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new 0399c8c6 add product architecture to introduction
0399c8c6 is described below
commit 0399c8c6b51f1551d223ad152cd83151fb6f05ed
Author: Xinyi Zhao <[email protected]>
AuthorDate: Wed Nov 27 12:04:40 2024 +0800
add product architecture to introduction
---
.../IoTDB-Introduction_apache.md | 17 +++++++++++++
.../IoTDB-Introduction_timecho.md | 28 ++++++++++++++++++----
.../IoTDB-Introduction_apache.md | 19 ++++++++++++++-
.../IoTDB-Introduction_timecho.md | 28 ++++++++++++++++++----
.../IoTDB-Introduction_apache.md | 17 +++++++++++++
.../IoTDB-Introduction_timecho.md | 28 ++++++++++++++++++----
.../IoTDB-Introduction_apache.md | 16 +++++++++++++
.../IoTDB-Introduction_timecho.md | 17 +++++++++++++
.../IoTDB-Introduction_apache.md | 16 +++++++++++++
.../IoTDB-Introduction_timecho.md | 17 +++++++++++++
.../IoTDB-Introduction_apache.md | 16 +++++++++++++
.../IoTDB-Introduction_timecho.md | 17 +++++++++++++
12 files changed, 220 insertions(+), 16 deletions(-)
diff --git
a/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
b/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
index 82e698cb..e783f74b 100644
--- a/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
+++ b/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
@@ -29,6 +29,23 @@ Apache IoTDB is a low-cost, high-performance native temporal
database for the In
- Installation, deployment, and usage documentation:
[QuickStart](../QuickStart/QuickStart_apache.md)
+
+## Product Components
+
+IoTDB products consist of several components that help users efficiently
manage and analyze the massive amount of time-series data generated by the IoT.
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-en-apache.png";
alt="Introduction-en-timecho.png" style="width: 90%;"/>
+
+</div>
+
+1. Time-series Database (Apache IoTDB): The core component for time-series
data storage, it provides users with high-compression storage capabilities,
rich time-series querying capabilities, real-time stream processing
capabilities, and ensures high availability of data and high scalability of
clusters. It also offers comprehensive security protection. Additionally, IoTDB
provides users with a variety of application tools for easy configuration and
management of the system; multi-languag [...]
+
+2. Time-series Data Standard File Format (Apache TsFile): This file format is
specifically designed for time-series data and can efficiently store and query
massive amounts of time-series data. Currently, the underlying storage files
for modules such as IoTDB and AINode are supported by Apache TsFile. With
TsFile, users can uniformly use the same file format for data management during
the collection, management, application, and analysis phases, greatly
simplifying the entire process fro [...]
+
+3. Time-series Model Training and Inference Integrated Engine (IoTDB AINode):
For intelligent analysis scenarios, IoTDB provides the AINode time-series model
training and inference integrated engine, which offers a complete set of
time-series data analysis tools. The underlying engine supports model training
tasks and data management, including machine learning and deep learning. With
these tools, users can conduct in-depth analysis of the data stored in IoTDB
and extract its value.
+
+
## Product Features
TimechoDB has the following advantages and characteristics:
diff --git
a/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
b/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
index 08bc991e..f4866314 100644
--- a/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
+++ b/src/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
@@ -19,7 +19,7 @@
-->
-# What is IoTDB
+# What is TimechoDB
TimechoDB is a low-cost, high-performance native temporal database for the
Internet of Things, provided by Timecho based on the Apache IoTDB community
version as an original commercial product. 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, a [...]
@@ -27,6 +27,24 @@ Timecho provides a more diverse range of product features,
stronger performance
- Download 、Deployment and
Usage：[QuickStart](../QuickStart/QuickStart_timecho.md)
+
+## Product Components
+
+Timecho products is composed of several components, covering the entire
time-series data lifecycle from data collection, data management to data
analysis & application, helping users efficiently manage and analyze the
massive amount of time-series data generated by the IoT.
+
+<div style="text-align: center;">
+ <img
src="https://alioss.timecho.com/docs/img/Introduction-en-timecho-new.png";
alt="Introduction-en-timecho-new.png" style="width: 70%;"/>
+
+</div>
+
+1. **Time-series database (TimechoDB, a commercial product based on Apache
IoTDB provided by the original team)**: The core component of time-series data
storage, which can provide users with high-compression storage capabilities,
rich time-series query capabilities, real-time stream processing capabilities,
while also having high availability of data and high scalability of clusters,
and providing security protection. At the same time, TimechoDB also provides
users with a variety of app [...]
+
+2. **Time-series data standard file format (Apache TsFile, led and contributed
by core team members of Timecho)**: This file format is a storage format
specifically designed for time-series data, which can efficiently store and
query massive amounts of time-series data. Currently, the underlying storage
files of Timecho's collection, storage, and intelligent analysis modules are
all supported by Apache TsFile. TsFile can be efficiently loaded into TimechoDB
and can also be migrated out. [...]
