"Organic data growth and associated costs limited what data we could consume and how we applied it to make business, risk, and threat-response related decisions. Using Cribl Stream, we get the insights we need, reduced license and infrastructure spend on our analytics platforms, and redirected cost savings into other areas of need."
"With Cribl, we imported a 34 million row CSV file into Redis and use the Redis function to match fields to records to add a new field that is used for faster identification of data once it is in Splunk."