docs: update benchmark reports

docs/faq-and-others/faq.md

@@ -125,6 +125,9 @@ As mentioned, the cloud version offers more ready-to-use features to help you ge
 
 You can find the public TSBS benchmark results [here](https://github.com/GreptimeTeam/greptimedb/tree/main/docs/benchmarks/tsbs) and the deployment documentation [here](/getting-started/installation/overview.md).
 
+For more about performance reports please read [How is GreptimeDB's performance compared to other solutions?](/user-guide/concepts/features-that-you-concern.md#how-is-greptimedbs-performance-compared-to-other-solutions)
+
+
 ### What should I do if the region becomes `DOWNGRADED` and the tables on that node become read-only after the datanode restarts? Is there a way to automatically reactivate it?
 
 According to your configuration, the failover in metasrv, which may mark the region as `DOWNGRADED`, is disabled. Another procedure that may mark a region as `DOWNGRADED` is the region migration procedure. Please try running the region migration procedure and provide feedback for further assistance.

docs/user-guide/concepts/features-that-you-concern.md

@@ -53,11 +53,13 @@ GreptimeDB also offers a fully-managed cloud service [GreptimeCloud](https://gre
 
 ## How is GreptimeDB's performance compared to other solutions?
 
+[GreptimeDB archives 1 billion cold run #1 in JSONBench!](https://greptime.com/blogs/2025-03-18-jsonbench-greptimedb-performance)
+
 Please read the performance benchmark reports:
 
 * [GreptimeDB vs. InfluxDB](https://greptime.com/blogs/2024-08-07-performance-benchmark)
 * [GreptimeDB vs. Grafana Mimir](https://greptime.com/blogs/2024-08-02-datanode-benchmark)
-* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.com/blogs/2024-08-22-log-benchmark)
+* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.com/blogs/2025-03-10-log-benchmark-greptimedb)
 * [GreptimeDB vs. SQLite](https://greptime.com/blogs/2024-08-30-sqlite)
 
 ## Does GreptimeDB have disaster recovery solutions?

docs/user-guide/concepts/why-greptimedb.md

@@ -16,7 +16,9 @@ GreptimeDB leverages cloud object storage (like AWS S3 and Azure Blob Storage et
 
 As for performance optimization, GreptimeDB utilizes different techniques such as, LSM Tree, data sharding, and kafka-based WAL design, to handle large workloads of time-series data ingestion.
 
-GreptimeDB is written in pure Rust for superior performance and reliability. The powerful and fast query engine is powered by vectorized execution and distributed parallel processing (Thanks to [Apache DataFusion](https://datafusion.apache.org/)), and combined with [indexing capabilities](/user-guide/manage-data/data-index.md) such as inverted index, data skipping index and full-text index, etc. GreptimeDB builds smart indexing and Massively Parallel Processing (MPP) together to boost pruning and filtering. read the [benchmark reports](https://www.greptime.com/blogs/2024-09-09-report-summary).
+GreptimeDB is written in pure Rust for superior performance and reliability. The powerful and fast query engine is powered by vectorized execution and distributed parallel processing (Thanks to [Apache DataFusion](https://datafusion.apache.org/)), and combined with [indexing capabilities](/user-guide/manage-data/data-index.md) such as inverted index, data skipping index and full-text index, etc. GreptimeDB builds smart indexing and Massively Parallel Processing (MPP) together to boost pruning and filtering.
+
+[GreptimeDB archives 1 billion cold run #1 in JSONBench!](https://greptime.com/blogs/2025-03-18-jsonbench-greptimedb-performance), read more [benchmark reports](https://www.greptime.com/blogs/2024-09-09-report-summary).
 
