Native Python, pandas, and Jupyter Notebook integrations.
Once you move beyond spreadsheets, Python has become the language of choice for large scale data analytics and machine learning, especially on financial data. A library called pandas, developed at the hedge fund AQR, offers an in memory columnar datastore with many built in functions that makes data analysis easy. Jupyter notebooks offer a browser based interface to working with Python and pandas that is a joy for many researchers.
Fidap plays well with this entire ecosystem - Python, pandas and Jupyter. We offer APIs that help our clients access financial data easily, as well as direct SQL access. In addition, we have a ton of tutorials and examples that are clone-ready for a jump start on your analysis.