thanks a lot for your discussions on the original post.
following your suggestions, let me re-phrase a bit :
kdb is known for its efficiency, and such efficiency comes at a terrible price. However, with computational power so cheap this days, there must be a sweet spot where we can achieve a comparable efficiency of data manipulation, at a more reasonable cost.
For instance, if a KDB license cost a small shop $200K per year (I dont know how much it actually cost, do you know?), maybe there is a substitute solution: e.g., we pay 50K to build a decent cluster, storing all data onto a network file system, and parallelize all the data queries. This solution might not be as fast or as elegant as KDB, but it would be much more affordable and most important -- you take full control of it.
what do you think? is there anything like this?
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