 ## Elastic Scaling with Kubernetes
 

i18n/zh/docusaurus-plugin-content-docs/current/faq-and-others/faq.md

@@ -149,6 +149,8 @@ GreptimeDB 是一个快速发展的开源项目，欢迎社区的反馈和贡献
 
 用户可以查看我们的 [TSBS 基准测试结果](https://github.com/GreptimeTeam/greptimedb/tree/main/docs/benchmarks/tsbs)并查看相关的[部署文档](https://docs.greptime.com/getting-started/installation/overview)。
 
+更多性能报告请参考[GreptimeDB 对比其他存储或时序数据库的性能如何](/user-guide/concepts/features-that-you-concern.md#greptimedb-对比其他存储或时序数据库的性能如何)。
+
 ### 在 datanode 重启后，某些节点的 region 状态变为 `DOWNGRADED` 且表变为只读，该如何处理？是否可以自动重新激活？
 
 根据用户的配置，metasrv 中的故障转移功能已禁用，这可能导致 region 被标记为 `DOWNGRADED`。此外，region 迁移过程也可能标记 region 为 `DOWNGRADED`。建议尝试运行 region 迁移程序，完成后请反馈具体情况以获得进一步帮助。

i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/features-that-you-concern.md

@@ -52,11 +52,13 @@ GreptimeDB 还提供一个完全托管的云服务 [GreptimeCloud](https://grept
 
 ## GreptimeDB 对比其他存储或时序数据库的性能如何？
 
+GreptimeDB 在 [ClickHouse 的 JSONBench 测试中 Cold Run 斩获第一](https://greptime.cn/blogs/2025-03-18-json-benchmark-greptimedb)！
+
 请阅读以下性能报告：
 
 * [GreptimeDB vs. InfluxDB](https://greptime.cn/blogs/2024-08-08-report)
 * [GreptimeDB vs. Grafana Mimir](https://greptime.cn/blogs/2024-08-01-grafana)
-* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.cn/blogs/2024-08-21-report)
+* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.cn/blogs/2025-03-07-greptimedb-log-benchmark)
 * [GreptimeDB vs. SQLite](https://greptime.cn/blogs/2024-08-30-sqlite)
 
 ## GreptimeDB 有灾难恢复解决方案吗？

i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/why-greptimedb.md

@@ -15,7 +15,9 @@ GreptimeDB 采用云对象存储（如 AWS S3、阿里云 OSS 和 Azure Blob Sto
 
 在性能优化方面，GreptimeDB 运用了多种技术，如 LSM Tree、数据分片和基于 Kafka 的 WAL 设计，以处理大规模时序数据的写入。
 
-GreptimeDB 采用纯 Rust 编写，确保卓越的性能、安全和可靠性。其强大快速的查询引擎基于向量化执行和分布式并行处理（得益于 [Apache DataFusion](https://datafusion.apache.org/)），并结合了[多种索引能力](/user-guide/manage-data/data-index)，如倒排索引、跳数索引和全文索引等。GreptimeDB 将智能索引和大规模并行处理（MPP）相结合，以提升数据剪枝和过滤效率。详情请参阅[性能测试报告](https://greptime.cn/blogs/2024-09-09-report-summary)。
+GreptimeDB 采用纯 Rust 编写，确保卓越的性能、安全和可靠性。其强大快速的查询引擎基于向量化执行和分布式并行处理（得益于 [Apache DataFusion](https://datafusion.apache.org/)），并结合了[多种索引能力](/user-guide/manage-data/data-index.md)，如倒排索引、跳数索引和全文索引等。GreptimeDB 将智能索引和大规模并行处理（MPP）相结合，以提升数据剪枝和过滤效率。
+
+GreptimeDB 在 [ClickHouse 的 JSONBench 测试中 Cold Run 斩获第一](https://greptime.cn/blogs/2025-03-18-json-benchmark-greptimedb)，更多报告请参阅[性能测试报告](https://greptime.cn/blogs/2024-09-09-report-summary)。
 
