From 7e4989402f92fc45b5e5f99d8ae09d2831b819ce Mon Sep 17 00:00:00 2001 From: briansun Date: Tue, 14 Sep 2021 12:53:14 +0800 Subject: [PATCH] Doc: Fix the English evaluation documentation --- documentation20/en/01.evaluation/docs.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/documentation20/en/01.evaluation/docs.md b/documentation20/en/01.evaluation/docs.md index ecbde8c577..b296ae999f 100644 --- a/documentation20/en/01.evaluation/docs.md +++ b/documentation20/en/01.evaluation/docs.md @@ -6,16 +6,16 @@ TDengine is an innovative Big Data processing product launched by TAOS Data in t One of the modules of TDengine is the time-series database. However, in addition to this, to reduce the complexity of research and development and the difficulty of system operation, TDengine also provides functions such as caching, message queuing, subscription, stream computing, etc. TDengine provides a full-stack technical solution for the processing of IoT and Industrial Internet BigData. It is an efficient and easy-to-use IoT Big Data platform. Compared with typical Big Data platforms such as Hadoop, TDengine has the following distinct characteristics: -- **Performance improvement over 10 times**: An innovative data storage structure is defined, with each single core can process at least 20,000 requests per second, insert millions of data points, and read more than 10 million data points, which is more than 10 times faster than other existing general database. +- **Performance improvement over 10 times**: An innovative data storage structure is defined, with every single core that can process at least 20,000 requests per second, insert millions of data points, and read more than 10 million data points, which is more than 10 times faster than other existing general database. - **Reduce the cost of hardware or cloud services to 1/5**: Due to its ultra-performance, TDengine’s computing resources consumption is less than 1/5 of other common Big Data solutions; through columnar storage and advanced compression algorithms, the storage consumption is less than 1/10 of other general databases. - **Full-stack time-series data processing engine**: Integrate database, message queue, cache, stream computing, and other functions, and the applications do not need to integrate with software such as Kafka/Redis/HBase/Spark/HDFS, thus greatly reducing the complexity cost of application development and maintenance. -- **Highly Available and Horizontal Scalable **: With the distributed architecture and consistency algorithm, via multi-replication and clustering features, TDengine ensures high availability and horizontal scalability to support the mission-critical applications. +- **Highly Available and Horizontal Scalable**: With the distributed architecture and consistency algorithm, via multi-replication and clustering features, TDengine ensures high availability and horizontal scalability to support mission-critical applications. - **Zero operation cost & zero learning cost**: Installing clusters is simple and quick, with real-time backup built-in, and no need to split libraries or tables. Similar to standard SQL, TDengine can support RESTful, Python/Java/C/C++/C#/Go/Node.js, and similar to MySQL with zero learning cost. -- **Core is Open Sourced:** Except some auxiliary features, the core of TDengine is open sourced. Enterprise won't be locked by the database anymore. Ecosystem is more strong, product is more stable, and developer communities are more active. +- **Core is Open Sourced:** Except for some auxiliary features, the core of TDengine is open-sourced. Enterprise won't be locked by the database anymore. The ecosystem is more strong, products are more stable, and developer communities are more active. With TDengine, the total cost of ownership of typical IoT, Internet of Vehicles, and Industrial Internet Big Data platforms can be greatly reduced. However, since it makes full use of the characteristics of IoT time-series data, TDengine cannot be used to process general data from web crawlers, microblogs, WeChat, e-commerce, ERP, CRM, and other sources. -![TDengine Technology Ecosystem](page://images/eco_system.png) +![TDengine Technology Ecosystem](../images/eco_system.png)
Figure 1. TDengine Technology Ecosystem
@@ -62,4 +62,4 @@ From the perspective of data sources, designers can analyze the applicability of | ------------------------------------------------- | ------------------ | ----------------------- | ------------------- | ------------------------------------------------------------ | | Require system with high-reliability | | | √ | TDengine has a very robust and reliable system architecture to implement simple and convenient daily operation with streamlined experiences for operators, thus human errors and accidents are eliminated to the greatest extent. | | Require controllable operation learning cost | | | √ | As above. | -| Require abundant talent supply | √ | | | As a new-generation product, it’s still difficult to find talents with TDengine experiences from market. However, the learning cost is low. As the vendor, we also provide extensive operation training and counselling services. | \ No newline at end of file +| Require abundant talent supply | √ | | | As a new-generation product, it’s still difficult to find talents with TDengine experiences from the market. However, the learning cost is low. As the vendor, we also provide extensive operation training and counseling services. | -- GitLab