Hi Yu,

Thanks for the update and useful details !

I will take a deeper look.

Regards
JB

On 04/01/2022 12:02, Yu Li wrote:
Thanks for driving this, Williem!

I'm happy to be the mentor of the project. I've had several conversations
with the team (both online and offline), and were attracted by their
technical taste and willingness of open source contribution and
collaboration. Hope the project could be accepted by the incubator, and
move on rapidly and healthy towards building up a great community!

  @JB I happen to discuss with the team about comparison of existing graph
database systems, and would like to share some information here:

Comparison with AGE (I didn't find open document and below is my
understanding based on previous discussion):

    - Common features of HugeGraph and AGE:
       - Both support complete graph query language. AGE supports
       openCypher, and HugeGraph supports Apache Gremlin.
       - Both support basic graph CRUD operations.
       - Both support PostgreSQL as backend storage, and the organisation of
       the stored graph data is similar.
    - Difference between HugeGraph and AGE:
       - Different ways of integrating PostgreSQL: AGE runs as a plug-in of
       PostgreSQL, while HugeGraph runs PostgreSQL as an independent storage
       system.
          - Besides supporting PostgreSQL as the storage backend, HugeGraph
          supports a variety of other backends, such as RocksDB (the default),
          Cassandra, HBase, MySQL, etc. in a pluggable way.
       - Besides supporting basic graph CRUD operations, HugeGraph also
       supports real-time OLTP graph algorithm, distributed OLAP graph
       calculation, rich attribute/graph indices and schema constraints, etc.


Comparison with Neo4j and JanusGraph/Titan:

    - Please refer to this document [1], and there are more benchmark data
    here [2] (in Chinese now, and I believe English translation is on the way)


Hope the information helps, and please feel free to correct me or give
supplements here, team (smile).

Best Regards,
Yu

[1]
https://blog.actorsfit.com/a?ID=01650-caeae70a-01c9-4ab8-a440-07b24e732ee7
[2]
https://hugegraph.github.io/hugegraph-doc/performance/hugegraph-benchmark-0.5.6.html

On Tue, 4 Jan 2022 at 16:47, Jean-Baptiste Onofré <j...@nanthrax.net> wrote:

Hi Willem,

it looks like an interesting project.

Just for my curiosity, how can we compare HugeGraph with Neo4j, Titan,
or PostgreSQL AGE ?
Especially in term of graph distribution, parallel processing, etc ?

Thanks !
Regards
JB

On 04/01/2022 03:27, Willem Jiang wrote:
Hi

First happy new year to everyone!

We want to propose HugeGraph[1]  as a new Apache Incubator project.

HugeGraph is a large-scale and easy-to-use graph database. In the case
of 100+ billion data (vertices and edges), HugeGraph has complete
HTAP[2] capabilities built in its internal system. The design goal of
HugeGraph is to achieve a balance between availability, performance
and cost.

I'd be happy to be the Champion of this project and may Thanks to
Trista Pan (panjuan at apache dot org),Lidong Dai (lidongdai at apache
dot org),Xiangdong Huang (hxd at apache dot org),Yu Li (liyu at apache
dot org) for being the mentor of HugeGraph project and helping us to
polish the incubating proposal[2].

Looking forward to your feedback and thank you very much.

[1]https://github.com/hugegraph/hugegraph/
[2]
https://en.wikipedia.org/wiki/Hybrid_transactional/analytical_processing
[3]
https://cwiki.apache.org/confluence/display/INCUBATOR/HugeGraphProposal

Best Regards,

Willem Jiang

Twitter: willemjiang
Weibo: 姜宁willem

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