Goldman Sachs SecDB saved them in 2008?
Is graph search algo like NEWSQL VoltDB enough to use mimic their trading success?
During the 2009 financial meltdown crisis, many investment banks got hurt pretty bad. It was sometimes their technology backbone that may have saved some of these banks. One bank I’d like to highlight is the world’s largest which is Goldman Sachs. Many may not know this, but don’t be surprised that their risk management database called secDB may have saved their little bottoms. I have put together a list of some of the potential features of this unknown enterprise wide internal database.
SecDB and Slang secret sauce to Goldman Sach’s profit and saving grace of the 2008 financial crisis? Quants rules the roost now!
If you’re like me who like to copy what is successful for a company, you may want to investigate their technology. As for me in this article above, you will notice that it mentioned graph databases. This is just another fine example where programming can give you HUGE trading edge over all the other wannabees out there. In this case, the closest database that I found with the same functionality as secDB is in a closed source commercial database called Volt.
You may want to check out some of the details here
Over the years, my final internal database choice came down to a NO-SQL database called Redis. This is completely true open source written in C which means it can be embedded in a clustered database environment. In fact, I wonder if this could challenge some of the world’s fastest trading chip sets like FPGA. Do you remember that article I posted where there were over 4 million transactions per second pumped through a cluster on flash memory? Well if not, you could always find it on my blog.
These are just some bugs I’m putting into your ear. You may want to listen more on future newsletter postings.