An in-depth analysis of Cribl’s rise to becoming a cybersecurity & data platform, how its vendor-neutral architecture eliminated the Splunk data tax and its next moves as a telemetry services cloud.
Well done. I like the customer examples. Do you have more examples of executive level metrics that justify an investment in an independent pre-processing layer? Outside of "reducing by SPLK bill". Early adoption was driven by "reducing my SIEM bill" but, IMO, long term growth will be supported by strategic and business level support. Otherwise, the next gen "system of analysis" collection and pipeline tool could be "good enough". Thoughts?
A lot of the numbers in the graph are wrong, all can be just proven wrong from a few google searches and ChatGPT prompts, saying Datadog took 5-6 years to reach that ARR is inaccurate. For a page whose only job is to do research that’s kinda sad.
Great analysis on Cribl!
Well done. I like the customer examples. Do you have more examples of executive level metrics that justify an investment in an independent pre-processing layer? Outside of "reducing by SPLK bill". Early adoption was driven by "reducing my SIEM bill" but, IMO, long term growth will be supported by strategic and business level support. Otherwise, the next gen "system of analysis" collection and pipeline tool could be "good enough". Thoughts?
Great in depth research and analysis!
A lot of the numbers in the graph are wrong, all can be just proven wrong from a few google searches and ChatGPT prompts, saying Datadog took 5-6 years to reach that ARR is inaccurate. For a page whose only job is to do research that’s kinda sad.
Cribl really overturned the status quo. Will be interesting to learn their history