[incubator-hugegraph-doc] branch master updated: Update README.md

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The following commit(s) were added to refs/heads/master by this push:
     new 25045610 Update README.md
25045610 is described below

commit 25045610ccc9c61fd0a70af55229957d44d391f6
Author: Cong Zhao <zh...@apache.org>
AuthorDate: Sun Nov 27 21:28:58 2022 +0800

    Update README.md
---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index e195c3ce..2d4481e0 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ Please visit the [contribution doc](./contribution.md) to get start, include the
 HugeGraph is an easy-to-use, efficient, general-purpose open source graph database system(Graph Database, [GitHub project address](https://github.com/hugegraph/hugegraph)),
 implemented the [Apache TinkerPop3](https://tinkerpop.apache.org) framework and is fully compatible with the [Gremlin](https://tinkerpop.apache.org/gremlin.html) query language,
 With complete toolchain components, it helps users to easily build applications and products based on graph databases. HugeGraph supports fast import of more than 10 billion vertices and edges, and provides millisecond-level relational query capability (OLTP). 
-It can be integrated with big data platforms such as Hadoop and Spark for offline analysis (OLAP).
+It also support large-scale distributed graph processing (OLAP).
 
 Typical application scenarios of HugeGraph include deep relationship exploration, association analysis, path search, feature extraction, data clustering, community detection, knowledge graph, etc., and are applicable to business fields such as network security, telecommunication fraud, financial risk control, advertising recommendation, social network and intelligence Robots etc.
 
@@ -48,7 +48,7 @@ The functions of this system include but are not limited to:
   - API: Built-in REST Server, provides RESTful API to users, and is fully compatible with Gremlin query.
 - [HugeGraph-Client](/docs/quickstart/hugegraph-client): HugeGraph-Client provides a RESTful API client for connecting to HugeGraph-Server. Currently, only Java version is implemented. Users of other languages can implement it by themselves;
 - [HugeGraph-Loader](/docs/quickstart/hugegraph-loader): HugeGraph-Loader is a data import tool based on HugeGraph-Client, which converts ordinary text data into graph vertices and edges and inserts them into graph database;
-- [HugeGraph-Computer](/docs/quickstart/hugegraph-computer): HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of [Pregel](https://kowshik.github. io/JPregel/pregel_paper.pdf). It runs on Kubernetes framework;
+- [HugeGraph-Computer](/docs/quickstart/hugegraph-computer): HugeGraph-Computer is a distributed graph processing system for HugeGraph (OLAP). It is an implementation of [Pregel](https://kowshik.github.io/JPregel/pregel_paper.pdf). It runs on Kubernetes framework;
 - [HugeGraph-Hubble](/docs/quickstart/hugegraph-hubble): HugeGraph-Hubble is HugeGraph's web visualization management platform, a one-stop visual analysis platform. The platform covers the whole process from data modeling, to rapid data import, to online and offline analysis of data, and unified management of graphs;
 - [HugeGraph-Tools](/docs/quickstart/hugegraph-tools): HugeGraph-Tools is HugeGraph's deployment and management tools, including functions such as managing graphs, backup/restore, Gremlin execution, etc.