 ## 基于 Kubernetes 的弹性扩展
 

i18n/zh/docusaurus-plugin-content-docs/version-0.13/faq-and-others/faq.md

@@ -149,6 +149,8 @@ GreptimeDB 是一个快速发展的开源项目，欢迎社区的反馈和贡献
 
 用户可以查看我们的 [TSBS 基准测试结果](https://github.com/GreptimeTeam/greptimedb/tree/main/docs/benchmarks/tsbs)并查看相关的[部署文档](https://docs.greptime.com/getting-started/installation/overview)。
 
+更多性能报告请参考[GreptimeDB 对比其他存储或时序数据库的性能如何](/user-guide/concepts/features-that-you-concern.md#greptimedb-对比其他存储或时序数据库的性能如何)。
+
 ### 在 datanode 重启后，某些节点的 region 状态变为 `DOWNGRADED` 且表变为只读，该如何处理？是否可以自动重新激活？
 
 根据用户的配置，metasrv 中的故障转移功能已禁用，这可能导致 region 被标记为 `DOWNGRADED`。此外，region 迁移过程也可能标记 region 为 `DOWNGRADED`。建议尝试运行 region 迁移程序，完成后请反馈具体情况以获得进一步帮助。

i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/features-that-you-concern.md

@@ -52,11 +52,13 @@ GreptimeDB 还提供一个完全托管的云服务 [GreptimeCloud](https://grept
 
 ## GreptimeDB 对比其他存储或时序数据库的性能如何？
 
+GreptimeDB 在 [ClickHouse 的 JSONBench 测试中 Cold Run 斩获第一](https://greptime.cn/blogs/2025-03-18-json-benchmark-greptimedb)！
+
 请阅读以下性能报告：
 
 * [GreptimeDB vs. InfluxDB](https://greptime.cn/blogs/2024-08-08-report)
 * [GreptimeDB vs. Grafana Mimir](https://greptime.cn/blogs/2024-08-01-grafana)
-* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.cn/blogs/2024-08-21-report)
+* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.cn/blogs/2025-03-07-greptimedb-log-benchmark)
 * [GreptimeDB vs. SQLite](https://greptime.cn/blogs/2024-08-30-sqlite)
 
 ## GreptimeDB 有灾难恢复解决方案吗？

i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/why-greptimedb.md

@@ -15,7 +15,9 @@ GreptimeDB 采用云对象存储（如 AWS S3、阿里云 OSS 和 Azure Blob Sto
 
 在性能优化方面，GreptimeDB 运用了多种技术，如 LSM Tree、数据分片和基于 Kafka 的 WAL 设计，以处理大规模时序数据的写入。
 
-GreptimeDB 采用纯 Rust 编写，确保卓越的性能、安全和可靠性。其强大快速的查询引擎基于向量化执行和分布式并行处理（得益于 [Apache DataFusion](https://datafusion.apache.org/)），并结合了[多种索引能力](/user-guide/manage-data/data-index)，如倒排索引、跳数索引和全文索引等。GreptimeDB 将智能索引和大规模并行处理（MPP）相结合，以提升数据剪枝和过滤效率。详情请参阅[性能测试报告](https://greptime.cn/blogs/2024-09-09-report-summary)。
+GreptimeDB 采用纯 Rust 编写，确保卓越的性能、安全和可靠性。其强大快速的查询引擎基于向量化执行和分布式并行处理（得益于 [Apache DataFusion](https://datafusion.apache.org/)），并结合了[多种索引能力](/user-guide/manage-data/data-index.md)，如倒排索引、跳数索引和全文索引等。GreptimeDB 将智能索引和大规模并行处理（MPP）相结合，以提升数据剪枝和过滤效率。
+
+GreptimeDB 在 [ClickHouse 的 JSONBench 测试中 Cold Run 斩获第一](https://greptime.cn/blogs/2025-03-18-json-benchmark-greptimedb)，更多报告请参阅[性能测试报告](https://greptime.cn/blogs/2024-09-09-report-summary)。
 
 ## 基于 Kubernetes 的弹性扩展
 

versioned_docs/version-0.13/faq-and-others/faq.md

@@ -125,6 +125,9 @@ As mentioned, the cloud version offers more ready-to-use features to help you ge
 
 You can find the public TSBS benchmark results [here](https://github.com/GreptimeTeam/greptimedb/tree/main/docs/benchmarks/tsbs) and the deployment documentation [here](/getting-started/installation/overview.md).
 
