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Comparison of DataNucleus with DB4O embedded vs ObjectDB embedded

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 embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embedded
Basic Person Test0.0591001.31000.69100
Element Collection Test0.0451001.01000.52100
Inheritance Test0.0511000.851000.45100
Indexing Test0.0801002.31001.2100
Graph (Binary Tree) Testfailed88.4failed100failed94.2
Multithreading Testfailed100failed100failed100
All Tests0.05998.11.41000.7199.0

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

The results above show that in general ObjectDB embedded 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 embedded database (99.0) reveals that in these tests, ObjectDB embedded is 139 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 embedded database (100) reveals that in that case, ObjectDB embedded is 2,222 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 embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embedded
Basic Person Test0.00471001.81000.90100
Element Collection Test0.00381001.51000.77100
Inheritance Test0.00351002.21001.1100
Indexing Test0.00431001.81000.89100
Graph (Binary Tree) Testfailed100failed100failed100
Multithreading Testfailed100failed100failed100
All Tests0.00411001.81000.91100

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

The results above show that in general ObjectDB embedded 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 embedded database (100) reveals that in these tests, ObjectDB embedded is 110 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using class inheritance in the object model with small retrieval size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.0035) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 28,571 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 embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embedded
Basic Person Testfailed100failed100failed100
Element Collection Testfailed100failed100failed100
Inheritance Testfailed100failed100failed100
Indexing Testfailed100failed100failed100
Multithreading Testfailed100failed100failed100
All Testsfailed100failed100failed100

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 embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embedded
Basic Person Test0.0121000.761000.39100
Element Collection Test0.0121001.11000.53100
Inheritance Test0.0111000.811000.41100
Indexing Test0.0111001.31000.64100
Graph (Binary Tree) Testfailed100failed100failed100
Multithreading Testfailed100failed100failed100
All Tests0.0121000.971000.49100

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

The results above show that in general ObjectDB embedded 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 embedded database (100) reveals that in these tests, ObjectDB embedded is 204 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 embedded database (100) reveals that in that case, ObjectDB embedded is 9,091 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 embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embedded
Basic Person Test0.0111001.51000.74100
Element Collection Test0.0101001.61000.80100
Inheritance Test0.00931001.11000.57100
Indexing Test0.0171002.11001.1100
Graph (Binary Tree) Testfailed100failed100failed100
Multithreading Testfailed100failed100failed100
All Tests0.0121001.61000.79100

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

The results above show that in general ObjectDB embedded 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 embedded database (100) reveals that in these tests, ObjectDB embedded is 127 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 embedded database (100) reveals that in that case, ObjectDB embedded is 10,753 times faster than DataNucleus with DB4O embedded.

Comparison of database storage efficiency (normalized score, higher is better)

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 DataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embedded
Basic Person Test35.110035.410035.2100
Element Collection Test29.510029.910029.7100
Inheritance Test33.410033.510033.4100
Indexing Test41.010041.910041.5100
Graph (Binary Tree) Testfailed100failed100failed100
Multithreading Testfailed91.1failed22.0failed56.6
All Tests34.898.535.287.035.092.8

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

The results above show that in general ObjectDB embedded is more efficient than DataNucleus with DB4O embedded in using disk space. Comparing the normalized score of DataNucleus with DB4O embedded database (35.0) to the normalized score of ObjectDB embedded database (92.8) reveals that in these tests, ObjectDB embedded is 2.7 times more efficient than DataNucleus with DB4O embedded.

A large gap has been detected when using JPA element collections with small transaction size. Comparing the normalized score of DataNucleus with DB4O embedded database (29.5) to the normalized score of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 3.4 times more efficient 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 embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embedded
Basic Person Test0.0221001.31000.68100
Element Collection Test0.0181001.31000.66100
Inheritance Test0.0191001.21000.63100
Indexing Test0.0281001.91000.94100
Graph (Binary Tree) Testfailed97.1failed100failed98.5
Multithreading Testfailed100failed100failed100
All Tests0.02299.61.41000.7399.8

The results above show that in general ObjectDB embedded 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 embedded database (99.8) reveals that in these tests, ObjectDB embedded is 137 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 embedded database (100) reveals that in that case, ObjectDB embedded is 5,556 times faster than DataNucleus with DB4O embedded.

Other Head to Head DBMS/JPA Comparisons