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Comparison of DataNucleus with H2 embedded vs ObjectDB server

Each of the following tables focuses on a specific database operation, where the last table presents average results comparison.

Speed comparison of JPA database persistence operations (normalized score, higher is better)

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB server
Basic Person Test19.235.28.074.113.654.7
Element Collection Test6.638.22.857.84.748.0
Inheritance Test15.632.74.472.810.052.7
Indexing Test24.449.911.890.118.170.0
Graph (Binary Tree) Test9.21006.289.27.794.6
Multithreading Test34.976.67.199.421.088.0
All Tests18.355.46.780.612.568.0

The results above show that in general ObjectDB server is much more efficient than DataNucleus with H2 embedded in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with H2 embedded database (12.5) to the normalized speed of ObjectDB database server (68.0) reveals that in these tests, ObjectDB server is 5.4 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using JPA element collections with large transaction size. Comparing the normalized speed of DataNucleus with H2 embedded database (2.8) to the normalized speed of ObjectDB database server (57.8) reveals that in that case, ObjectDB server is 20.6 times faster than DataNucleus with H2 embedded.

Speed comparison of JPA database retrieval operations (normalized score, higher is better)

Retrieval Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB server
Basic Person Test13.215.713.545.413.330.5
Element Collection Test6.419.98.949.27.734.6
Inheritance Test12.213.212.749.412.431.3
Indexing Test8.114.016.559.512.336.8
Graph (Binary Tree) Test10.619.920.924.715.822.3
Multithreading Test13.319.79.960.211.640.0
All Tests10.617.113.748.112.232.6

The results above show that in general ObjectDB server is more efficient than DataNucleus with H2 embedded in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with H2 embedded database (12.2) to the normalized speed of ObjectDB database server (32.6) reveals that in these tests, ObjectDB server is 2.7 times faster than DataNucleus with H2 embedded.

A large performance gap has been detected when using multithreading with large retrieval size. Comparing the normalized speed of DataNucleus with H2 embedded database (9.9) to the normalized speed of ObjectDB database server (60.2) reveals that in that case, ObjectDB server is 6.1 times faster than DataNucleus with H2 embedded.

Speed comparison of JPA database query operations (normalized score, higher is better)

Retrieval Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB server
Basic Person Test4.738.81.425.93.132.4
Element Collection Test5.039.52.433.13.736.3
Inheritance Test3.834.81.634.02.734.4
Indexing Test0.004114.51.853.30.9133.9
Multithreading Test1.250.80.7952.11.051.5
All Tests3.035.71.639.72.337.7

The results above show that in general ObjectDB server is much more efficient than DataNucleus with H2 embedded in executing the tested JPA queries. Comparing the normalized speed of DataNucleus with H2 embedded database (2.3) to the normalized speed of ObjectDB database server (37.7) reveals that in these tests, ObjectDB server is 16.4 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with H2 embedded database (0.0041) to the normalized speed of ObjectDB database server (14.5) reveals that in that case, ObjectDB server is 3,537 times faster than DataNucleus with H2 embedded.

Speed comparison of JPA database update operations (normalized score, higher is better)

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB server
Basic Person Test10.018.33.940.96.929.6
Element Collection Test7.621.13.953.75.837.4
Inheritance Test9.419.94.451.96.935.9
Indexing Test10.617.95.952.18.235.0
Graph (Binary Tree) Test5.942.63.724.14.833.3
Multithreading Testfailed68.6failed68.7failed68.6
All Tests8.731.44.448.66.540.0

DataNucleus with H2 embedded has failed in 2 tests (see exceptions).

The results above show that in general ObjectDB server is much more efficient than DataNucleus with H2 embedded in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with H2 embedded database (6.5) to the normalized speed of ObjectDB database server (40.0) reveals that in these tests, ObjectDB server is 6.2 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using JPA element collections with large transaction size. Comparing the normalized speed of DataNucleus with H2 embedded database (3.9) to the normalized speed of ObjectDB database server (53.7) reveals that in that case, ObjectDB server is 13.8 times faster than DataNucleus with H2 embedded.

Speed comparison of JPA database removal operations (normalized score, higher is better)

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB server
Basic Person Test4.220.21.367.72.844.0
Element Collection Test4.922.91.657.63.240.2
Inheritance Test4.023.11.361.62.742.3
Indexing Test7.534.91.955.94.745.4
Graph (Binary Tree) Test5.619.34.127.94.823.6
Multithreading Testfailed38.5failed50.5failed44.5
All Tests5.226.52.053.53.640.0

DataNucleus with H2 embedded has failed in 2 tests (see exceptions).

The results above show that in general ObjectDB server is much more efficient than DataNucleus with H2 embedded in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with H2 embedded database (3.6) to the normalized speed of ObjectDB database server (40.0) reveals that in these tests, ObjectDB server is 11.1 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using simple basic entities with large transaction size. Comparing the normalized speed of DataNucleus with H2 embedded database (1.3) to the normalized speed of ObjectDB database server (67.7) reveals that in that case, ObjectDB server is 52.1 times faster than DataNucleus with H2 embedded.

Comparison of JPA/Database speed - the averages (normalized score, higher is better)

Transaction/Retrieval SizeFew EntitiesMany EntitiesAverage Score
 DataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB serverDataNucleus
H2 embedded
ObjectDB server
Basic Person Test10.325.65.650.87.938.2
Element Collection Test6.128.33.950.35.039.3
Inheritance Test9.024.74.953.96.939.3
Indexing Test10.126.27.662.28.944.2
Graph (Binary Tree) Test7.845.48.741.58.343.5
Multithreading Test16.550.85.966.211.258.5
All Tests9.633.16.054.67.843.9

The results above show that in general ObjectDB server is much more efficient than DataNucleus with H2 embedded in performing JPA database operations. Comparing the normalized speed of DataNucleus with H2 embedded database (7.8) to the normalized speed of ObjectDB database server (43.9) reveals that in these tests, ObjectDB server is 5.6 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using JPA element collections with large transaction/retrieval size. Comparing the normalized speed of DataNucleus with H2 embedded database (3.9) to the normalized speed of ObjectDB database server (50.3) reveals that in that case, ObjectDB server is 12.9 times faster than DataNucleus with H2 embedded.

Other Head to Head DBMS/JPA Comparisons