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Comparison of DataNucleus with HSQLDB 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
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embedded
Basic Person Test14.21004.81009.5100
Element Collection Test6.61002.11004.3100
Inheritance Test13.61004.61009.1100
Indexing Test24.610011.110017.8100
Graph (Binary Tree) Test6.888.44.51005.794.2
Multithreading Test38.51008.510023.5100
All Tests17.498.15.910011.799.0

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
 DataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embedded
Basic Person Test6.610010.21008.4100
Element Collection Test3.61008.11005.8100
Inheritance Test5.71008.81007.2100
Indexing Test5.11009.51007.3100
Graph (Binary Tree) Test7.21009.31008.3100
Multithreading Test8.11009.51008.8100
All Tests6.01009.21007.6100

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
 DataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embedded
Basic Person Test1.41000.481000.95100
Element Collection Test1.31000.671001.0100
Inheritance Test1.61000.611001.1100
Indexing Test0.00161000.631000.32100
Multithreading Test0.40100failed1000.40100
All Tests0.961000.601000.80100

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
 DataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embedded
Basic Person Test11.51002.71007.1100
Element Collection Test6.91002.71004.8100
Inheritance Test10.31003.61006.9100
Indexing Test11.41004.41007.9100
Graph (Binary Tree) Test3.51001.51002.5100
Multithreading Testfailed100failed100failed100
All Tests8.71003.01005.8100

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
 DataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embedded
Basic Person Test4.21001.31002.8100
Element Collection Test4.91001.61003.2100
Inheritance Test4.01001.31002.7100
Indexing Test7.51001.91004.7100
Graph (Binary Tree) Test2.91002.01002.5100
Multithreading Test40.110013.710026.9100
All Tests10.61003.71007.1100

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
 DataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embedded
Basic Person Test41.410041.410041.4100
Element Collection Test23.410023.410023.4100
Inheritance Test41.410041.410041.4100
Indexing Test48.410049.210048.8100
Graph (Binary Tree) Test12.51009.410010.9100
Multithreading Test51.991.110.322.031.156.6
All Tests36.598.529.287.032.992.8

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
 DataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embeddedDataNucleus
HSQLDB embedded
ObjectDB embedded
Basic Person Test7.61003.91005.7100
Element Collection Test4.71003.01003.8100
Inheritance Test7.11003.81005.4100
Indexing Test9.71005.51007.6100
Graph (Binary Tree) Test5.197.14.31004.798.5
Multithreading Test21.810010.610017.0100
All Tests9.099.64.81007.099.8

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