- Rich

I agree 100% w/ you.

Tomcat – 625
WebSphere – 410
JBoss – 287
WebLogic – 239
Other – 197
(I’ve ignored the others as their counts are low)

Like Savio suggests, I’ve ignored “multiple answers” and I’ve also avoided double counting for JBoss and Tomcat by making sure that when JBoss or Tomcat is specified in the same response as JBoss+Tomcat I only count that response once. My results are more consistent with Savio’s so I suspect Rich’s minor double counting may not be so minor.

See http://ktschmidt.blogspot.com/2010/04/further-analysis-of-java-platform.html for some charts from my analysis.

@Eduardo – I agree there are much bigger questions about the source of the data than I’ve posed. The data is tangible so an easier target for me.

My own analysis isn’t perfect but my point still stands – the Questioning, analysis and presentation of the data is poor.

In any case – I looked at the data in two ways.

Scenario 1: Follow the Replay Analysis Methodology & allow a user to vote for multiple servers (i.e. Total results > Total valid respondents for the question)
- For instance, if respondent A selected WebSphere and respondent B selected JBoss and WebSphere, the total results would be 2 for WebSphere and 1 for JBoss, for a sum of 3 across the total 2 respondents.
- In keeping with the point above (and Replay Solutions’ analysis methodology) I added all of “TC+JB” results (161 by my count) to the “Tomcat” result and also add 161 to the “JBoss” results.
- Total count = 2036 split as follows:

35% Tomcat & JB+TC
17% JBoss & JB+TC
12% WebLogic
20% WebSphere
5% Jetty
1% Jonas, Jrun, Orion
1% Resin
10% Other
100% Total

Not sure why the results don’t exactly match yours, but I could very easily have made an error (I did the spreadsheet work quickly while on a call!)

Scenario 2: Each valid respondent’s response is spread across the servers s/he selects (i.e. Total results == Total valid respondents for the question)
- For instance, if respondent A selected WebSphere and respondent B selected JBoss and WebSphere, the total results would be 1.5 for WebSphere and 0.5 for JBoss across the total 2 respondents.
- Total count = 1054 split as follows:

34% Tomcat & TC portion of “JB+TC”
12% JBoss & JB portion of “JB+TC”
11% WebLogic
24% WebSphere
4% Jetty
1% Jonas, Jrun, Orion
1% Resin
14% Other
100% Total

I am in no way saying that Scenario 2 is a valid representation of “actual usage” or anything like that. But interesting none the less…

I’ve uploaded the file here if you’re interested: http://drop.io/6sotiyj# (tried to get it up on gDocs but it kept crashing)

Savio
IBM WebSphere

* I don’t think you can reduce multiple-choice answers to flat market shares.

* The 18% “Other” and 4% Blank is a big chuck of the data. I looked and most of the “Others” are by themselves, not “WLS, WAS, Other”, but just “Other”.

* There is no data on deployment vs development. Does using Jetty in Maven count the same as using JBoss in production?

* Given that GlassFish is the largest major player omitted, I could argue a big chunk of that 18% is GF . Maybe even some of the +4%. Or not. Who knows.

The survey also has weird sets of questions/answers. The selection for “Key JavaEE Services/Frameworks” is really strange.

Anyhow, unless I hear something more interesting about the survey, I’m going to ignore it…

Surveys! Even the EDC’s surveys had significant methodological problems, but this one… BTW, did EDC stop doing AppServer surveys?

This is always the problem we have with these types of surveys.

My numbers simply count the occurences of the “server” – this gives the correct count for everything but the “Jonas…” category – but those numbers are small enough to not make a difference. The only other error is that if “JB+TC” and “Tomcat” were specified I double count – but that only accounts for a small error.

Again – this is a flaw in the questions and presentation – that’s my main point.

My %’s are based on the total “server” responses so add up to 100% and I ignore “no answer”.

- Rich

I will look at the data in detail later – but I think you’ve made a mistake by counting “Multi Answers” back into the individual server choices. ***Doing this double counts the results.***

For eg: If a respondent selected “JBoss, Weblogic” for Question JS1 “Which App Servers will you use in 2010?” the data set puts a “1″ under JBoss, a “1″ under “WebLogic” and “1″ under “Multi Answers”.

So, the simplest thing to do is ignore “Multiple Answers” when looking at the individual server usage.

Which should get you back to data as reported by Replay Solutions (except with the “Multiple Answers” row removed).

Savio
IBM WebSphere (but a data geek at times)