Robo-advisors’ functioning is based on algorithms that allow platforms to suggest investment strategies based on large amounts of data which is received from different sources. Thus, robo-advisors use various data types; all this data should be collected, stored, secured, transformed, analyzed, and reported.
MySql is most commonly used by robo-advisors. However, NoSQL databases are also used (Cassandra, Redis, etc.).
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 backends and frontends.
