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new 25045610 Update README.md
25045610 is described below
commit 25045610ccc9c61fd0a70af55229957d44d391f6
Author: Cong Zhao <[email protected]>
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.
