Struggling to choose between Twelve Data and Quandl? Both products offer unique advantages, making it a tough decision.
Twelve Data is a Ai Tools & Services solution with tags like alternative-data, market-insights, predictive-analytics.
It boasts features such as Access to alternative data sets not found in traditional sources, Real-time data on credit card transactions, web traffic, mobile apps, shipping, weather, and more, Tools to analyze and visualize alternative data, APIs to integrate alternative data into existing systems, Pre-built datasets for common use cases like finance, ecommerce, and marketing and pros including Unique and valuable data sources not widely available, Can provide predictive signals and early indicators for trends, Faster access to real-time data than traditional sources, Enables new analytics and insights not possible before.
On the other hand, Quandl is a Business & Commerce product tagged with finance, data, api, stocks, economics.
Its standout features include 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, and it shines with pros like 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.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Twelve Data is an alternative data platform that provides access to unique data sets from alternative sources. It offers market insights and predictive signals derived from real-time information not found in traditional data feeds.
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.