+
+3. **Time-series model training and inference integrated engine (AINode)**:
For intelligent analysis scenarios, TimechoDB provides the AINode time-series
model training and inference integrated engine, which offers a complete set of
time-series data analysis tools, with the underlying model training engine
supporting training tasks and data management, including machine learning, deep
learning, etc. With these tools, users can conduct in-depth analysis of the
data stored in TimechoDB and [...]
+
+4. **Data collection**: To more conveniently dock with various industrial
collection scenarios, Timecho provides data collection access services,
supporting multiple protocols and formats, which can access data generated by
various sensors and devices, while also supporting features such as breakpoint
resumption and network barrier penetration. It is more adapted to the
characteristics of difficult configuration, slow transmission, and weak network
in the industrial field collection proc [...]
+
## Product Features
TimechoDB has the following advantages and characteristics:
@@ -198,14 +216,14 @@ TimechoDB has optimized stability and performance on the
basis of the open sourc
### More User-Friendly Tool System
-TimechoDB will provide users with a simpler and more user-friendly tool
system. Through products such as the Cluster Monitoring Panel (IoTDB Grafana),
Database Console (IoTDB Workbench), and Cluster Management Tool (IoTDB Deploy
Tool, abbreviated as IoTD), it will help users quickly deploy, manage, and
monitor database clusters, reduce the work/learning costs of operation and
maintenance personnel, simplify database operation and maintenance work, and
make the operation and maintenance p [...]
+TimechoDB will provide users with a simpler and more user-friendly tool
system. Through products such as the Cluster Monitoring Panel (Grafana),
Database Console (Workbench), and Cluster Management Tool (Deploy Tool,
abbreviated as IoTD), it will help users quickly deploy, manage, and monitor
database clusters, reduce the work/learning costs of operation and maintenance
personnel, simplify database operation and maintenance work, and make the
operation and maintenance process more conven [...]
-- Cluster Monitoring Panel: Designed to address the monitoring issues of IoTDB
and its operating system, including operating system resource monitoring, IoTDB
performance monitoring, and hundreds of kernel monitoring indicators, to help
users monitor the health status of the cluster and perform cluster tuning and
operation.
+- Cluster Monitoring Panel: Designed to address the monitoring issues of
TimechoDB and its operating system, including operating system resource
monitoring, TimechoDB performance monitoring, and hundreds of kernel monitoring
indicators, to help users monitor the health status of the cluster and perform
cluster tuning and operation.
<div style="display: flex; justify-content: space-between; width: 100%;">
<p style="width: 30%; text-align: center;">Overall Overview</p>
<p style="width: 30%; text-align: center;">Operating System Resource
Monitoring</p>
- <p style="width: 30%; text-align: center;">IoTDB Performance Monitoring</p>
+ <p style="width: 30%; text-align: center;">TimechoDB Performance
Monitoring</p>
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<img src="https://alioss.timecho.com/docs/img/Introduction01.png"; alt=""
style="width: 30%; height: auto;">
@@ -239,7 +257,7 @@ TimechoDB will provide users with a simpler and more
user-friendly tool system.
### More professional enterprise technical services
-TimechoDB customers provide powerful original factory services, including but
not limited to on-site installation and training, expert consultant
consultation, on-site emergency assistance, software upgrades, online
self-service, remote support, and guidance on using the latest development
version. At the same time, in order to make IoTDB more suitable for industrial
production scenarios, we will recommend modeling solutions, optimize read-write
performance, optimize compression ratios, [...]
+TimechoDB customers provide powerful original factory services, including but
not limited to on-site installation and training, expert consultant
consultation, on-site emergency assistance, software upgrades, online
self-service, remote support, and guidance on using the latest development
version. At the same time, in order to make TimechoDB more suitable for
industrial production scenarios, we will recommend modeling solutions, optimize
read-write performance, optimize compression rati [...]
Compared to the open source version, TimechoDB provides a faster release
frequency every 2-3 months. At the same time, it offers day level exclusive
fixes for urgent customer issues to ensure stable production environments.
diff --git
a/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
b/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
index 287e54cd..e783f74b 100644
--- a/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
+++ b/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
@@ -27,7 +27,24 @@ Apache IoTDB is a low-cost, high-performance native temporal
database for the In
- Open source installation package download:
https://iotdb.apache.org/zh/Download/
-- Installation, deployment, and usage documentation:
[QuickStart](../QuickStart/QuickStart_apache.md)
+- Installation, deployment, and usage documentation:
[QuickStart](../QuickStart/QuickStart_apache.md)
+
+
+## Product Components
+
+IoTDB products consist of several components that help users efficiently
manage and analyze the massive amount of time-series data generated by the IoT.
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-en-apache.png";
alt="Introduction-en-timecho.png" style="width: 90%;"/>
+
+</div>
+
+1. Time-series Database (Apache IoTDB): The core component for time-series
data storage, it provides users with high-compression storage capabilities,
rich time-series querying capabilities, real-time stream processing
capabilities, and ensures high availability of data and high scalability of
clusters. It also offers comprehensive security protection. Additionally, IoTDB
provides users with a variety of application tools for easy configuration and
management of the system; multi-languag [...]
