Is there a way to use splunk to extract data from a SQL DB and send it (using Heavy Forwarder?) as a csv to a remote share without indexing the actual data? - I don't want to see any of the data in Splunk. Rather use Splunk as a integration tool.
Is this possible? Any successful use-cases will help me to implement this.
If the HF has the appropriate inputs file to gather the data, you can write a search to format the data as a table, and then use the outputcsv search command which will dump a csv of the results on disk. You could then use a script to check for new csvs and scp them to where you need them as and when required. You could also ask the HF to send uncooked data to the third party system but it would send each file line by line so you'd need to reconstruct at the other end.
As far as I know, Splunk is capable to forward raw/parsed data to 3rd party systems, but not in csv file format before indexing.
The Splunk DB connect app is capable to connect to a SQL database and extract data to splunk for indexing. As the Splunk DB connect app have to be deployed at Splunk Heavy forwarder tier, I believe you can use props and transforms config file to route data to a 3rd party system before indexing them.