
Cons
Limited free plan
Can be expensive for large scale usage
Some key financial datasets only available on higher tiers
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