+
+2. Time-series Data Standard File Format (Apache TsFile): This file format is
specifically designed for time-series data and can efficiently store and query
massive amounts of time-series data. Currently, the underlying storage files
for modules such as IoTDB and AINode are supported by Apache TsFile. With
TsFile, users can uniformly use the same file format for data management during
the collection, management, application, and analysis phases, greatly
simplifying the entire process fro [...]
+
+3. Time-series Model Training and Inference Integrated Engine (IoTDB AINode):
For intelligent analysis scenarios, IoTDB provides the AINode time-series model
training and inference integrated engine, which offers a complete set of
time-series data analysis tools. The underlying engine supports model training
tasks and data management, including machine learning and deep learning. With
these tools, users can conduct in-depth analysis of the data stored in IoTDB
and extract its value.
+
## Product Features
diff --git
a/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
b/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
index 08bc991e..f4866314 100644
--- a/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
+++ b/src/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
@@ -19,7 +19,7 @@
-->
-# What is IoTDB
+# What is TimechoDB
TimechoDB is a low-cost, high-performance native temporal database for the
Internet of Things, provided by Timecho based on the Apache IoTDB community
version as an original commercial product. 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, a [...]
@@ -27,6 +27,24 @@ Timecho provides a more diverse range of product features,
stronger performance
- Download 、Deployment and
Usage：[QuickStart](../QuickStart/QuickStart_timecho.md)
+
+## Product Components
+
+Timecho products is composed of several components, covering the entire
time-series data lifecycle from data collection, data management to data
analysis & application, helping users efficiently manage and analyze the
massive amount of time-series data generated by the IoT.
+
+<div style="text-align: center;">
+ <img
src="https://alioss.timecho.com/docs/img/Introduction-en-timecho-new.png";
alt="Introduction-en-timecho-new.png" style="width: 70%;"/>
+
+</div>
+
+1. **Time-series database (TimechoDB, a commercial product based on Apache
IoTDB provided by the original team)**: The core component of time-series data
storage, which can provide users with high-compression storage capabilities,
rich time-series query capabilities, real-time stream processing capabilities,
while also having high availability of data and high scalability of clusters,
and providing security protection. At the same time, TimechoDB also provides
users with a variety of app [...]
+
+2. **Time-series data standard file format (Apache TsFile, led and contributed
by core team members of Timecho)**: This file format is a storage format
specifically designed for time-series data, which can efficiently store and
query massive amounts of time-series data. Currently, the underlying storage
files of Timecho's collection, storage, and intelligent analysis modules are
all supported by Apache TsFile. TsFile can be efficiently loaded into TimechoDB
and can also be migrated out. [...]
+
+3. **Time-series model training and inference integrated engine (AINode)**:
For intelligent analysis scenarios, TimechoDB provides the AINode time-series
model training and inference integrated engine, which offers a complete set of
time-series data analysis tools, with the underlying model training engine
supporting training tasks and data management, including machine learning, deep
learning, etc. With these tools, users can conduct in-depth analysis of the
data stored in TimechoDB and [...]
+
+4. **Data collection**: To more conveniently dock with various industrial
collection scenarios, Timecho provides data collection access services,
supporting multiple protocols and formats, which can access data generated by
various sensors and devices, while also supporting features such as breakpoint
resumption and network barrier penetration. It is more adapted to the
characteristics of difficult configuration, slow transmission, and weak network
in the industrial field collection proc [...]
+
## Product Features
TimechoDB has the following advantages and characteristics:
@@ -198,14 +216,14 @@ TimechoDB has optimized stability and performance on the
basis of the open sourc
### More User-Friendly Tool System
-TimechoDB will provide users with a simpler and more user-friendly tool
system. Through products such as the Cluster Monitoring Panel (IoTDB Grafana),
Database Console (IoTDB Workbench), and Cluster Management Tool (IoTDB Deploy
Tool, abbreviated as IoTD), it will help users quickly deploy, manage, and
monitor database clusters, reduce the work/learning costs of operation and
maintenance personnel, simplify database operation and maintenance work, and
make the operation and maintenance p [...]
+TimechoDB will provide users with a simpler and more user-friendly tool
system. Through products such as the Cluster Monitoring Panel (Grafana),
Database Console (Workbench), and Cluster Management Tool (Deploy Tool,
abbreviated as IoTD), it will help users quickly deploy, manage, and monitor
database clusters, reduce the work/learning costs of operation and maintenance
personnel, simplify database operation and maintenance work, and make the
operation and maintenance process more conven [...]
-- Cluster Monitoring Panel: Designed to address the monitoring issues of IoTDB
and its operating system, including operating system resource monitoring, IoTDB
performance monitoring, and hundreds of kernel monitoring indicators, to help
users monitor the health status of the cluster and perform cluster tuning and
operation.
