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Comparison of DataNucleus with DB4O 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
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB server
Basic Person Test0.05935.21.374.10.6954.7
Element Collection Test0.04538.21.057.80.5248.0
Inheritance Test0.05132.70.8572.80.4552.7
Indexing Test0.08049.92.390.11.270.0
Graph (Binary Tree) Testfailed100failed89.2failed94.6
Multithreading Testfailed76.6failed99.4failed88.0
All Tests0.05955.41.480.60.7168.0

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general ObjectDB server is much more efficient than DataNucleus with DB4O embedded in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.71) to the normalized speed of ObjectDB database server (68.0) reveals that in these tests, ObjectDB server is 95.8 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using JPA element collections with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.045) to the normalized speed of ObjectDB database server (38.2) reveals that in that case, ObjectDB server is 849 times faster than DataNucleus with DB4O embedded.

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

Retrieval Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB server
Basic Person Test0.004715.71.845.40.9030.5
Element Collection Test0.003819.91.549.20.7734.6
Inheritance Test0.003513.22.249.41.131.3
Indexing Test0.004314.01.859.50.8936.8
Graph (Binary Tree) Testfailed19.9failed24.7failed22.3
Multithreading Testfailed19.7failed60.2failed40.0
All Tests0.004117.11.848.10.9132.6

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general ObjectDB server is much more efficient than DataNucleus with DB4O embedded in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.91) to the normalized speed of ObjectDB database server (32.6) reveals that in these tests, ObjectDB server is 35.8 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using JPA element collections with small retrieval size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.0038) to the normalized speed of ObjectDB database server (19.9) reveals that in that case, ObjectDB server is 5,237 times faster than DataNucleus with DB4O embedded.

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

Retrieval Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB server
Basic Person Testfailed38.8failed25.9failed32.4
Element Collection Testfailed39.5failed33.1failed36.3
Inheritance Testfailed34.8failed34.0failed34.4
Indexing Testfailed14.5failed53.3failed33.9
Multithreading Testfailed50.8failed52.1failed51.5
All Testsfailed35.7failed39.7failed37.7

DataNucleus with DB4O embedded has failed in 10 tests (see exceptions).

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

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB server
Basic Person Test0.01218.30.7640.90.3929.6
Element Collection Test0.01221.11.153.70.5337.4
Inheritance Test0.01119.90.8151.90.4135.9
Indexing Test0.01117.91.352.10.6435.0
Graph (Binary Tree) Testfailed42.6failed24.1failed33.3
Multithreading Testfailed68.6failed68.7failed68.6
All Tests0.01231.40.9748.60.4940.0

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general ObjectDB server is much more efficient than DataNucleus with DB4O embedded in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.49) to the normalized speed of ObjectDB database server (40.0) reveals that in these tests, ObjectDB server is 81.6 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using class inheritance in the object model with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.011) to the normalized speed of ObjectDB database server (19.9) reveals that in that case, ObjectDB server is 1,809 times faster than DataNucleus with DB4O embedded.

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

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB server
Basic Person Test0.01120.21.567.70.7444.0
Element Collection Test0.01022.91.657.60.8040.2
Inheritance Test0.009323.11.161.60.5742.3
Indexing Test0.01734.92.155.91.145.4
Graph (Binary Tree) Testfailed19.3failed27.9failed23.6
Multithreading Testfailed38.5failed50.5failed44.5
All Tests0.01226.51.653.50.7940.0

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general ObjectDB server is much more efficient than DataNucleus with DB4O embedded in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.79) to the normalized speed of ObjectDB database server (40.0) reveals that in these tests, ObjectDB server is 50.6 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using class inheritance in the object model with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.0093) to the normalized speed of ObjectDB database server (23.1) reveals that in that case, ObjectDB server is 2,484 times faster than DataNucleus with DB4O embedded.

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

Transaction/Retrieval SizeFew EntitiesMany EntitiesAverage Score
 DataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB serverDataNucleus
DB4O embedded
ObjectDB server
Basic Person Test0.02225.61.350.80.6838.2
Element Collection Test0.01828.31.350.30.6639.3
Inheritance Test0.01924.71.253.90.6339.3
Indexing Test0.02826.21.962.20.9444.2
Graph (Binary Tree) Testfailed45.4failed41.5failed43.5
Multithreading Testfailed50.8failed66.2failed58.5
All Tests0.02233.11.454.60.7343.9

The results above show that in general ObjectDB server is much more efficient than DataNucleus with DB4O embedded in performing JPA database operations. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.73) to the normalized speed of ObjectDB database server (43.9) reveals that in these tests, ObjectDB server is 60.1 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using JPA element collections with small transaction/retrieval size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.018) to the normalized speed of ObjectDB database server (28.3) reveals that in that case, ObjectDB server is 1,572 times faster than DataNucleus with DB4O embedded.

Other Head to Head DBMS/JPA Comparisons