xiaokang commented on PR #13271: URL: https://github.com/apache/skywalking/pull/13271#issuecomment-2919129448
Hi, @xiongyan @wu-sheng, Glad to see this PR and discussion. I'm a PMC member of Apache Doris community and focuses on Doris for observability. I'd like to be involved and glad to help. [Apache Doris](https://doris.apache.org/) is a modern OLAP database for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Doris is popular and its community is very active, with 13.4k github stars, 676 contributors and more than 5000 enterprise users. One of its major user cases is [logging](https://doris.apache.org/docs/3.0/observability/overview) and [observability](https://doris.apache.org/docs/3.0/observability/overview). It's already in the eco-system of [OpenTelemetry](https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/exporter/dorisexporter) as a storage backend. Doris provides the fast full-text search of Elasticsearch while keep low cost and high performance aggregation. Some of the the outstanding features of Doris for observability is outlined here: 1. [INVERTED INDEX](https://doris.apache.org/docs/table-design/index/inverted-index) and full-text search, which is very useful in log and trace search. 2. easy to operate, due to automatic balance for [scaling](https://doris.apache.org/docs/admin-manual/cluster-management/elastic-expansion), online rolling [up-gradation](https://doris.apache.org/docs/admin-manual/cluster-management/upgrade). 3. columnar storage with high compression ratio, which will reduce cost. 4. high performance for both search, aggregation and JOIN queries. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: notifications-unsubscr...@skywalking.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