+- Cluster Monitoring Panel: Designed to address the monitoring issues of
TimechoDB and its operating system, including operating system resource
monitoring, TimechoDB performance monitoring, and hundreds of kernel monitoring
indicators, to help users monitor the health status of the cluster and perform
cluster tuning and operation.
<div style="display: flex; justify-content: space-between; width: 100%;">
<p style="width: 30%; text-align: center;">Overall Overview</p>
<p style="width: 30%; text-align: center;">Operating System Resource
Monitoring</p>
- <p style="width: 30%; text-align: center;">IoTDB Performance Monitoring</p>
+ <p style="width: 30%; text-align: center;">TimechoDB Performance
Monitoring</p>
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<img src="https://alioss.timecho.com/docs/img/Introduction01.png"; alt=""
style="width: 30%; height: auto;">
@@ -239,7 +257,7 @@ TimechoDB will provide users with a simpler and more
user-friendly tool system.
### More professional enterprise technical services
-TimechoDB customers provide powerful original factory services, including but
not limited to on-site installation and training, expert consultant
consultation, on-site emergency assistance, software upgrades, online
self-service, remote support, and guidance on using the latest development
version. At the same time, in order to make IoTDB more suitable for industrial
production scenarios, we will recommend modeling solutions, optimize read-write
performance, optimize compression ratios, [...]
+TimechoDB customers provide powerful original factory services, including but
not limited to on-site installation and training, expert consultant
consultation, on-site emergency assistance, software upgrades, online
self-service, remote support, and guidance on using the latest development
version. At the same time, in order to make TimechoDB more suitable for
industrial production scenarios, we will recommend modeling solutions, optimize
read-write performance, optimize compression rati [...]
Compared to the open source version, TimechoDB provides a faster release
frequency every 2-3 months. At the same time, it offers day level exclusive
fixes for urgent customer issues to ensure stable production environments.
diff --git
a/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
b/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
index 82e698cb..e783f74b 100644
--- a/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
+++ b/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
@@ -29,6 +29,23 @@ Apache IoTDB is a low-cost, high-performance native temporal
database for the In
- Installation, deployment, and usage documentation:
[QuickStart](../QuickStart/QuickStart_apache.md)
+
+## Product Components
+
+IoTDB products consist of several components that help users efficiently
manage and analyze the massive amount of time-series data generated by the IoT.
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-en-apache.png";
alt="Introduction-en-timecho.png" style="width: 90%;"/>
+
+</div>
+
+1. Time-series Database (Apache IoTDB): The core component for time-series
data storage, it provides users with high-compression storage capabilities,
rich time-series querying capabilities, real-time stream processing
capabilities, and ensures high availability of data and high scalability of
clusters. It also offers comprehensive security protection. Additionally, IoTDB
provides users with a variety of application tools for easy configuration and
management of the system; multi-languag [...]
+
+2. Time-series Data Standard File Format (Apache TsFile): This file format is
specifically designed for time-series data and can efficiently store and query
massive amounts of time-series data. Currently, the underlying storage files
for modules such as IoTDB and AINode are supported by Apache TsFile. With
TsFile, users can uniformly use the same file format for data management during
the collection, management, application, and analysis phases, greatly
simplifying the entire process fro [...]
+
+3. Time-series Model Training and Inference Integrated Engine (IoTDB AINode):
For intelligent analysis scenarios, IoTDB provides the AINode time-series model
training and inference integrated engine, which offers a complete set of
time-series data analysis tools. The underlying engine supports model training
tasks and data management, including machine learning and deep learning. With
these tools, users can conduct in-depth analysis of the data stored in IoTDB
and extract its value.
+
+
## Product Features
TimechoDB has the following advantages and characteristics:
diff --git
a/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
b/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
index 08bc991e..f4866314 100644
--- a/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
+++ b/src/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
@@ -19,7 +19,7 @@
-->
-# What is IoTDB
+# What is TimechoDB
TimechoDB is a low-cost, high-performance native temporal database for the
Internet of Things, provided by Timecho based on the Apache IoTDB community
version as an original commercial product. 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, a [...]
@@ -27,6 +27,24 @@ Timecho provides a more diverse range of product features,
stronger performance
- Download 、Deployment and
Usage：[QuickStart](../QuickStart/QuickStart_timecho.md)
+
+## Product Components
+
+Timecho products is composed of several components, covering the entire
time-series data lifecycle from data collection, data management to data
analysis & application, helping users efficiently manage and analyze the
massive amount of time-series data generated by the IoT.
+
+<div style="text-align: center;">
+ <img
src="https://alioss.timecho.com/docs/img/Introduction-en-timecho-new.png";
alt="Introduction-en-timecho-new.png" style="width: 70%;"/>
+
+</div>
+
+1. **Time-series database (TimechoDB, a commercial product based on Apache
IoTDB provided by the original team)**: The core component of time-series data
storage, which can provide users with high-compression storage capabilities,
rich time-series query capabilities, real-time stream processing capabilities,
while also having high availability of data and high scalability of clusters,
and providing security protection. At the same time, TimechoDB also provides
users with a variety of app [...]
