There seems to be some interest Catalyst vs Rails vs Django benchmark. The older benchmark is quite old, it was done in 2007. A lot has changed since then. I am re-running the numbers once again to see what has changed. This time around the hardware is faster and the benchmark is slightly more simple. I am just stress testing the controller response performance of the two frameworks.

Benchmark System:
Quad Core Xeon x5355 @ 2.66GHz,8 Gigs Ram,OpenSolaris SNV98

Quick Summary:
Catalyst 5.8/Perl 5.10: 611.78req/sec (Single Process,bsdmalloc)
Catalyst 5.8/Perl 5.10: 1485.53req/sec (Multi Process,bsdmalloc)
Rails 2.3.2/MRI Ruby 1.8.7: 259.93req/sec (Single Process,bsdmalloc)
Rails 2.3.2/JRuby 1.3-dev: 311.71req/sec (Single-Threaded,bsdmalloc)
Rails 2.3.2/JRuby 1.3-dev: 992.32req/sec (Multi-Threaded,libumem)
Rails 2.3.2/MRI Ruby 1.9.1: 603.92req/sec (Single Process,bsdmalloc)

Jump to conclusion….

Catalyst 5.8 / Perl 5.10
Compiled: SUNCC -xO5 -xipo -fast -xtarget=native


# ab -n1000 -c100 http://somedomain:3000/
This is ApacheBench, Version 2.0.40-dev <$Revision: 1.146 $> apache-2.0
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Copyright 2006 The Apache Software Foundation, http://www.apache.org/

Benchmarking localhost (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Completed 600 requests
Completed 700 requests
Completed 800 requests
Completed 900 requests
Finished 1000 requests


Server Software:        
Server Hostname:        somedomain
Server Port:            3000

Document Path:          /
Document Length:        11 bytes

Concurrency Level:      100
Time taken for tests:   0.673159 seconds
Complete requests:      1000
Failed requests:        0
Write errors:           0
Total transferred:      159000 bytes
HTML transferred:       11000 bytes
Requests per second:    1485.53 [#/sec] (mean)
Time per request:       67.316 [ms] (mean)
Time per request:       0.673 [ms] (mean, across all concurrent requests)
Transfer rate:          230.26 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    0   2.3      0      35
Processing:    15   62  10.8     62     103
Waiting:       15   59  11.6     61      98
Total:         15   62  10.6     63     103

Percentage of the requests served within a certain time (ms)
  50%     63
  66%     66
  75%     69
  80%     71
  90%     74
  95%     76
  98%     86
  99%     91
 100%    103 (longest request)

Rails 2.3.2 / Ruby 1.8.7
Compiled: SUNCC -xO5 -xipo -fast -xtarget=native



# ab -n1000 -c100 http://somedomain:3000/main/index
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking somedomain (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Completed 600 requests
Completed 700 requests
Completed 800 requests
Completed 900 requests
Completed 1000 requests
Finished 1000 requests


Server Software:        Mongrel
Server Hostname:        somedomain
Server Port:            3000

Document Path:          /main/index
Document Length:        11 bytes

Concurrency Level:      100
Time taken for tests:   3.847 seconds
Complete requests:      1000
Failed requests:        0
Write errors:           0
Total transferred:      290003 bytes
HTML transferred:       11000 bytes
Requests per second:    259.93 [#/sec] (mean)
Time per request:       384.718 [ms] (mean)
Time per request:       3.847 [ms] (mean, across all concurrent requests)
Transfer rate:          73.61 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    0   1.1      0      16
Processing:    10  369  65.2    389     428
Waiting:        9  368  65.3    388     427
Total:         10  369  65.2    390     428

Percentage of the requests served within a certain time (ms)
  50%    390
  66%    396
  75%    398
  80%    400
  90%    404
  95%    407
  98%    413
  99%    417
 100%    428 (longest request)


Rails 2.3.2 / JRuby 1.3-dev build 6586 (Multi-Threaded), libumem
Platform: JDK7 B56

# ab -n1000 -c100 http://somedomain.com:3000/main/index
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking somedomain.com (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Completed 600 requests
Completed 700 requests
Completed 800 requests
Completed 900 requests
Completed 1000 requests
Finished 1000 requests


Server Software:        
Server Hostname:        somedomain.com
Server Port:            3000

