What would convince me is if you show benchmarks between large LTGM deployments and OpenObserve.
Show me OpenObserve ingesting a few billion metrics streams and show me how query times are faster than mimir.
Show me OpenObserve ingesting a few billion metrics streams and show me how query times are faster than mimir.
We run benchmarks internally and will publish them once we are ready for it, but are unlikely to benchmark someone else's product. Benchmarking someone else's product always leads to a conversation similar to - You ran your benchmark in the most optimized way but used our non optimized settings or a version of that.
People who use OpenObserve like it for it's ease of setup, ease of management, high performance and rich feature set.
Especially for logs, grafana and loki is no match in terms of features and performance when it comes to OpenObserve. I will let you test it if you are curious and have some spare time.
OpenObserve is used by people ingesting MBs of data in their basement to PBs of data in large clusters in AWS, Azure, GCP and other cloud environments.
BTW, here is a story of a large EV company who moved to OpenObserve for traces and increased performance by a factor of 10x and reduced their cost at the same time - https://openobserve.ai/blog/jidu-journey-to-100-tracing-fide...
Like I said, the industry is small and I know several colleagues running LGTM at large scales (10k-100k nodes) so I know the system works and it is a safe bet.