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new 1b579d2dbf Revise BanyanDB documentation for clarity and detail
(#13618)
1b579d2dbf is described below
commit 1b579d2dbf04544424a28b6b5e5af7a5df6fab3d
Author: 吴晟 Wu Sheng <[email protected]>
AuthorDate: Mon Dec 15 18:58:25 2025 +0800
Revise BanyanDB documentation for clarity and detail (#13618)
---
docs/en/setup/backend/backend-storage.md | 14 ++++++++------
1 file changed, 8 insertions(+), 6 deletions(-)
diff --git a/docs/en/setup/backend/backend-storage.md
b/docs/en/setup/backend/backend-storage.md
index 6542770eab..08d616fd95 100644
--- a/docs/en/setup/backend/backend-storage.md
+++ b/docs/en/setup/backend/backend-storage.md
@@ -10,12 +10,14 @@ storage:
## BanyanDB - Native APM Database
- [BanyanDB](storages/banyandb.md)
-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.
-
-In benchmark testing, a BanyanDB cluster with 2 liaison nodes and 2 data nodes
(each with 2 cores and 4GB memory) successfully handled sustained
high-throughput workloads:
-ingesting over 571,000 metric data points, 151,000 stream records, and 6,600
traces (133,200 spans) per minute. Query performance remained responsive with
median latencies of 26ms for metrics (p99: 288ms), 7ms for streams (p99: 72ms),
and 436ms for traces (p99: ~1.1s) under concurrent read/write operations.
+BanyanDB is a native-built SkyWalking database that focuses entirely on
SkyWalking use cases.
+BanyanDB demonstrates significant potential in improving performance and
optimizing resource utilization.
+In typical deployment scenarios involving around 200 services and 200+ calls
per second, a cluster configured with 2 liaison nodes and 2 data nodes—each
equipped with 4 vCPUs and 8 GB memory—delivers stable and efficient performance.
+BanyanDB also supports full tracing sampling, providing trace collection
capabilities up to 100%, ensuring comprehensive observability without
compromising system stability.
+
+For the latest performance benchmarks of **BanyanDB**, please refer to the
following sections:
+- [**Single‑Model Benchmark (Trace / Log / Measure /
Property)**](https://skywalking.apache.org/docs/skywalking-banyandb/next/operation/benchmark/benchmark-single-model/)
— evaluates individual data models in isolation.
+- [**Hybrid Scenario Benchmark — Realistic workloads for typical SkyWalking
use
cases**](https://skywalking.apache.org/docs/skywalking-banyandb/next/operation/benchmark/benchmark-hybrid/)
— simulates mixed observability data ingestion and query scenarios.
## SQL database
- [MySQL and its compatible databases](storages/mysql.md)
