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Comparison of ObjectDB embedded vs DataNucleus with H2 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
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
Basic Person Test10019.21008.010013.6
Element Collection Test1006.61002.81004.7
Inheritance Test10015.61004.410010.0
Indexing Test10024.410011.810018.1
Graph (Binary Tree) Test88.49.21006.294.27.7
Multithreading Test10034.91007.110021.0
All Tests98.118.31006.799.012.5

The results above show that in general ObjectDB embedded 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 embedded database (99.0) reveals that in these tests, ObjectDB embedded is 7.9 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 embedded database (100) reveals that in that case, ObjectDB embedded is 35.7 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
 ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
Basic Person Test10013.210013.510013.3
Element Collection Test1006.41008.91007.7
Inheritance Test10012.210012.710012.4
Indexing Test1008.110016.510012.3
Graph (Binary Tree) Test10010.610020.910015.8
Multithreading Test10013.31009.910011.6
All Tests10010.610013.710012.2

The results above show that in general ObjectDB embedded is much 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 embedded database (100) reveals that in these tests, ObjectDB embedded is 8.2 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using JPA element collections with small retrieval size. Comparing the normalized speed of DataNucleus with H2 embedded database (6.4) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 15.6 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
 ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
Basic Person Test1004.71001.41003.1
Element Collection Test1005.01002.41003.7
Inheritance Test1003.81001.61002.7
Indexing Test1000.00411001.81000.91
Multithreading Test1001.21000.791001.0
All Tests1003.01001.61002.3

The results above show that in general ObjectDB embedded 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 embedded database (100) reveals that in these tests, ObjectDB embedded is 43.5 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 embedded database (100) reveals that in that case, ObjectDB embedded is 24,390 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
 ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
Basic Person Test10010.01003.91006.9
Element Collection Test1007.61003.91005.8
Inheritance Test1009.41004.41006.9
Indexing Test10010.61005.91008.2
Graph (Binary Tree) Test1005.91003.71004.8
Multithreading Test100failed100failed100failed
All Tests1008.71004.41006.5

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

The results above show that in general ObjectDB embedded 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 embedded database (100) reveals that in these tests, ObjectDB embedded is 15.4 times faster than DataNucleus with H2 embedded.

A huge performance gap has been detected when using graphs of objects with large transaction size. Comparing the normalized speed of DataNucleus with H2 embedded database (3.7) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 27.0 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
 ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
Basic Person Test1004.21001.31002.8
Element Collection Test1004.91001.61003.2
Inheritance Test1004.01001.31002.7
Indexing Test1007.51001.91004.7
Graph (Binary Tree) Test1005.61004.11004.8
Multithreading Test100failed100failed100failed
All Tests1005.21002.01003.6

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

The results above show that in general ObjectDB embedded 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 embedded database (100) reveals that in these tests, ObjectDB embedded is 27.8 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 embedded database (100) reveals that in that case, ObjectDB embedded is 76.9 times faster than DataNucleus with H2 embedded.

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

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
Basic Person Test10027.010027.010027.0
Element Collection Test10022.410022.410022.4
Inheritance Test10027.010027.010027.0
Indexing Test10031.610032.110031.9
Graph (Binary Tree) Test10020.010015.010017.5
Multithreading Test91.133.922.09.256.621.5
All Tests98.527.087.022.192.824.6

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with H2 embedded in using disk space. Comparing the normalized score of DataNucleus with H2 embedded database (24.6) to the normalized score of ObjectDB embedded database (92.8) reveals that in these tests, ObjectDB embedded is 3.8 times more efficient than DataNucleus with H2 embedded.

A large gap has been detected when using graphs of objects with large transaction size. Comparing the normalized score of DataNucleus with H2 embedded database (15.0) to the normalized score of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 6.7 times more efficient than DataNucleus with H2 embedded.

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

Transaction/Retrieval SizeFew EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
ObjectDB embeddedDataNucleus
H2 embedded
Basic Person Test10010.31005.61007.9
Element Collection Test1006.11003.91005.0
Inheritance Test1009.01004.91006.9
Indexing Test10010.11007.61008.9
Graph (Binary Tree) Test97.17.81008.798.58.3
Multithreading Test10016.51005.910011.2
All Tests99.69.61006.099.87.8

The results above show that in general ObjectDB embedded 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 embedded database (99.8) reveals that in these tests, ObjectDB embedded is 12.8 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 embedded database (100) reveals that in that case, ObjectDB embedded is 25.6 times faster than DataNucleus with H2 embedded.

Other Head to Head DBMS/JPA Comparisons