+
+2. **Time-series data standard file format (Apache TsFile, led and contributed
by core team members of Timecho)**: This file format is a storage format
specifically designed for time-series data, which can efficiently store and
query massive amounts of time-series data. Currently, the underlying storage
files of Timecho's collection, storage, and intelligent analysis modules are
all supported by Apache TsFile. TsFile can be efficiently loaded into TimechoDB
and can also be migrated out. [...]
+
+3. **Time-series model training and inference integrated engine (AINode)**:
For intelligent analysis scenarios, TimechoDB provides the AINode time-series
model training and inference integrated engine, which offers a complete set of
time-series data analysis tools, with the underlying model training engine
supporting training tasks and data management, including machine learning, deep
learning, etc. With these tools, users can conduct in-depth analysis of the
data stored in TimechoDB and [...]
+
+4. **Data collection**: To more conveniently dock with various industrial
collection scenarios, Timecho provides data collection access services,
supporting multiple protocols and formats, which can access data generated by
various sensors and devices, while also supporting features such as breakpoint
resumption and network barrier penetration. It is more adapted to the
characteristics of difficult configuration, slow transmission, and weak network
in the industrial field collection proc [...]
+
## Product Features
TimechoDB has the following advantages and characteristics:
@@ -198,14 +216,14 @@ TimechoDB has optimized stability and performance on the
basis of the open sourc
### More User-Friendly Tool System
-TimechoDB will provide users with a simpler and more user-friendly tool
system. Through products such as the Cluster Monitoring Panel (IoTDB Grafana),
Database Console (IoTDB Workbench), and Cluster Management Tool (IoTDB Deploy
Tool, abbreviated as IoTD), it will help users quickly deploy, manage, and
monitor database clusters, reduce the work/learning costs of operation and
maintenance personnel, simplify database operation and maintenance work, and
make the operation and maintenance p [...]
+TimechoDB will provide users with a simpler and more user-friendly tool
system. Through products such as the Cluster Monitoring Panel (Grafana),
Database Console (Workbench), and Cluster Management Tool (Deploy Tool,
abbreviated as IoTD), it will help users quickly deploy, manage, and monitor
database clusters, reduce the work/learning costs of operation and maintenance
personnel, simplify database operation and maintenance work, and make the
operation and maintenance process more conven [...]
-- Cluster Monitoring Panel: Designed to address the monitoring issues of IoTDB
and its operating system, including operating system resource monitoring, IoTDB
performance monitoring, and hundreds of kernel monitoring indicators, to help
users monitor the health status of the cluster and perform cluster tuning and
operation.
+- Cluster Monitoring Panel: Designed to address the monitoring issues of
TimechoDB and its operating system, including operating system resource
monitoring, TimechoDB performance monitoring, and hundreds of kernel monitoring
indicators, to help users monitor the health status of the cluster and perform
cluster tuning and operation.
<div style="display: flex; justify-content: space-between; width: 100%;">
<p style="width: 30%; text-align: center;">Overall Overview</p>
<p style="width: 30%; text-align: center;">Operating System Resource
Monitoring</p>
- <p style="width: 30%; text-align: center;">IoTDB Performance Monitoring</p>
+ <p style="width: 30%; text-align: center;">TimechoDB Performance
Monitoring</p>
</div>
<div style="display: flex; justify-content: space-between; width: 100%;">
<img src="https://alioss.timecho.com/docs/img/Introduction01.png"; alt=""
style="width: 30%; height: auto;">
@@ -239,7 +257,7 @@ TimechoDB will provide users with a simpler and more
user-friendly tool system.
### More professional enterprise technical services
-TimechoDB customers provide powerful original factory services, including but
not limited to on-site installation and training, expert consultant
consultation, on-site emergency assistance, software upgrades, online
self-service, remote support, and guidance on using the latest development
version. At the same time, in order to make IoTDB more suitable for industrial
production scenarios, we will recommend modeling solutions, optimize read-write
performance, optimize compression ratios, [...]
+TimechoDB customers provide powerful original factory services, including but
not limited to on-site installation and training, expert consultant
consultation, on-site emergency assistance, software upgrades, online
self-service, remote support, and guidance on using the latest development
version. At the same time, in order to make TimechoDB more suitable for
industrial production scenarios, we will recommend modeling solutions, optimize
read-write performance, optimize compression rati [...]
