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sargentti authored Sep 29, 2019
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Expand Up @@ -7,11 +7,11 @@ English | [中文](docs/zh_CN/README.md)

## Introduction

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, HBase ...), exposes various interfaces(REST, WebSocket, Java ...), with multi-tenancy, high performance, and resource control.
Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

Linkis connects with computation/storage engines(Spark, Hive, Python and HBase), exposes REST/WS interface, and executes multi-language jobs(SQL, Pyspark, HiveQL and Scala), as a data middleware.

Based on the microservices architecture, Linkis provides enterprise-level features of financial-level multi-tenant isolation, resource management and access control. It also offers convenient support to manage unified variables, UDFs, functions and resource files. it is also guaranteed with sophisticated task/job lifecycle management capabilities under high-concurrency, high-performance and high-availability scenarios.
Based on the microservices architecture, Linkis provides enterprise-level features of multi-tenant isolation, resource management and access control. It also offers convenient support to manage unified variables, UDFs, functions and resource files. it is also guaranteed with sophisticated task/job lifecycle management capabilities under high-concurrency, high-performance and high-availability scenarios.


![linkis-intro-01](https://github.com/WeBankFinTech/Linkis/blob/master/images/linkis-intro-01.png?raw=true)
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