Comparison of DataNucleus with HSQLDB embedded vs OpenJPA 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 Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded
Basic Person Test	14.2	17.1	4.8	5.8	9.5	11.5
Element Collection Test	6.6	10.9	2.1	4.9	4.3	7.9
Inheritance Test	13.6	14.3	4.6	5.9	9.1	10.1
Indexing Test	24.6	24.4	11.1	13.7	17.8	19.1
Graph (Binary Tree) Test	6.8	6.8	4.5	6.7	5.7	6.7
Multithreading Test	38.5	34.2	8.5	10.2	23.5	22.2
All Tests	17.4	17.9	5.9	7.9	11.7	12.9

The results above show that in general OpenJPA with H2 embedded is slightly more efficient than DataNucleus with HSQLDB embedded in persisting JPA entity objects to the database.

A large 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 OpenJPA with H2 embedded database (4.9) reveals that in that case, OpenJPA with H2 embedded is 2.3 times faster than DataNucleus with HSQLDB embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded
Basic Person Test	6.6	14.6	10.2	27.2	8.4	20.9
Element Collection Test	3.6	0.0046	8.1	4.3	5.8	2.1
Inheritance Test	5.7	0.011	8.8	7.4	7.2	3.7
Indexing Test	5.1	17.0	9.5	35.0	7.3	26.0
Graph (Binary Tree) Test	7.2	1.0	9.3	1.4	8.3	1.2
Multithreading Test	8.1	18.7	9.5	27.6	8.8	23.1
All Tests	6.0	8.6	9.2	17.1	7.6	12.8

The results above show that in general OpenJPA with H2 embedded is more efficient than DataNucleus with HSQLDB embedded in retrieving JPA entity objects from the database.

A large performance gap has been detected when using database indexes with large retrieval size. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (9.5) to the normalized speed of OpenJPA with H2 embedded database (35.0) reveals that in that case, OpenJPA with H2 embedded is 3.7 times faster than DataNucleus with HSQLDB embedded.

On the other hand, OpenJPA with H2 embedded is slower, for instance, when using JPA element collections with small retrieval size. Comparing the normalized speed of OpenJPA with H2 embedded database (0.0046) to the normalized speed of DataNucleus with HSQLDB embedded database (3.6) reveals that in that case, OpenJPA with H2 embedded is 783 times slower than DataNucleus with HSQLDB embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded
Basic Person Test	1.4	5.0	0.48	1.1	0.95	3.1
Element Collection Test	1.3	1.7	0.67	1.3	1.0	1.5
Inheritance Test	1.6	2.2	0.61	1.2	1.1	1.7
Indexing Test	0.0016	13.8	0.63	23.2	0.32	18.5
Multithreading Test	0.40	1.4	failed	0.60	0.40	0.99
All Tests	0.96	4.8	0.60	5.5	0.80	5.1

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

The results above show that in general OpenJPA with H2 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 OpenJPA with H2 embedded database (5.1) reveals that in these tests, OpenJPA with H2 embedded is 6.4 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 OpenJPA with H2 embedded database (13.8) reveals that in that case, OpenJPA with H2 embedded is 8,625 times faster than DataNucleus with HSQLDB embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded
Basic Person Test	11.5	10.0	2.7	6.0	7.1	8.0
Element Collection Test	6.9	0.011	2.7	3.8	4.8	1.9
Inheritance Test	10.3	0.046	3.6	5.0	6.9	2.5
Indexing Test	11.4	8.9	4.4	7.0	7.9	8.0
Graph (Binary Tree) Test	3.5	2.4	1.5	1.3	2.5	1.9
Multithreading Test	failed	16.6	failed	4.3	failed	10.4
All Tests	8.7	6.3	3.0	4.6	5.8	5.4

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

The results above show that in general DataNucleus with HSQLDB embedded is slightly more efficient than OpenJPA with H2 embedded in updating JPA entity objects in the database.

A huge performance gap has been detected when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with H2 embedded database (0.011) to the normalized speed of DataNucleus with HSQLDB embedded database (6.9) reveals that in that case, DataNucleus with HSQLDB embedded is 627 times faster than OpenJPA with H2 embedded.

