diff --git a/docs/faq-and-others/faq.md b/docs/faq-and-others/faq.md index d21766fc0f..e922528a2f 100644 --- a/docs/faq-and-others/faq.md +++ b/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. diff --git a/docs/user-guide/concepts/features-that-you-concern.md b/docs/user-guide/concepts/features-that-you-concern.md index 9a16faa26f..5b193f48ce 100644 --- a/docs/user-guide/concepts/features-that-you-concern.md +++ b/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? diff --git a/docs/user-guide/concepts/why-greptimedb.md b/docs/user-guide/concepts/why-greptimedb.md index d2b549b4c0..073fc38e52 100644 --- a/docs/user-guide/concepts/why-greptimedb.md +++ b/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 diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/faq-and-others/faq.md b/i18n/zh/docusaurus-plugin-content-docs/current/faq-and-others/faq.md index bd730e8510..6d91000721 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/faq-and-others/faq.md +++ b/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。 diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/features-that-you-concern.md b/i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/features-that-you-concern.md index 9b99ce4b00..d101f54364 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/features-that-you-concern.md +++ b/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？ diff --git a/i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/why-greptimedb.md b/i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/why-greptimedb.md index f633b4fd1c..afe5d81560 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/current/user-guide/concepts/why-greptimedb.md +++ b/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 diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-0.13/faq-and-others/faq.md b/i18n/zh/docusaurus-plugin-content-docs/version-0.13/faq-and-others/faq.md index bd730e8510..6d91000721 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-0.13/faq-and-others/faq.md +++ b/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。 diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/features-that-you-concern.md b/i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/features-that-you-concern.md index 9b99ce4b00..d101f54364 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/features-that-you-concern.md +++ b/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？ diff --git a/i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/why-greptimedb.md b/i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/why-greptimedb.md index f633b4fd1c..afe5d81560 100644 --- a/i18n/zh/docusaurus-plugin-content-docs/version-0.13/user-guide/concepts/why-greptimedb.md +++ b/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 diff --git a/versioned_docs/version-0.13/faq-and-others/faq.md b/versioned_docs/version-0.13/faq-and-others/faq.md index d21766fc0f..e922528a2f 100644 --- a/versioned_docs/version-0.13/faq-and-others/faq.md +++ b/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. diff --git a/versioned_docs/version-0.13/user-guide/concepts/features-that-you-concern.md b/versioned_docs/version-0.13/user-guide/concepts/features-that-you-concern.md index 9a16faa26f..5b193f48ce 100644 --- a/versioned_docs/version-0.13/user-guide/concepts/features-that-you-concern.md +++ b/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? diff --git a/versioned_docs/version-0.13/user-guide/concepts/why-greptimedb.md b/versioned_docs/version-0.13/user-guide/concepts/why-greptimedb.md index d2b549b4c0..073fc38e52 100644 --- a/versioned_docs/version-0.13/user-guide/concepts/why-greptimedb.md +++ b/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