Compared to the open source version, TimechoDB provides a faster release
frequency every 2-3 months. At the same time, it offers day level exclusive
fixes for urgent customer issues to ensure stable production environments.
diff --git
a/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
b/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
index c9bdc31a..2fc38471 100644
---
a/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
+++
b/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_apache.md
@@ -29,6 +29,22 @@ Apache IoTDB 是一款低成本、高性能的物联网原生时序数据库。
- 安装部署与使用文档：[快速上手](../QuickStart/QuickStart_apache.md)
+
+## 产品体系
+
+IoTDB 体系由若干个组件构成，帮助用户高效地管理和分析物联网产生的海量时序数据。
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-zh-apache.png";
alt="Introduction-zh-apache.png" style="width: 90%;"/>
+</div>
+
+其中：
+
+1. **时序数据库（Apache
IoTDB）**：时序数据存储的核心组件，其能够为用户提供高压缩存储能力、丰富时序查询能力、实时流处理能力，同时具备数据的高可用和集群的高扩展性，并在安全层面提供全方位保障。同时
TimechoDB 还为用户提供多种应用工具，方便用户配置和管理系统；多语言API和外部系统应用集成能力，方便用户在 TimechoDB 基础上构建业务应用。
+2. **时序数据标准文件格式（Apache TsFile）**：该文件格式是一种专为时序数据设计的存储格式，可以高效地存储和查询海量时序数据。目前
IoTDB、AINode 等模块的底层存储文件均由 Apache TsFile 进行支撑。通过
TsFile，用户可以在采集、管理、应用&分析阶段统一使用相同的文件格式进行数据管理，极大简化了数据采集到分析的整个流程，提高时序数据管理的效率和便捷度。
+3. **时序模型训推一体化引擎（IoTDB AINode）**：针对智能分析场景，IoTDB 提供 AINode
时序模型训推一体化引擎，它提供了一套完整的时序数据分析工具，底层为模型训练引擎，支持训练任务与数据管理，与包括机器学习、深度学习等。通过这些工具，用户可以对存储在
IoTDB 中的数据进行深入分析，挖掘出其中的价值。
+
+
## 产品特性
Apache IoTDB 具备以下优势和特性：
diff --git
a/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
b/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
index 0842a4d9..b5fa25b2 100644
---
a/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
+++
b/src/zh/UserGuide/Master/Tree/IoTDB-Introduction/IoTDB-Introduction_timecho.md
@@ -27,6 +27,23 @@ TimechoDB 是一款低成本、高性能的物联网原生时序数据库，是
- 下载、部署与使用：[快速上手](../QuickStart/QuickStart_timecho.md)
+## 产品体系
+
+天谋产品体系由若干个组件构成，覆盖由【数据采集】到【数据管理】到【数据分析&应用】的全时序数据生命周期，做到“采-存-用”一体化时序数据解决方案，帮助用户高效地管理和分析物联网产生的海量时序数据。
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-zh-timecho.png";
alt="Introduction-zh-timecho.png" style="width: 70%;"/>
+</div>
+
+
+其中：
+
+1. **时序数据库（TimechoDB，基于 Apache IoTDB
提供的原厂商业化产品）**：时序数据存储的核心组件，其能够为用户提供高压缩存储能力、丰富时序查询能力、实时流处理能力，同时具备数据的高可用和集群的高扩展性，并在安全层面提供全方位保障。同时
TimechoDB 还为用户提供多种应用工具，方便用户配置和管理系统；多语言API和外部系统应用集成能力，方便用户在 TimechoDB 基础上构建业务应用。
+2. **时序数据标准文件格式（Apache
TsFile，多位天谋科技核心团队成员主导&贡献代码）**：该文件格式是一种专为时序数据设计的存储格式，可以高效地存储和查询海量时序数据。目前 Timecho
采集、存储、智能分析等模块的底层存储文件均由 Apache TsFile 进行支撑。TsFile 可以被高效地加载至 IoTDB 中，也能够被迁移出来。通过
TsFile，用户可以在采集、管理、应用&分析阶段统一使用相同的文件格式进行数据管理，极大简化了数据采集到分析的整个流程，提高时序数据管理的效率和便捷度。
+3. **时序模型训推一体化引擎（AINode）**：针对智能分析场景，TimechoDB 提供 AINode
时序模型训推一体化引擎，它提供了一套完整的时序数据分析工具，底层为模型训练引擎，支持训练任务与数据管理，与包括机器学习、深度学习等。通过这些工具，用户可以对存储在
TimechoDB 中的数据进行深入分析，挖掘出其中的价值。
+4. **数据采集**：为了更加便捷的对接各类工业采集场景，
天谋科技提供数据采集接入服务，支持多种协议和格式，可以接入各种传感器、设备产生的数据，同时支持断点续传、网闸穿透等特性。更加适配工业领域采集过程中配置难、传输慢、网络弱的特点，让用户的数采变得更加简单、高效。
+
+
## 产品特性
TimechoDB 具备以下优势和特性：
diff --git
a/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
b/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
