You can also DIY and leverage the official clients.

Be aware that in the long run that rivers are being deprecated.

On 25 February 2015 at 06:25, Michalis Michaelidis <[email protected]>
wrote:

> Hello,
>
> I would like some guidelines about how to approach ElasticSearch
> synchronization with OrientDB:
>
> Doing some search I have found those approaches:
>
> 1) Dedicated River plugin - Like this one:
> https://github.com/sksamuel/elasticsearch-river-neo4j
>
> In this google group discussion (
> https://groups.google.com/d/msg/orient-database/YAesdS2qAYc/yCp7v9pF6tcJ)
> someone said that it could be done using hooks api of OrientDB that is more
> efficient than just pooling. Any thoughts on that?
>
> 2) JDBC River plugin ( https://github.com/jprante/elasticsearch-river-jdbc)
> - I could just use this one since OrientDB is providing a JDBC driver.
> Could there be compatibility problems?
>
> A person suggested Single point of failure problems with river plugins and
> I read that river plugins could be deprecated (?) in the future (
> http://stackoverflow.com/questions/22237111/preferred-method-of-indexing-bulk-data-into-elasticsearch).
> I don't know if SPOF is actually a reality as I see river plugins used for
> many types of resources that seem very decoupled.
>
> 3) Someone in twitter suggested embedding Elastic Search in OrientDB as it
> was done with Lucene https://github.com/orientechnologies/orientdb-lucene.
> Could that have scalability problems for either OrientDB or Elastic Search.
> I guess this cannot take the full advantage of Elastic Search and it is
> using that for querying only..
>
> Please guide me if I need to implement myself something or I could use
> existing tools and what are the tradeoffs of the previous or other
> approaches. I could have the support from Orient Technologies if I need it.
>
>
> Thank you,
>
> Michail
>
>
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