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Comparison of ObjectDB embedded vs DataNucleus with HSQLDB 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
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
Basic Person Test10014.21004.81009.5
Element Collection Test1006.61002.11004.3
Inheritance Test10013.61004.61009.1
Indexing Test10024.610011.110017.8
Graph (Binary Tree) Test88.46.81004.594.25.7
Multithreading Test10038.51008.510023.5
All Tests98.117.41005.999.011.7

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with HSQLDB embedded in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (11.7) to the normalized speed of ObjectDB embedded database (99.0) reveals that in these tests, ObjectDB embedded is 8.5 times faster than DataNucleus with HSQLDB embedded.

A huge performance gap has been detected when using JPA element collections with large transaction size. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (2.1) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 47.6 times faster than DataNucleus with HSQLDB embedded.

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

Retrieval Size =>Few EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
Basic Person Test1006.610010.21008.4
Element Collection Test1003.61008.11005.8
Inheritance Test1005.71008.81007.2
Indexing Test1005.11009.51007.3
Graph (Binary Tree) Test1007.21009.31008.3
Multithreading Test1008.11009.51008.8
All Tests1006.01009.21007.6

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with HSQLDB embedded in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (7.6) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 13.2 times faster than DataNucleus with HSQLDB embedded.

A huge performance gap has been detected when using JPA element collections with small retrieval size. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (3.6) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 27.8 times faster than DataNucleus with HSQLDB embedded.

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

Retrieval Size =>Few EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
Basic Person Test1001.41000.481000.95
Element Collection Test1001.31000.671001.0
Inheritance Test1001.61000.611001.1
Indexing Test1000.00161000.631000.32
Multithreading Test1000.40100failed1000.40
All Tests1000.961000.601000.80

DataNucleus with HSQLDB embedded has failed in 1 tests (see exceptions).

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with HSQLDB embedded in executing the tested JPA queries. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (0.80) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 125 times faster than DataNucleus with HSQLDB embedded.

A huge performance gap has been detected when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (0.0016) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 62,500 times faster than DataNucleus with HSQLDB embedded.

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

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
Basic Person Test10011.51002.71007.1
Element Collection Test1006.91002.71004.8
Inheritance Test10010.31003.61006.9
Indexing Test10011.41004.41007.9
Graph (Binary Tree) Test1003.51001.51002.5
Multithreading Test100failed100failed100failed
All Tests1008.71003.01005.8

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

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with HSQLDB embedded in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (5.8) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 17.2 times faster than DataNucleus with HSQLDB embedded.

A huge performance gap has been detected when using graphs of objects with large transaction size. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (1.5) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 66.7 times faster than DataNucleus with HSQLDB embedded.

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

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB 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) Test1002.91002.01002.5
Multithreading Test10040.110013.710026.9
All Tests10010.61003.71007.1

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with HSQLDB embedded in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (7.1) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 14.1 times faster than DataNucleus with HSQLDB embedded.

A huge performance gap has been detected when using simple basic entities with large transaction size. Comparing the normalized speed of DataNucleus with HSQLDB 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 HSQLDB embedded.

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

Transaction Size =>Few EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
Basic Person Test10041.410041.410041.4
Element Collection Test10023.410023.410023.4
Inheritance Test10041.410041.410041.4
Indexing Test10048.410049.210048.8
Graph (Binary Tree) Test10012.51009.410010.9
Multithreading Test91.151.922.010.356.631.1
All Tests98.536.587.029.292.832.9

The results above show that in general ObjectDB embedded is more efficient than DataNucleus with HSQLDB embedded in using disk space. Comparing the normalized score of DataNucleus with HSQLDB embedded database (32.9) to the normalized score of ObjectDB embedded database (92.8) reveals that in these tests, ObjectDB embedded is 2.8 times more efficient than DataNucleus with HSQLDB embedded.

A huge gap has been detected when using graphs of objects with large transaction size. Comparing the normalized score of DataNucleus with HSQLDB embedded database (9.4) to the normalized score of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 10.6 times more efficient than DataNucleus with HSQLDB embedded.

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

Transaction/Retrieval SizeFew EntitiesMany EntitiesAverage Score
 ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
Basic Person Test1007.61003.91005.7
Element Collection Test1004.71003.01003.8
Inheritance Test1007.11003.81005.4
Indexing Test1009.71005.51007.6
Graph (Binary Tree) Test97.15.11004.398.54.7
Multithreading Test10021.810010.610017.0
All Tests99.69.01004.899.87.0

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with HSQLDB embedded in performing JPA database operations. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (7.0) to the normalized speed of ObjectDB embedded database (99.8) reveals that in these tests, ObjectDB embedded is 14.3 times faster than DataNucleus with HSQLDB 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 HSQLDB embedded database (3.0) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 33.3 times faster than DataNucleus with HSQLDB embedded.

Other Head to Head DBMS/JPA Comparisons