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JPA Performance Benchmark (JPAB)

Comparison of DataNucleus with Derby embedded vs OpenJPA 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 Entities		Many Entities		Average Score
	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded
Basic Person Test	4.6	13.3	2.8	6.9	3.7	10.1
Element Collection Test	2.4	8.6	1.6	5.3	2.0	7.0
Inheritance Test	4.6	12.2	2.7	5.8	3.7	9.0
Indexing Test	7.6	16.7	4.8	9.1	6.2	12.9
Graph (Binary Tree) Test	1.6	6.1	1.4	7.3	1.5	6.7
Multithreading Test	8.6	26.8	3.3	7.0	5.9	16.9
All Tests	4.9	13.9	2.8	6.9	3.8	10.4

The results above show that in general OpenJPA with HSQLDB embedded is more efficient than DataNucleus with Derby embedded in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with Derby embedded database (3.8) to the normalized speed of OpenJPA with HSQLDB embedded database (10.4) reveals that in these tests, OpenJPA with HSQLDB embedded is 2.7 times faster than DataNucleus with Derby embedded.

A large performance gap has been detected when using graphs of objects with large transaction size. Comparing the normalized speed of DataNucleus with Derby embedded database (1.4) to the normalized speed of OpenJPA with HSQLDB embedded database (7.3) reveals that in that case, OpenJPA with HSQLDB embedded is 5.2 times faster than DataNucleus with Derby embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded
Basic Person Test	6.8	21.8	14.9	30.1	10.9	25.9
Element Collection Test	5.4	0.0068	7.6	4.5	6.5	2.2
Inheritance Test	8.8	0.0025	14.8	2.0	11.8	0.98
Indexing Test	9.2	22.1	14.1	43.6	11.6	32.9
Graph (Binary Tree) Test	9.9	2.1	15.8	2.1	12.9	2.1
Multithreading Test	11.9	20.9	11.5	23.5	11.7	22.2
All Tests	8.7	11.1	13.1	17.6	10.9	14.4

The results above show that in general OpenJPA with HSQLDB embedded is more efficient than DataNucleus with Derby embedded in retrieving JPA entity objects from the database.

A large performance gap has been detected when using simple basic entities with small retrieval size. Comparing the normalized speed of DataNucleus with Derby embedded database (6.8) to the normalized speed of OpenJPA with HSQLDB embedded database (21.8) reveals that in that case, OpenJPA with HSQLDB embedded is 3.2 times faster than DataNucleus with Derby embedded.

On the other hand, OpenJPA with HSQLDB embedded is slower, for instance, when using class inheritance in the object model with small retrieval size. Comparing the normalized speed of OpenJPA with HSQLDB embedded database (0.0025) to the normalized speed of DataNucleus with Derby embedded database (8.8) reveals that in that case, OpenJPA with HSQLDB embedded is 3,520 times slower than DataNucleus with Derby embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded
Basic Person Test	39.1	2.8	7.5	0.91	23.3	1.9
Element Collection Test	46.0	1.4	6.7	0.95	26.3	1.2
Inheritance Test	7.7	2.4	3.8	1.3	5.7	1.8
Indexing Test	0.053	15.4	8.0	34.3	4.0	24.9
Multithreading Test	failed	1.4	failed	0.53	failed	0.95
All Tests	23.2	4.7	6.5	7.6	14.8	6.1

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

The results above show that in general DataNucleus with Derby embedded is more efficient than OpenJPA with HSQLDB embedded in executing the tested JPA queries. Comparing the normalized speed of OpenJPA with HSQLDB embedded database (6.1) to the normalized speed of DataNucleus with Derby embedded database (14.8) reveals that in these tests, DataNucleus with Derby embedded is 2.4 times faster than OpenJPA with HSQLDB embedded.

A huge performance gap has been detected when using JPA element collections with small retrieval size. Comparing the normalized speed of OpenJPA with HSQLDB embedded database (1.4) to the normalized speed of DataNucleus with Derby embedded database (46.0) reveals that in that case, DataNucleus with Derby embedded is 32.9 times faster than OpenJPA with HSQLDB embedded.

On the other hand, DataNucleus with Derby embedded is slower, for instance, when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with Derby embedded database (0.053) to the normalized speed of OpenJPA with HSQLDB embedded database (15.4) reveals that in that case, DataNucleus with Derby embedded is 291 times slower than OpenJPA with HSQLDB embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded
Basic Person Test	4.0	12.0	3.8	5.3	3.9	8.6
Element Collection Test	3.7	0.017	4.5	3.7	4.1	1.8
Inheritance Test	4.4	0.0098	4.8	2.0	4.6	0.99
Indexing Test	5.2	9.3	4.2	5.5	4.7	7.4
Graph (Binary Tree) Test	2.7	2.5	1.5	1.6	2.1	2.1
Multithreading Test	failed	20.0	failed	3.7	failed	11.8
All Tests	4.0	7.3	3.7	3.6	3.9	5.5

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

The results above show that in general OpenJPA with HSQLDB embedded is more efficient than DataNucleus with Derby embedded in updating JPA entity objects in the database.

