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Does this have any similarity to Goldman Sach's internal language called Slang/SecDB?


Yes, and to several other similar systems, it's another reactive graph.


One distinction is that Goldman's SecDb graph is really optimized around offline derivative pricing and risk calculations, which has always been one of the core strengths of Goldman's quant platform. There is a slight distinction between reactive graphs used for those approaches v. those that are more targeted toward real-time online applications.


In the implementation yes, minimizing single-event latency and maximizing batch throughput are largely mutually incompatible. But from a user/API standpoint, there's little difference.



How is a reactive graph different to a complex event processor? Is it the difference of pull vs push?




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