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remove timechodb related content from apache introduction (#1153)
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src/UserGuide/Master/Table/IoTDB-Introduction/IoTDB-Introduction_apache.md

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@@ -92,10 +92,3 @@ Apache IoTDB offers the following advantages:
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- Hadoop, Spark, Grafana, ThingsBoard, DataEase, etc.
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## 4. TimechoDB
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Timecho Technology has developed **TimechoDB**, a commercial product based on Apache IoTDB, to provide enterprise-grade solutions and services for businesses and commercial clients. TimechoDB addresses the multifaceted challenges enterprises face when building IoT big data platforms for managing time-series data, including complex application scenarios, massive data volumes, high sampling frequencies, frequent out-of-order data, time-consuming data processing, diverse analytical requirements, and high storage and maintenance costs.
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Leveraging **TimechoDB**, Timecho Technology offers a broader range of product features, enhanced performance and stability, and a richer suite of efficiency tools. Additionally, it provides comprehensive enterprise services, delivering commercial clients with superior product capabilities and an optimized experience in development, operation, and usage.
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- **Timecho Technology Official Website**: [https://www.timecho.com/](https://www.timecho.com/)
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- **TimechoDB Documentation**: [Quick Start](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- **Ecosystem Integration**:
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- Hadoop, Spark, Grafana, ThingsBoard, DataEase, etc.
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## 4. TimechoDB
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Timecho Technology has developed **TimechoDB**, a commercial product based on Apache IoTDB, to provide enterprise-grade solutions and services for businesses and commercial clients. TimechoDB addresses the multifaceted challenges enterprises face when building IoT big data platforms for managing time-series data, including complex application scenarios, massive data volumes, high sampling frequencies, frequent out-of-order data, time-consuming data processing, diverse analytical requirements, and high storage and maintenance costs.
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Leveraging **TimechoDB**, Timecho Technology offers a broader range of product features, enhanced performance and stability, and a richer suite of efficiency tools. Additionally, it provides comprehensive enterprise services, delivering commercial clients with superior product capabilities and an optimized experience in development, operation, and usage.
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- **Timecho Technology Official Website**: [https://www.timecho.com/](https://www.timecho.com/)
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- **TimechoDB Documentation**: [Quick Start](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/UserGuide/V1.3.x/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- Rich ecological environment docking: Supports docking with big data ecosystem components such as Hadoop, Spark, and supports equipment management and visualization tools such as Grafana, Thingsboard, DataEase.
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## Commercial version
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Timecho provides the original commercial product TimechoDB based on the open source version of Apache IoTDB, providing enterprise level products and services for enterprises and commercial customers. It can solve various problems encountered by enterprises when building IoT big data platforms to manage time-series data, such as complex application scenarios, large data volumes, high sampling frequencies, high amount of unaligned data, long data processing time, diverse analysis requirements, and high storage and operation costs.
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Timecho provides a more diverse range of product features, stronger performance and stability, and a richer set of utility tools based on TimechoDB. It also offers comprehensive enterprise services to users, thereby providing commercial customers with more powerful product capabilities and a higher quality of development, operations, and usage experience.
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- Timecho Official website:https://www.timecho.com/
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- TimechoDB installation, deployment and usage documentation:[QuickStart](https://www.timecho.com/docs/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/UserGuide/dev-1.3/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- Rich ecological environment docking: Supports docking with big data ecosystem components such as Hadoop, Spark, and supports equipment management and visualization tools such as Grafana, Thingsboard, DataEase.
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## Commercial version
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Timecho provides the original commercial product TimechoDB based on the open source version of Apache IoTDB, providing enterprise level products and services for enterprises and commercial customers. It can solve various problems encountered by enterprises when building IoT big data platforms to manage time-series data, such as complex application scenarios, large data volumes, high sampling frequencies, high amount of unaligned data, long data processing time, diverse analysis requirements, and high storage and operation costs.
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Timecho provides a more diverse range of product features, stronger performance and stability, and a richer set of utility tools based on TimechoDB. It also offers comprehensive enterprise services to users, thereby providing commercial customers with more powerful product capabilities and a higher quality of development, operations, and usage experience.
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- Timecho Official website:https://www.timecho.com/
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- TimechoDB installation, deployment and usage documentation:[QuickStart](https://www.timecho.com/docs/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/UserGuide/latest-Table/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- **Ecosystem Integration**:
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- Hadoop, Spark, Grafana, ThingsBoard, DataEase, etc.
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## 4. TimechoDB
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Timecho Technology has developed **TimechoDB**, a commercial product based on Apache IoTDB, to provide enterprise-grade solutions and services for businesses and commercial clients. TimechoDB addresses the multifaceted challenges enterprises face when building IoT big data platforms for managing time-series data, including complex application scenarios, massive data volumes, high sampling frequencies, frequent out-of-order data, time-consuming data processing, diverse analytical requirements, and high storage and maintenance costs.
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Leveraging **TimechoDB**, Timecho Technology offers a broader range of product features, enhanced performance and stability, and a richer suite of efficiency tools. Additionally, it provides comprehensive enterprise services, delivering commercial clients with superior product capabilities and an optimized experience in development, operation, and usage.
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- **Timecho Technology Official Website**: [https://www.timecho.com/](https://www.timecho.com/)
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- **TimechoDB Documentation**: [Quick Start](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- **Ecosystem Integration**:
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- Hadoop, Spark, Grafana, ThingsBoard, DataEase, etc.
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## 4. TimechoDB
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Timecho Technology has developed **TimechoDB**, a commercial product based on Apache IoTDB, to provide enterprise-grade solutions and services for businesses and commercial clients. TimechoDB addresses the multifaceted challenges enterprises face when building IoT big data platforms for managing time-series data, including complex application scenarios, massive data volumes, high sampling frequencies, frequent out-of-order data, time-consuming data processing, diverse analytical requirements, and high storage and maintenance costs.
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Leveraging **TimechoDB**, Timecho Technology offers a broader range of product features, enhanced performance and stability, and a richer suite of efficiency tools. Additionally, it provides comprehensive enterprise services, delivering commercial clients with superior product capabilities and an optimized experience in development, operation, and usage.
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- **Timecho Technology Official Website**: [https://www.timecho.com/](https://www.timecho.com/)
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- **TimechoDB Documentation**: [Quick Start](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)
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src/zh/UserGuide/Master/Table/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- 丰富的生态环境对接:支持Hadoop、Spark等大数据生态系统组件对接,支持Grafana、Thingsboard、DataEase等设备管理和可视化工具
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## 4. 商业版本
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天谋科技在 Apache IoTDB 的基础上提供了原厂商业化产品 TimechoDB,为企业、商业客户提供企业级产品和服务,它可以解决企业组建物联网大数据平台管理时序数据时所遇到的应用场景复杂、数据体量大、采样频率高、数据乱序多、数据处理耗时长、分析需求多样、存储与运维成本高等多种问题。
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天谋科技基于 TimechoDB 提供更多样的产品功能、更强大的性能和稳定性、更丰富的效能工具,并为用户提供全方位的企业服务,从而为商业化客户提供更强大的产品能力,和更优质的开发、运维、使用体验。
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- 天谋科技官网:https://www.timecho.com/
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- TimechoDB 安装部署与使用文档:[快速上手](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md