index c9bdc31a..4ae9c662 100644
--- a/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
+++ b/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_apache.md
@@ -29,6 +29,22 @@ Apache IoTDB 是一款低成本、高性能的物联网原生时序数据库。
- 安装部署与使用文档：[快速上手](../QuickStart/QuickStart_apache.md)
+
+## 产品体系
+
+IoTDB 体系由若干个组件构成，帮助用户高效地管理和分析物联网产生的海量时序数据。
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-zh-apache.png";
alt="Introduction-zh-apache.png" style="width: 90%;"/>
+</div>
+
+其中：
+
+1. **时序数据库（Apache
IoTDB）**：时序数据存储的核心组件，其能够为用户提供高压缩存储能力、丰富时序查询能力、实时流处理能力，同时具备数据的高可用和集群的高扩展性，并在安全层面提供全方位保障。同时
IoTDB 还为用户提供多种应用工具，方便用户配置和管理系统；多语言API和外部系统应用集成能力，方便用户在 IoTDB 基础上构建业务应用。
+2. **时序数据标准文件格式（Apache TsFile）**：该文件格式是一种专为时序数据设计的存储格式，可以高效地存储和查询海量时序数据。目前
IoTDB、AINode 等模块的底层存储文件均由 Apache TsFile 进行支撑。通过
TsFile，用户可以在采集、管理、应用&分析阶段统一使用相同的文件格式进行数据管理，极大简化了数据采集到分析的整个流程，提高时序数据管理的效率和便捷度。
+3. **时序模型训推一体化引擎（IoTDB AINode）**：针对智能分析场景，IoTDB 提供 AINode
时序模型训推一体化引擎，它提供了一套完整的时序数据分析工具，底层为模型训练引擎，支持训练任务与数据管理，与包括机器学习、深度学习等。通过这些工具，用户可以对存储在
IoTDB 中的数据进行深入分析，挖掘出其中的价值。
+
+
## 产品特性
Apache IoTDB 具备以下优势和特性：
diff --git
a/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
b/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
index 0842a4d9..9c73e8f5 100644
--- a/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
+++ b/src/zh/UserGuide/V1.3.0-2/IoTDB-Introduction/IoTDB-Introduction_timecho.md
@@ -27,6 +27,23 @@ TimechoDB 是一款低成本、高性能的物联网原生时序数据库，是
- 下载、部署与使用：[快速上手](../QuickStart/QuickStart_timecho.md)
+## 产品体系
+
+天谋产品体系由若干个组件构成，覆盖由【数据采集】到【数据管理】到【数据分析&应用】的全时序数据生命周期，做到“采-存-用”一体化时序数据解决方案，帮助用户高效地管理和分析物联网产生的海量时序数据。
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-zh-timecho.png";
alt="Introduction-zh-timecho.png" style="width: 70%;"/>
+</div>
+
+
+其中：
+
+1. **时序数据库（TimechoDB，基于 Apache IoTDB
提供的原厂商业化产品）**：时序数据存储的核心组件，其能够为用户提供高压缩存储能力、丰富时序查询能力、实时流处理能力，同时具备数据的高可用和集群的高扩展性，并在安全层面提供全方位保障。同时
TimechoDB 还为用户提供多种应用工具，方便用户配置和管理系统；多语言API和外部系统应用集成能力，方便用户在 TimechoDB 基础上构建业务应用。
+2. **时序数据标准文件格式（Apache
TsFile，多位天谋科技核心团队成员主导&贡献代码）**：该文件格式是一种专为时序数据设计的存储格式，可以高效地存储和查询海量时序数据。目前 Timecho
采集、存储、智能分析等模块的底层存储文件均由 Apache TsFile 进行支撑。TsFile 可以被高效地加载至 TimechoDB
中，也能够被迁移出来。通过
TsFile，用户可以在采集、管理、应用&分析阶段统一使用相同的文件格式进行数据管理，极大简化了数据采集到分析的整个流程，提高时序数据管理的效率和便捷度。
+3. **时序模型训推一体化引擎（AINode）**：针对智能分析场景，TimechoDB 提供 AINode
时序模型训推一体化引擎，它提供了一套完整的时序数据分析工具，底层为模型训练引擎，支持训练任务与数据管理，与包括机器学习、深度学习等。通过这些工具，用户可以对存储在
TimechoDB 中的数据进行深入分析，挖掘出其中的价值。
+4. **数据采集**：为了更加便捷的对接各类工业采集场景，
天谋科技提供数据采集接入服务，支持多种协议和格式，可以接入各种传感器、设备产生的数据，同时支持断点续传、网闸穿透等特性。更加适配工业领域采集过程中配置难、传输慢、网络弱的特点，让用户的数采变得更加简单、高效。
+
+
## 产品特性
TimechoDB 具备以下优势和特性：
diff --git
a/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
b/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
index c9bdc31a..2fc38471 100644
--- a/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
+++ b/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_apache.md
@@ -29,6 +29,22 @@ Apache IoTDB 是一款低成本、高性能的物联网原生时序数据库。
- 安装部署与使用文档：[快速上手](../QuickStart/QuickStart_apache.md)
+
+## 产品体系
+
