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Update feature description in overview and readme #341

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Feb 23, 2018
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Update feature description in overview and readme #341

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4 changes: 3 additions & 1 deletion README.md
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Expand Up @@ -121,13 +121,15 @@

TiDB (The pronunciation is: /'taɪdiːbi:/ tai-D-B, etymology: titanium) is a Hybrid Transactional/Analytical Processing (HTAP) database. Inspired by the design of Google F1 and Google Spanner, TiDB features infinite horizontal scalability, strong consistency, and high availability. The goal of TiDB is to serve as a one-stop solution for online transactions and analyses.

- __Horizontal scalability__
- __Horizontal and linear scalability__
- __Compatible with MySQL protocol__
- __Automatic failover and high availability__
- __Consistent distributed transactions__
- __Online DDL__
- __Multiple storage engine support__
- __Highly concurrent and real-time writing and query of large volume of data (HTAP)__

TiDB is designed to support both OLTP (Online Transactional Processing) and OLAP (Online Analytical Processing) scenarios. For complex OLAP scenarios, use [TiSpark](tispark/tispark-user-guide.md).

Read the following three articles to understand TiDB techniques:

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4 changes: 3 additions & 1 deletion overview.md
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Expand Up @@ -9,13 +9,15 @@ category: introduction

TiDB (The pronunciation is: /'taɪdiːbi:/ tai-D-B, etymology: titanium) is a Hybrid Transactional/Analytical Processing (HTAP) database. Inspired by the design of Google F1 and Google Spanner, TiDB features infinite horizontal scalability, strong consistency, and high availability. The goal of TiDB is to serve as a one-stop solution for online transactions and analyses.

- __Horizontal scalability__
- __Horizontal and linear scalability__
- __Compatible with MySQL protocol__
- __Automatic failover and high availability__
- __Consistent distributed transactions__
- __Online DDL__
- __Multiple storage engine support__
- __Highly concurrent and real-time writing and query of large volume of data (HTAP)__

TiDB is designed to support both OLTP (Online Transactional Processing) and OLAP (Online Analytical Processing) scenarios. For complex OLAP scenarios, use [TiSpark](tispark/tispark-user-guide.md).

Read the following three articles to understand TiDB techniques:

Expand Down