+For more about performance reports please read [How is GreptimeDB's performance compared to other solutions?](/user-guide/concepts/features-that-you-concern.md#how-is-greptimedbs-performance-compared-to-other-solutions)
+
+
 ### What should I do if the region becomes `DOWNGRADED` and the tables on that node become read-only after the datanode restarts? Is there a way to automatically reactivate it?
 
 According to your configuration, the failover in metasrv, which may mark the region as `DOWNGRADED`, is disabled. Another procedure that may mark a region as `DOWNGRADED` is the region migration procedure. Please try running the region migration procedure and provide feedback for further assistance.

versioned_docs/version-0.13/user-guide/concepts/features-that-you-concern.md

@@ -53,11 +53,13 @@ GreptimeDB also offers a fully-managed cloud service [GreptimeCloud](https://gre
 
 ## How is GreptimeDB's performance compared to other solutions?
 
+[GreptimeDB archives 1 billion cold run #1 in JSONBench!](https://greptime.com/blogs/2025-03-18-jsonbench-greptimedb-performance)
+
 Please read the performance benchmark reports:
 
 * [GreptimeDB vs. InfluxDB](https://greptime.com/blogs/2024-08-07-performance-benchmark)
 * [GreptimeDB vs. Grafana Mimir](https://greptime.com/blogs/2024-08-02-datanode-benchmark)
-* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.com/blogs/2024-08-22-log-benchmark)
+* [GreptimeDB vs. ClickHouse vs. ElasticSearch](https://greptime.com/blogs/2025-03-10-log-benchmark-greptimedb)
 * [GreptimeDB vs. SQLite](https://greptime.com/blogs/2024-08-30-sqlite)
 
 ## Does GreptimeDB have disaster recovery solutions?

versioned_docs/version-0.13/user-guide/concepts/why-greptimedb.md

@@ -16,7 +16,9 @@ GreptimeDB leverages cloud object storage (like AWS S3 and Azure Blob Storage et
 
 As for performance optimization, GreptimeDB utilizes different techniques such as, LSM Tree, data sharding, and kafka-based WAL design, to handle large workloads of time-series data ingestion.
 
-GreptimeDB is written in pure Rust for superior performance and reliability. The powerful and fast query engine is powered by vectorized execution and distributed parallel processing (Thanks to [Apache DataFusion](https://datafusion.apache.org/)), and combined with [indexing capabilities](/user-guide/manage-data/data-index.md) such as inverted index, data skipping index and full-text index, etc. GreptimeDB builds smart indexing and Massively Parallel Processing (MPP) together to boost pruning and filtering. read the [benchmark reports](https://www.greptime.com/blogs/2024-09-09-report-summary).
+GreptimeDB is written in pure Rust for superior performance and reliability. The powerful and fast query engine is powered by vectorized execution and distributed parallel processing (Thanks to [Apache DataFusion](https://datafusion.apache.org/)), and combined with [indexing capabilities](/user-guide/manage-data/data-index.md) such as inverted index, data skipping index and full-text index, etc. GreptimeDB builds smart indexing and Massively Parallel Processing (MPP) together to boost pruning and filtering.
+
+[GreptimeDB archives 1 billion cold run #1 in JSONBench!](https://greptime.com/blogs/2025-03-18-jsonbench-greptimedb-performance), read more [benchmark reports](https://www.greptime.com/blogs/2024-09-09-report-summary).
 
 ## Elastic Scaling with Kubernetes