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Comparison of ObjectDB embedded vs DataNucleus with DB4O 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
 ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
Basic Person Test1000.0591001.31000.69
Element Collection Test1000.0451001.01000.52
Inheritance Test1000.0511000.851000.45
Indexing Test1000.0801002.31001.2
Graph (Binary Tree) Test88.4failed100failed94.2failed
Multithreading Test100failed100failed100failed
All Tests98.10.0591001.499.00.71

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
 ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
Basic Person Test1000.00471001.81000.90
Element Collection Test1000.00381001.51000.77
Inheritance Test1000.00351002.21001.1
Indexing Test1000.00431001.81000.89
Graph (Binary Tree) Test100failed100failed100failed
Multithreading Test100failed100failed100failed
All Tests1000.00411001.81000.91

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
 ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
Basic Person Test100failed100failed100failed
Element Collection Test100failed100failed100failed
Inheritance Test100failed100failed100failed
Indexing Test100failed100failed100failed
Multithreading Test100failed100failed100failed
All Tests100failed100failed100failed

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
 ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
Basic Person Test1000.0121000.761000.39
Element Collection Test1000.0121001.11000.53
Inheritance Test1000.0111000.811000.41
Indexing Test1000.0111001.31000.64
Graph (Binary Tree) Test100failed100failed100failed
Multithreading Test100failed100failed100failed
All Tests1000.0121000.971000.49

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
 ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
Basic Person Test1000.0111001.51000.74
Element Collection Test1000.0101001.61000.80
Inheritance Test1000.00931001.11000.57
Indexing Test1000.0171002.11001.1
Graph (Binary Tree) Test100failed100failed100failed
Multithreading Test100failed100failed100failed
All Tests1000.0121001.61000.79

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
 ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
Basic Person Test10035.110035.410035.2
Element Collection Test10029.510029.910029.7
Inheritance Test10033.410033.510033.4
Indexing Test10041.010041.910041.5
Graph (Binary Tree) Test100failed100failed100failed
Multithreading Test91.1failed22.0failed56.6failed
All Tests98.534.887.035.292.835.0

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
 ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
ObjectDB embeddedDataNucleus
DB4O embedded
Basic Person Test1000.0221001.31000.68
Element Collection Test1000.0181001.31000.66
Inheritance Test1000.0191001.21000.63
Indexing Test1000.0281001.91000.94
Graph (Binary Tree) Test97.1failed100failed98.5failed
Multithreading Test100failed100failed100failed
All Tests99.60.0221001.499.80.73

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