On the other hand, DataNucleus with HSQLDB embedded is slower, for instance, when using simple basic entities with large transaction size. Comparing the normalized speed of DataNucleus with HSQLDB embedded database (2.7) to the normalized speed of OpenJPA with H2 embedded database (6.0) reveals that in that case, DataNucleus with HSQLDB embedded is 2.2 times slower than OpenJPA with H2 embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded
Basic Person Test	4.2	18.3	1.3	11.1	2.8	14.7
Element Collection Test	4.9	0.012	1.6	2.9	3.2	1.4
Inheritance Test	4.0	0.030	1.3	6.6	2.7	3.3
Indexing Test	7.5	23.2	1.9	9.7	4.7	16.4
Graph (Binary Tree) Test	2.9	1.8	2.0	2.4	2.5	2.1
Multithreading Test	40.1	31.2	13.7	17.3	26.9	24.2
All Tests	10.6	12.4	3.7	8.3	7.1	10.4

The results above show that in general OpenJPA with H2 embedded is more efficient than DataNucleus with HSQLDB embedded in deleting JPA entity objects from the database.

A large 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 OpenJPA with H2 embedded database (11.1) reveals that in that case, OpenJPA with H2 embedded is 8.5 times faster than DataNucleus with HSQLDB embedded.

On the other hand, OpenJPA with H2 embedded is slower, for instance, when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with H2 embedded database (0.012) to the normalized speed of DataNucleus with HSQLDB embedded database (4.9) reveals that in that case, OpenJPA with H2 embedded is 408 times slower than DataNucleus with HSQLDB embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded
Basic Person Test	41.4	27.0	41.4	27.0	41.4	27.0
Element Collection Test	23.4	30.6	23.4	30.6	23.4	30.6
Inheritance Test	41.4	27.0	41.4	27.0	41.4	27.0
Indexing Test	48.4	31.6	49.2	32.1	48.8	31.9
Graph (Binary Tree) Test	12.5	28.5	9.4	21.4	10.9	24.9
Multithreading Test	51.9	33.9	10.3	9.2	31.1	21.5
All Tests	36.5	29.8	29.2	24.5	32.9	27.2

The results above show that in general DataNucleus with HSQLDB embedded is slightly more efficient than OpenJPA with H2 embedded in using disk space.

On the other hand, DataNucleus with HSQLDB embedded is slower, for instance, when using graphs of objects with small transaction size. Comparing the normalized score of DataNucleus with HSQLDB embedded database (12.5) to the normalized score of OpenJPA with H2 embedded database (28.5) reveals that in that case, DataNucleus with HSQLDB embedded is 2.3 times less efficient than OpenJPA with H2 embedded.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded	DataNucleus HSQLDB embedded	OpenJPA H2 embedded
Basic Person Test	7.6	13.0	3.9	10.2	5.7	11.6
Element Collection Test	4.7	2.5	3.0	3.4	3.8	3.0
Inheritance Test	7.1	3.3	3.8	5.2	5.4	4.3
Indexing Test	9.7	17.5	5.5	17.7	7.6	17.6
Graph (Binary Tree) Test	5.1	3.0	4.3	3.0	4.7	3.0
Multithreading Test	21.8	20.4	10.6	12.0	17.0	16.2
All Tests	9.0	10.2	4.8	8.8	7.0	9.5

The results above show that in general OpenJPA with H2 embedded is more efficient than DataNucleus with HSQLDB 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 HSQLDB embedded database (5.5) to the normalized speed of OpenJPA with H2 embedded database (17.7) reveals that in that case, OpenJPA with H2 embedded is 3.2 times faster than DataNucleus with HSQLDB embedded.

On the other hand, OpenJPA with H2 embedded is slower, for instance, when using class inheritance in the object model with small transaction/retrieval size. Comparing the normalized speed of OpenJPA with H2 embedded database (3.3) to the normalized speed of DataNucleus with HSQLDB embedded database (7.1) reveals that in that case, OpenJPA with H2 embedded is 2.2 times slower than DataNucleus with HSQLDB embedded.

JPA Performance Benchmark (JPAB)