[prabhatsharma]

In all likelihood you are not going to get convinced by that. You did not switch to using LGTM stack because grafana gave you a benchmark of LGTM against what you were using previously.

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...

[__turbobrew__]

Grafana has always been the lingua-franca of telemetry so I think if you want real traction with people like me you are going to need to publish a publicly verifiable benchmark than OpenObserve can ingest a billion metrics streams, which mimir could do several years ago: https://grafana.com/blog/2022/04/08/how-we-scaled-our-new-pr...

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.