4 ms·
Congratulations to Splunk! Operational Analytics is an exteremely interesting area rich with many complex problems: performance (processing complex queries over
by jayp 14y ago
Congratulations to Splunk! Operational Analytics is an exteremely interesting area rich with many complex problems: performance (processing complex queries over very large data sets), prediction (proactive diagnostics), and visualization (packing dense information in a human-friendly manner).
We at Pattern Insight are currently working on the next generation of logging software, called Log Insight. If you are a Splunk customer or thinking of buying them, take a look at at our product page [http://patterninsight.com/products/log-insight/ http://patterninsight.com/products/log-insight/] for information on a more sophisticated and complete solution.
Don't hesitate to contact me if you are on the job market and want to work on interesting data-mining problems (full-time only please).
- nwatson 14y agoGo straight to scale with http://www.sensage.com http://www.sensage.com. Used by governments, health records and insurance companies, telcos, etc. When commodity solutions like Splunk no longer work for you take it to the only other level you need.
- sakai 14y agoIs this type of comment considered OK in this community? I'm all for a little competition, but it feels a bit dirty to me to congratulate a company while calling their product a "[less] sophisticated and complete solution."
- rdl 14y agoIf it were a startup talking about how they're better for specific types of problems (e.g. "if you're an EC2 fan but need to host in Russia, contact me..."), I think that's totally ok. Big company vs. startup, general vs. niche, non hn company vs. hn company (where "hn company" is "people on hacker news regularly, or YC companies), traditional vs. open source/free, etc. are all points in favor of making it ok. I'm not sure in this case (I know lots of people at Splunk, Adammark/sensage, and other SIEM companies, and IMO they're all useful in some cases, and too expensive for a lot of cases).