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> Except in the case of Splunk. Their pricing is ridiculous.

Their pricing is ridiculous and what is even stranger is that with the ELK stack there is a good and free alternative. Now Splunk is good, no doubt, but I still wonder how they can be that successful with that pricing.



We ran the largest elastic search cluster on the west coast some number of years ago. If you are small enough, elastic search can go a long way. Our data teams and operations folks celebrated the day that that system was turned off. Elastic search does not even hold a candle to the way we leverage splunk at our org, but that could be because we are bigger than some and deal with scale that few others deal with. Splunk costs us a fortune but enables amazing data analysis. It is easily our most expensive service we pay for and worth it. It would be great for our bottom line if it were cheaper, but they can charge what they do because the do it so well.


Can you give us a sense of scale and what issues you faced by elastic?


Splunk is insanely good. To the point that people forget that other tools exist, or that it makes sense to build specialized solutions when needed.

So people start running anything — from dashboards to analytics — from Splunk alone. Their ability to combine and extract data from almost anything in very small amounts of time is unparalleled IMO.


Lock in and one trick pony trained staff. I'm going to kill it in the next 12 months in our org if it doesn't kill me first.


Splunk is incredibly powerful though, and almost all of that power is available at query time. Replicating the functionality in ELK often means indexing changes, and so when you have a question that isn't answered by the index, you'll forgo the answer unless you really really need it. A very simple example is the 'transaction' command in Splunk, which I absolutely could not live without and often surprise myself with the keys I end up using to research a particular topic.




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