A large performance gap has been detected when using simple basic entities with small transaction size. Comparing the normalized speed of DataNucleus with Derby embedded database (4.0) to the normalized speed of OpenJPA with HSQLDB embedded database (12.0) reveals that in that case, OpenJPA with HSQLDB embedded is 3.0 times faster than DataNucleus with Derby embedded.

On the other hand, OpenJPA with HSQLDB embedded is slower, for instance, when using class inheritance in the object model with small transaction size. Comparing the normalized speed of OpenJPA with HSQLDB embedded database (0.0098) to the normalized speed of DataNucleus with Derby embedded database (4.4) reveals that in that case, OpenJPA with HSQLDB embedded is 449 times slower than DataNucleus with Derby embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded
Basic Person Test	3.5	21.3	1.3	15.7	2.4	18.5
Element Collection Test	1.9	0.011	1.6	2.9	1.7	1.5
Inheritance Test	2.4	0.0070	1.3	3.5	1.9	1.8
Indexing Test	6.6	28.8	1.9	15.2	4.3	22.0
Graph (Binary Tree) Test	0.81	2.9	0.93	3.6	0.87	3.2
Multithreading Test	failed	26.0	failed	19.6	failed	22.8
All Tests	3.0	13.2	1.4	10.1	2.2	11.6

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

The results above show that in general OpenJPA with HSQLDB embedded is much more efficient than DataNucleus with Derby embedded in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with Derby embedded database (2.2) to the normalized speed of OpenJPA with HSQLDB embedded database (11.6) reveals that in these tests, OpenJPA with HSQLDB embedded is 5.3 times faster than DataNucleus with Derby embedded.

A huge performance gap has been detected when using simple basic entities with large transaction size. Comparing the normalized speed of DataNucleus with Derby embedded database (1.3) to the normalized speed of OpenJPA with HSQLDB embedded database (15.7) reveals that in that case, OpenJPA with HSQLDB embedded is 12.1 times faster than DataNucleus with Derby embedded.

On the other hand, OpenJPA with HSQLDB embedded is slower, for instance, when using class inheritance in the object model with small transaction size. Comparing the normalized speed of OpenJPA with HSQLDB embedded database (0.0070) to the normalized speed of DataNucleus with Derby embedded database (2.4) reveals that in that case, OpenJPA with HSQLDB embedded is 343 times slower than DataNucleus with Derby embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded
Basic Person Test	53.3	41.4	53.3	41.4	53.3	41.4
Element Collection Test	42.6	46.9	42.6	46.9	42.6	46.9
Inheritance Test	48.1	41.4	48.1	41.4	48.1	41.4
Indexing Test	62.3	48.4	63.3	49.2	62.8	48.8
Graph (Binary Tree) Test	13.6	28.5	10.2	21.4	11.9	25.0
Multithreading Test	52.0	51.9	8.0	10.3	30.0	31.1
All Tests	45.3	43.1	37.6	35.1	41.5	39.1

The results above show that in general DataNucleus with Derby embedded is slightly more efficient than OpenJPA with HSQLDB embedded in using disk space.

On the other hand, DataNucleus with Derby embedded is slower, for instance, when using graphs of objects with large transaction size. Comparing the normalized score of DataNucleus with Derby embedded database (10.2) to the normalized score of OpenJPA with HSQLDB embedded database (21.4) reveals that in that case, DataNucleus with Derby embedded is 2.1 times less efficient than OpenJPA with HSQLDB embedded.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded	DataNucleus Derby embedded	OpenJPA HSQLDB embedded
Basic Person Test	11.6	14.3	6.1	11.8	8.8	13.0
Element Collection Test	11.9	2.0	4.4	3.5	8.1	2.7
Inheritance Test	5.6	2.9	5.5	2.9	5.5	2.9
Indexing Test	5.7	18.5	6.6	21.6	6.2	20.0
Graph (Binary Tree) Test	3.7	3.4	4.9	3.7	4.3	3.5
Multithreading Test	10.3	19.0	7.4	10.9	8.8	14.9
All Tests	8.0	10.2	5.7	9.2	6.9	9.7

The results above show that in general OpenJPA with HSQLDB embedded is more efficient than DataNucleus with Derby embedded in performing JPA database operations.

A large performance gap has been detected when using database indexes with large transaction/retrieval size. Comparing the normalized speed of DataNucleus with Derby embedded database (6.6) to the normalized speed of OpenJPA with HSQLDB embedded database (21.6) reveals that in that case, OpenJPA with HSQLDB embedded is 3.3 times faster than DataNucleus with Derby embedded.

On the other hand, OpenJPA with HSQLDB embedded is slower, for instance, when using JPA element collections with small transaction/retrieval size. Comparing the normalized speed of OpenJPA with HSQLDB embedded database (2.0) to the normalized speed of DataNucleus with Derby embedded database (11.9) reveals that in that case, OpenJPA with HSQLDB embedded is 6.0 times slower than DataNucleus with Derby embedded.

Other Head to Head DBMS/JPA Comparisons

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