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+# DingoDB
+
+DingoDB is a real-time Hybrid Serving & Analytical Processing (HSAP) Database. It can execute high-frequency query and
+upsert, interactive analysis, multi-dimensional analysis in extremely low latency.
+
+![](docs/architecture/images/dingo_stack.png)
+
+## Features
+
+1. Compliant with ANSI SQL  
+   Based on the popular [Apache Calcite](https://calcite.apache.org/) SQL engine, DingoDB can parse, optimize and
+   execute standard SQL statement, and is capable to run part of TPC-H and TPC-DS (See [TPC](http://www.tpc.org/))
+   queries. DingoDB is also compliant with JDBC and can be seamlessly integrated with web services, BI tools, etc.
+2. Support high frequency write operation  
+   By using the log structured key-value storage [RocksDB](https://rocksdb.org/), DingoDB support high frequency write
+   operation like INSERT, UPDATE, DELETE.
+3. Support point query and multi-dimensional analysis simultaneously  
+   DingoDB can store table data in both row-oriented and column-oriented format, providing capability of fast point
+   query and fast multi-dimensional analysis in low latency.
+4. Easily integrated with streaming data and other DBMS's  
+   By providing dedicated APIs for popular streaming data processing engine,
+   e.g. [Apache Flink](https://flink.apache.org/), DingoDB can easily accept data from them, and support more analysis
+   working or web serving that is not applicable to be done in stream. DingoDB can also access databases of many types,
+   using pluggable connectors for each of them.
+5. Resilience for deployment and maintenance  
+   DingoDB stores and processes data in a distributed manner with strong cluster and resource management functionality,
+   which make it easy to expand the capacity.
+
+## Developing DingoDB
+
+We recommend IntelliJ IDEA to develop the DingoDB codebase. Minimal requirements for an IDE are:
+
+* Support for Java
+* Support for Gradle
+
+### IntelliJ IDEA
+
+The IntelliJ IDE supports Java and Gradle out of the box. Download it
+at [IntelliJ IDEA website](https://www.jetbrains.com/idea/).
+
+## Documentation
+
+The documentation of Apache Flink is located on the
+website: [https://dingodb.readthedocs.io](https://dingodb.readthedocs.io)
+or in the `docs/` directory of the source code.
+
+## About
+
+DingoDB is an open source project licensed in **Apache License Version 2.0**.
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 DingoDB is a real-time Hybrid Serving & Analytical Processing (HSAP) Database. It can execute high-frequency query and
 upsert, interactive analysis, multi-dimensional analysis in extremely low latency.
 
+![](./architecture/images/dingo_stack.png)
+
 ## Features
 
 1. Compliant with ANSI SQL  
@@ -15,8 +17,7 @@ upsert, interactive analysis, multi-dimensional analysis in extremely low latenc
    By using the log structured key-value storage [RocksDB](https://rocksdb.org/), DingoDB support high frequency write
    operation like INSERT, UPDATE, DELETE.
 3. Support point query and multi-dimensional analysis simultaneously  
-   DingoDB can store table data in both row-oriented and column-oriented format, providing capability of fast point
-   query and fast multi-dimensional analysis in low latency.
+   DingoDB own capability to execute high concurrent point query, upsert and fast multi-dimensional analysis in low latency.
 4. Easily integrated with streaming data and other DBMS's  
    By providing dedicated APIs for popular streaming data processing engine,
    e.g. [Apache Flink](https://flink.apache.org/), DingoDB can easily accept data from them, and support more analysis