Compute is not the only bottleneck with running analytics on your transactional DB, there is also storage bandwidth and costs. Which is why once you cross a certain scale, you will want to separate out your analytics use case. I've always been tempted to do analytics over my transactional DB, but knowing that eventually I will need to move it out, felt it's just simpler to separate it out from the start.
Since you're advocating for the opposite, who do you see as your potential customers? Specifically, where in the lifecycle their growth do you see Hydra fit? Is it more for early stage or medium scale companies that can benefit from getting started with analytics quickly or can it continue to cater (at reasonable cost!) as they cross terabyte/petabyte scale?
Since you're advocating for the opposite, who do you see as your potential customers? Specifically, where in the lifecycle their growth do you see Hydra fit? Is it more for early stage or medium scale companies that can benefit from getting started with analytics quickly or can it continue to cater (at reasonable cost!) as they cross terabyte/petabyte scale?