Document Path:          /main/index
Document Length:        11 bytes

Concurrency Level:      100
Time taken for tests:   1.008 seconds
Complete requests:      1000
Failed requests:        1
   (Connect: 0, Receive: 0, Length: 1, Exceptions: 0)
Write errors:           0
Non-2xx responses:      1
Total transferred:      253875 bytes
HTML transferred:       11936 bytes
Requests per second:    992.32 [#/sec] (mean)
Time per request:       100.773 [ms] (mean)
Time per request:       1.008 [ms] (mean, across all concurrent requests)
Transfer rate:          246.02 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    1   1.7      0      13
Processing:    10   79  18.8     80     122
Waiting:        9   79  18.8     79     122
Total:         10   80  18.9     80     122

Percentage of the requests served within a certain time (ms)
  50%     80
  66%     88
  75%     94
  80%     98
  90%    102
  95%    108
  98%    113
  99%    114
 100%    122 (longest request)

Rails 2.3.2 / JRuby 1.3-dev build 6586 (Single-Threaded)
Platform: JDK7 B56


# ab -n1000 -c100 http://somedomain:3000/main/index
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking somedomain (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Completed 600 requests
Completed 700 requests
Completed 800 requests
Completed 900 requests
Completed 1000 requests
Finished 1000 requests


Server Software:        
Server Hostname:        somedomain
Server Port:            3000

Document Path:          /main/index
Document Length:        11 bytes

Concurrency Level:      100
Time taken for tests:   3.208 seconds
Complete requests:      1000
Failed requests:        0
Write errors:           0
Total transferred:      253000 bytes
HTML transferred:       11000 bytes
Requests per second:    311.71 [#/sec] (mean)
Time per request:       320.810 [ms] (mean)
Time per request:       3.208 [ms] (mean, across all concurrent requests)
Transfer rate:          77.01 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    1   2.5      0      31
Processing:    37  304  56.4    318     350
Waiting:       36  304  56.5    318     349
Total:         37  305  56.5    318     352

Percentage of the requests served within a certain time (ms)
  50%    318
  66%    326
  75%    330
  80%    332
  90%    336
  95%    341
  98%    345
  99%    348
 100%    352 (longest request)

Rails 2.3.2 / Ruby 1.9.1
Compiled: GCC -O3 -fomit-frame-pointer (SunCC failed to compile)



# ab -n1000 -c100 http://somedomain:3000/main/index
This is ApacheBench, Version 2.3 <$Revision: 655654 $>
Copyright 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Licensed to The Apache Software Foundation, http://www.apache.org/

Benchmarking somedomain (be patient)
Completed 100 requests
Completed 200 requests
Completed 300 requests
Completed 400 requests
Completed 500 requests
Completed 600 requests
Completed 700 requests
Completed 800 requests
Completed 900 requests
Completed 1000 requests
Finished 1000 requests


Server Software:        thin
Server Hostname:        somedomain
Server Port:            3000

Document Path:          /main/index
Document Length:        11 bytes

Concurrency Level:      100
Time taken for tests:   1.656 seconds
Complete requests:      1000
Failed requests:        0
Write errors:           0
Total transferred:      267001 bytes
HTML transferred:       11000 bytes
Requests per second:    603.92 [#/sec] (mean)
Time per request:       165.585 [ms] (mean)
Time per request:       1.656 [ms] (mean, across all concurrent requests)
Transfer rate:          157.47 [Kbytes/sec] received

Connection Times (ms)
              min  mean[+/-sd] median   max
Connect:        0    0   0.6      0       8
Processing:    28  160  39.0    187     222
Waiting:       13  145  38.5    143     209
Total:         28  160  39.0    187     222

Percentage of the requests served within a certain time (ms)
  50%    187
  66%    190
  75%    191
  80%    191
  90%    196
  95%    201
  98%    221
  99%    221
 100%    222 (longest request)


Conclusion

Seems like Catalyst has the edge in controller performance compared to Rails on MRI Ruby 1.8.7. Catalyst's controller processing is 135% faster than Rails in single process performance and 471% faster as a forking multi process. It is nice to see that the Catalyst team addressed the controller performance short comings of the earlier versions of Catalyst. Like any benchmark take it with a grain of salt. In a real application your data access layer will most likely be the bottle neck.

Rails 2.3.2 under JRuby with threading enabled ran 283% faster than with MRI Ruby 1.8.7. I am anxiously waiting on JDK7 B57 with invoke dynamic support, this should help push JRuby's performance even further. I guess I know what deployment option I will choose when deploying Rails.

Pick your poison, both frameworks provide excellent controller response performance. Keep in mind scaling is all about architecture and not how fast your controller's responses are. That said, having an efficient framework does help 😉