Yes, so many startups are trying to solve the log issue in the current stack.
In my personal observation, the vast majority of startups are still focused on the product layer and use ClickHouse directly for storage. However, ClickHouse’s tightly coupled storage and compute architecture makes it difficult to scale, and this becomes a real problem as workloads grow. GreptimeDB, on the other hand, is more focused on being an all-in-one observability database. Our log UI, however, still has quite a gap compared to products like Kibana.
This space is very crowded. I think it’s unlikely that any new startup will succeed here unless it can first solve its own business use case exceptionally well.
In my personal observation, the vast majority of startups are still focused on the product layer and use ClickHouse directly for storage. However, ClickHouse’s tightly coupled storage and compute architecture makes it difficult to scale, and this becomes a real problem as workloads grow. GreptimeDB, on the other hand, is more focused on being an all-in-one observability database. Our log UI, however, still has quite a gap compared to products like Kibana.
This space is very crowded. I think it’s unlikely that any new startup will succeed here unless it can first solve its own business use case exceptionally well.
Would love to hear your thoughts.