Hi Hackers,I am seeking an experience-based comment on effectively storing thousands of likes and reactions that occur every second in a database. What database have you chosen, and if possible, answer why as well, along with schema/format!We are currently using a custom key-value Go-based database, but now it's getting messy with growing numbers and is complex to manage.How do apps like...
2. Size of each insert ( approx 1 KB )
3. Year end datasize = Not available ( too early to guess, but average 600-700 GB )
4. Query must finish in around a minute or around.
Hi Hackers,I am looking for an experience-based comment for cost-effectively storing millions of web analytics data in a database. What database have you chosen, and if possible, answer why as well!I have a few timeseries databases in mind, but apart from that - if anyone else has some other solution which has worked them in a highly cost-effective way for extremely high insertion and low read,...
telemetry is definitely not a solution half of the industry would be happy about. It's polite way of saying - I want to know what you are doing!