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## 4. 商业版本
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天谋科技在 Apache IoTDB 的基础上提供了原厂商业化产品 TimechoDB,为企业、商业客户提供企业级产品和服务,它可以解决企业组建物联网大数据平台管理时序数据时所遇到的应用场景复杂、数据体量大、采样频率高、数据乱序多、数据处理耗时长、分析需求多样、存储与运维成本高等多种问题。
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天谋科技基于 TimechoDB 提供更多样的产品功能、更强大的性能和稳定性、更丰富的效能工具,并为用户提供全方位的企业服务,从而为商业化客户提供更强大的产品能力,和更优质的开发、运维、使用体验。
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- 天谋科技官网:https://www.timecho.com/
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- TimechoDB 安装部署与使用文档:[快速上手](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/zh/UserGuide/V1.3.x/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- 丰富的生态环境对接:支持Hadoop、Spark等大数据生态系统组件对接,支持Grafana、Thingsboard、DataEase等设备管理和可视化工具
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## 商业版本
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天谋科技在 Apache IoTDB 的基础上提供了原厂商业化产品 TimechoDB,为企业、商业客户提供企业级产品和服务,它可以解决企业组建物联网大数据平台管理时序数据时所遇到的应用场景复杂、数据体量大、采样频率高、数据乱序多、数据处理耗时长、分析需求多样、存储与运维成本高等多种问题。
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天谋科技基于 TimechoDB 提供更多样的产品功能、更强大的性能和稳定性、更丰富的效能工具,并为用户提供全方位的企业服务,从而为商业化客户提供更强大的产品能力,和更优质的开发、运维、使用体验。
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- 天谋科技官网:https://www.timecho.com/
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- TimechoDB 安装部署与使用文档:[快速上手](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)

src/zh/UserGuide/dev-1.3/IoTDB-Introduction/IoTDB-Introduction_apache.md

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- 丰富的生态环境对接:支持Hadoop、Spark等大数据生态系统组件对接,支持Grafana、Thingsboard、DataEase等设备管理和可视化工具
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## 商业版本
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天谋科技在 Apache IoTDB 的基础上提供了原厂商业化产品 TimechoDB,为企业、商业客户提供企业级产品和服务,它可以解决企业组建物联网大数据平台管理时序数据时所遇到的应用场景复杂、数据体量大、采样频率高、数据乱序多、数据处理耗时长、分析需求多样、存储与运维成本高等多种问题。
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天谋科技基于 TimechoDB 提供更多样的产品功能、更强大的性能和稳定性、更丰富的效能工具,并为用户提供全方位的企业服务,从而为商业化客户提供更强大的产品能力,和更优质的开发、运维、使用体验。
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- 天谋科技官网:https://www.timecho.com/
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- TimechoDB 安装部署与使用文档:[快速上手](https://www.timecho.com/docs/zh/UserGuide/latest/QuickStart/QuickStart_timecho.html)

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