+IoTDB 体系由若干个组件构成，帮助用户高效地管理和分析物联网产生的海量时序数据。
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-zh-apache.png";
alt="Introduction-zh-apache.png" style="width: 90%;"/>
+</div>
+
+其中：
+
+1. **时序数据库（Apache
IoTDB）**：时序数据存储的核心组件，其能够为用户提供高压缩存储能力、丰富时序查询能力、实时流处理能力，同时具备数据的高可用和集群的高扩展性，并在安全层面提供全方位保障。同时
TimechoDB 还为用户提供多种应用工具，方便用户配置和管理系统；多语言API和外部系统应用集成能力，方便用户在 TimechoDB 基础上构建业务应用。
+2. **时序数据标准文件格式（Apache TsFile）**：该文件格式是一种专为时序数据设计的存储格式，可以高效地存储和查询海量时序数据。目前
IoTDB、AINode 等模块的底层存储文件均由 Apache TsFile 进行支撑。通过
TsFile，用户可以在采集、管理、应用&分析阶段统一使用相同的文件格式进行数据管理，极大简化了数据采集到分析的整个流程，提高时序数据管理的效率和便捷度。
+3. **时序模型训推一体化引擎（IoTDB AINode）**：针对智能分析场景，IoTDB 提供 AINode
时序模型训推一体化引擎，它提供了一套完整的时序数据分析工具，底层为模型训练引擎，支持训练任务与数据管理，与包括机器学习、深度学习等。通过这些工具，用户可以对存储在
IoTDB 中的数据进行深入分析，挖掘出其中的价值。
+
+
## 产品特性
Apache IoTDB 具备以下优势和特性：
diff --git
a/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
b/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
index 0842a4d9..b5fa25b2 100644
--- a/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
+++ b/src/zh/UserGuide/latest/IoTDB-Introduction/IoTDB-Introduction_timecho.md
@@ -27,6 +27,23 @@ TimechoDB 是一款低成本、高性能的物联网原生时序数据库，是
- 下载、部署与使用：[快速上手](../QuickStart/QuickStart_timecho.md)
+## 产品体系
+
+天谋产品体系由若干个组件构成，覆盖由【数据采集】到【数据管理】到【数据分析&应用】的全时序数据生命周期，做到“采-存-用”一体化时序数据解决方案，帮助用户高效地管理和分析物联网产生的海量时序数据。
+
+<div style="text-align: center;">
+ <img src="https://alioss.timecho.com/docs/img/Introduction-zh-timecho.png";
alt="Introduction-zh-timecho.png" style="width: 70%;"/>
+</div>
+
+
+其中：
+
+1. **时序数据库（TimechoDB，基于 Apache IoTDB
提供的原厂商业化产品）**：时序数据存储的核心组件，其能够为用户提供高压缩存储能力、丰富时序查询能力、实时流处理能力，同时具备数据的高可用和集群的高扩展性，并在安全层面提供全方位保障。同时
TimechoDB 还为用户提供多种应用工具，方便用户配置和管理系统；多语言API和外部系统应用集成能力，方便用户在 TimechoDB 基础上构建业务应用。
+2. **时序数据标准文件格式（Apache
TsFile，多位天谋科技核心团队成员主导&贡献代码）**：该文件格式是一种专为时序数据设计的存储格式，可以高效地存储和查询海量时序数据。目前 Timecho
采集、存储、智能分析等模块的底层存储文件均由 Apache TsFile 进行支撑。TsFile 可以被高效地加载至 IoTDB 中，也能够被迁移出来。通过
TsFile，用户可以在采集、管理、应用&分析阶段统一使用相同的文件格式进行数据管理，极大简化了数据采集到分析的整个流程，提高时序数据管理的效率和便捷度。
+3. **时序模型训推一体化引擎（AINode）**：针对智能分析场景，TimechoDB 提供 AINode
时序模型训推一体化引擎，它提供了一套完整的时序数据分析工具，底层为模型训练引擎，支持训练任务与数据管理，与包括机器学习、深度学习等。通过这些工具，用户可以对存储在
TimechoDB 中的数据进行深入分析，挖掘出其中的价值。
+4. **数据采集**：为了更加便捷的对接各类工业采集场景，
天谋科技提供数据采集接入服务，支持多种协议和格式，可以接入各种传感器、设备产生的数据，同时支持断点续传、网闸穿透等特性。更加适配工业领域采集过程中配置难、传输慢、网络弱的特点，让用户的数采变得更加简单、高效。
+
+
## 产品特性
TimechoDB 具备以下优势和特性：
![https://alioss.timecho.com/docs/img/Introduction-en-apache.png"](https://alioss.timecho.com/docs/img/Introduction-en-apache.png"){kind=link}
![https://alioss.timecho.com/docs/img/Introduction-en-timecho-new.png"](https://alioss.timecho.com/docs/img/Introduction-en-timecho-new.png"){kind=link}
![https://alioss.timecho.com/docs/img/Introduction01.png"](https://alioss.timecho.com/docs/img/Introduction01.png"){kind=link}
![https://alioss.timecho.com/docs/img/Introduction-zh-apache.png"](https://alioss.timecho.com/docs/img/Introduction-zh-apache.png"){kind=link}
![https://alioss.timecho.com/docs/img/Introduction-zh-timecho.png"](https://alioss.timecho.com/docs/img/Introduction-zh-timecho.png"){kind=link}