This document summarizes the results of benchmarks testing the performance of different versions of MongoDB for write, storage size, and read operations. The benchmarks show that MongoDB 3.0 with wiredTiger and compression enabled had the best performance for write operations, smallest storage size, and competitive read performance compared to earlier versions.

1. MongoDB 3.0 Benchmark
Write Performance
(Red: ​the best​, Blue: ​the worst​; The Lower, the Better)
Volumn/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 3.442 s 3.189 s 2.22 s 2.579 s 2.577 s
100 Thousands 33.076 s 26.168 s 23.533 s 22.757 s 22.737 s
1 Million 330.769 s 246.247 s 235.509 s 226.093 s 233.603 s
10 Millions 3586.909 s 2294.938 s 2128.332 s 2287.668 s 2297.819 s

4. Storage Size
(Red: ​the best​, Blue: ​the worst​; The Lower, the Better)
Volumn/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
apiDataDB 9.949 GB 1.953 GB 0.667 GB 0.174 GB 0.088 GB
10 Thousands storage: 660K
index:320KB
storage:680K
index:327K
storage:4K
index:4K
storage:4K
index:4K
storage:4K
index:4K
100 Thousands storage:
10.6MB
index:3.1MB
storage:10.6MB
index:3.1MB
storage:3.18MB
index:0.71MB
storage:
1.25MB
index:0.73MB
storage: 0.57MB
index:0.75MB
1 Million storage:
82.3MB
index:31MB
storage:82.3MB
index:31MB
storage:33.7MB
index:8.26MB
storage:
12.3MB
index:8.26MB
storage: 5.54MB
index:8.47MB
10 Millions storage:817MB
index:309MB
storage:817MB
index:309MB
storage:373MB
index:86.46MB
storage: 140MB
index:86.39MB
storage:56.1MB
index:85.97MB

7. Read Performance [​Sequential​]
(Red: ​the best​, Blue: ​the worst​; The Lower, the Better)
test.count = 10,000,000
for(i = 0; i < 10 thousands ~ 10 millions; i++) {
db.test.find({x:i});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.086 0.082 0.174 0.086 0.165
100 Thousands 0.66 0.617 0.847 0.812 1.289
1 Million 6.814 5.442 13.839 7.743 8.074
10 Millions 68.836 57.712 78.885 77.617 72.555
test.count = 1,000,000
for(i = 0; i < 10 thousands ~ 10 millions; i++) {
db.test.find({x:i});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.094 0.128 0.087 0.158 0.105
100 Thousands 0.793 0.743 0.793 0.797 1.419
1 Million 7.306 7.448 7.731 9.42 7.755
10 Millions 73.341 73.71 81.982 82.409 85.641

8. test.count = 100,000
for(i = 0; i < 10 thousands ~ 10 millions; i++) {
db.test.find({x:i});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.092 0.08 0.087 0.161 0.142
100 Thousands 0.76 0.737 0.796 1.393 0.887
1 Million 7.369 7.305 7.737 7.865 7.751
10 Millions 73.784 76.701 78.191 82.17 77.238
test.count = 10,000
for(i = 0; i < 10 thousands ~ 10 millions; i++) {
db.test.find({x:i});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.097 0.161 0.089 0.15 0.084
100 Thousands 0.771 1.287 0.8 1.395 0.779
1 Million 7.48 7.15 8.52 7.886 7.758
10 Millions 74.379 74.89 82.612 80.443 76.852

9. Read Performance [​Random​]
(Red: ​the best​, Blue: ​the worst​; The Lower, the Better)
test.count = 10,000,000
for(i = 0; i < 10,000,000; i++) {
db.test.find({x:Random(10000000)});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.1 0.147 0.135 0.069 0.081
100 Thousands 0.774 0.819 0.768 1.046 0.731
1 Million 7.38 7.896 7.581 5.884 7.134
10 Millions 74.14 74.618 76.922 59.173 71.214
test.count = 1,000,000
for(i = 0; i < 1,000,000; i++) {
db.test.find({x:Random(1000000)});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.089 0.083 0.085 0.085 0.087
100 Thousands 0.763 0.769 0.761 0.778 0.772
1 Million 7.416 7.556 7.612 7.685 7.631
10 Millions 74.365 76.457 77.105 77.019 75.392

10. test.count = 100,000
for(i = 0; i < 100,000; i++) {
db.test.find({x:Random(100000)});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.098 0.075 0.081 0.079 0.143
100 Thousands 0.759 0.795 0.792 0.801 1.415
1 Million 7.476 7.492 7.75 7.881 7.452
10 Millions 74.411 78.056 77.332 81.564 75.891
test.count = 10,000
for(i = 0; i < 10,000; i++) {
db.test.find({x:Random(10000)});
}
Unit: Second
Read Count/Version 2.6.8MMAPv1 3.0MMAPv1 3.0WT+None 3.0WT+Snappy 3.0WT+zlib
10 Thousands 0.106 0.077 0.075 0.084 0.138
100 Thousands 0.767 0.787 0.758 0.799 0.809
1 Million 7.494 8.835 7.43 7.501 8.035
10 Millions 74.742 75.527 73.766 82.016 78.374