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new 6fbd9e7400 Polish words in storage docs. (#12911)
6fbd9e7400 is described below
commit 6fbd9e740070b689cdafae6f2d8e55e2d8cb03d7
Author: 吴晟 Wu Sheng <[email protected]>
AuthorDate: Mon Dec 30 21:29:43 2024 +0800
Polish words in storage docs. (#12911)
---
docs/en/setup/backend/backend-storage.md | 17 +++++++++--------
1 file changed, 9 insertions(+), 8 deletions(-)
diff --git a/docs/en/setup/backend/backend-storage.md
b/docs/en/setup/backend/backend-storage.md
index dac86fbbcc..f878a3b789 100644
--- a/docs/en/setup/backend/backend-storage.md
+++ b/docs/en/setup/backend/backend-storage.md
@@ -7,26 +7,27 @@ storage:
selector: ${SW_STORAGE:banyandb}
```
-Natively supported storage:
-
## BanyanDB - Native APM Database
- [BanyanDB](storages/banyandb.md)
-It has demonstrated significant potential in performance improvement. It
indicates 5x less memory usage,
+BanyanDB is a native-built SkyWalking database, which can completely focus on
SkyWalking use cases.
+It has demonstrated significant potential for performance improvement and
reduced resource usage requirements. It indicates 5x less memory usage,
1/5 disk IOPS, 1/4 disk throughput, and 30% less disk space, albeit with a
slightly higher CPU trade-off, compared to Elasticsearch.
-It is designed and implemented natively for SkyWalking use cases.
## SQL database
- [MySQL and its compatible databases](storages/mysql.md)
- [PostgreSQL and its compatible databases](storages/postgresql.md)
-MySQL and PostgreSQL are recommended for production environments for medium
scale deployments, especially for low trace
-and log sampling rate. Some of their compatible databases may support larger
scale better, such as TiDB and AWS Aurora.
+MySQL and PostgreSQL are recommended for production environments for
medium-scale deployments, especially for low trace
+and log sampling rates. Some of their compatible databases may support larger
scale better, such as TiDB and AWS Aurora.
+But the logs and traces performance could be significantly lower than BanyanDB
and Elasticsearch, even more, their performance can't be improved linearly
+through scaling out nodes.
## Elasticsearch+
- [OpenSearch](storages/elasticsearch.md#opensearch)
- [ElasticSearch 7 and 8](storages/elasticsearch.md#elasticsearch)
-Elasticsearch and OpenSearch are recommended for production environments,
specially for large scale deployments.
-OpenSearch derived from Elasticsearch 7.10.2 and iterate by its own roadmap.
+Elasticsearch and OpenSearch are recommended for production environments,
especially for large-scale deployments.
+OpenSearch derived from Elasticsearch 7.10.2 and iterates by its own roadmap.
But notice, Elasticsearch cluster resource costs are high,
+due to its high requirement for memory and replication requirement to keep
cluster robustness.
