Getting Data In

Using Splunk as a data processor, then sending the data back to its source

tschn00
Explorer

I am trying to pull data from neo4j into Splunk, process it, and then send it back to neo4j. It looks like there is not a traditional way to do this, since neo4j doesn't appear to be compatible with the DBconnect. However, would it be possible to use python as an intermediary to send data to/from Splunk for this?

I am trying to avoid actually storing the data in Splunk itself. The data processing involves mostly machine learning. Is there a better option to accomplish this that I am overlooking?

lekanneer
Loves-to-Learn Lots

Although the question is very old and probably not relevant anymore. At least I do have created an app on splunkbase to pull data out of Neo4j into Splunk (https://splunkbase.splunk.com/app/5495/). Working on another app that can send Splunk data back to Neo4j (https://splunkbase.splunk.com/app/5508/).

0 Karma
Get Updates on the Splunk Community!

Earn a $35 Gift Card for Answering our Splunk Admins & App Developer Survey

Survey for Splunk Admins and App Developers is open now! | Earn a $35 gift card!      Hello there,  Splunk ...

Continuing Innovation & New Integrations Unlock Full Stack Observability For Your ...

You’ve probably heard the latest about AppDynamics joining the Splunk Observability portfolio, deepening our ...

Monitoring Amazon Elastic Kubernetes Service (EKS)

As we’ve seen, integrating Kubernetes environments with Splunk Observability Cloud is a quick and easy way to ...