The efficiency of robo-advisors generally depends on algorithms selected. However, technology stack used for the software platforms has a significant impact on satisfying clients’ expectations such as the system performance, reliability, and security.
Here, the key North-American and European robo-advisors are grouped according to technologies used for their platforms’ backends. Technology stack applied for backend impacts business intelligence and analytics, mathematical algorithms, data transformation and processing.
The research is based on data received from open sources: AngelList, StackShare, LinkedIn.
Find out what technologies are used by the key robo-advisors for their frontends and data storing.
