Comparison of OpenJPA with Derby embedded vs DataNucleus with MySQL server

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
	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server
Basic Person Test	4.8	2.6	2.9	1.4	3.9	2.0
Element Collection Test	2.8	1.0	1.9	0.48	2.4	0.76
Inheritance Test	4.1	2.5	2.4	1.3	3.3	1.9
Indexing Test	6.1	4.0	4.1	2.5	5.1	3.3
Graph (Binary Tree) Test	1.5	1.1	1.4	0.99	1.4	1.1
Multithreading Test	8.7	6.2	3.3	2.5	6.0	4.4
All Tests	4.7	2.9	2.7	1.5	3.7	2.2

The results above show that in general OpenJPA with Derby embedded is more efficient than DataNucleus with MySQL server 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 MySQL database server (0.48) to the normalized speed of OpenJPA with Derby embedded database (1.9) reveals that in that case, OpenJPA with Derby embedded is 4.0 times faster than DataNucleus with MySQL server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server
Basic Person Test	14.8	0.96	22.6	9.3	18.7	5.1
Element Collection Test	0.0031	0.18	2.3	0.77	1.2	0.47
Inheritance Test	0.015	0.55	7.0	8.5	3.5	4.5
Indexing Test	11.7	0.82	26.5	9.7	19.1	5.3
Graph (Binary Tree) Test	0.93	2.1	1.2	3.5	1.1	2.8
Multithreading Test	25.2	0.27	28.6	7.8	26.9	4.0
All Tests	8.8	0.81	14.7	6.6	11.7	3.7

The results above show that in general OpenJPA with Derby embedded is much more efficient than DataNucleus with MySQL server in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with MySQL database server (3.7) to the normalized speed of OpenJPA with Derby embedded database (11.7) reveals that in these tests, OpenJPA with Derby embedded is 3.2 times faster than DataNucleus with MySQL server.

A huge performance gap has been detected when using multithreading with small retrieval size. Comparing the normalized speed of DataNucleus with MySQL database server (0.27) to the normalized speed of OpenJPA with Derby embedded database (25.2) reveals that in that case, OpenJPA with Derby embedded is 93.3 times faster than DataNucleus with MySQL server.

On the other hand, OpenJPA with Derby embedded is slower, for instance, when using JPA element collections with small retrieval size. Comparing the normalized speed of OpenJPA with Derby embedded database (0.0031) to the normalized speed of DataNucleus with MySQL database server (0.18) reveals that in that case, OpenJPA with Derby embedded is 58.1 times slower than DataNucleus with MySQL server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server
Basic Person Test	49.7	7.2	9.9	2.2	29.8	4.7
Element Collection Test	2.7	5.8	9.6	0.27	6.1	3.1
Inheritance Test	2.3	2.9	1.3	1.7	1.8	2.3
Indexing Test	7.0	0.0084	17.1	2.5	12.1	1.2
Multithreading Test	40.9	failed	11.7	failed	26.3	failed
All Tests	20.5	4.0	9.9	1.7	15.2	2.8

DataNucleus with MySQL server has failed in 2 tests (see exceptions).

The results above show that in general OpenJPA with Derby embedded is much more efficient than DataNucleus with MySQL server in executing the tested JPA queries. Comparing the normalized speed of DataNucleus with MySQL database server (2.8) to the normalized speed of OpenJPA with Derby embedded database (15.2) reveals that in these tests, OpenJPA with Derby embedded is 5.4 times faster than DataNucleus with MySQL server.

A huge performance gap has been detected when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with MySQL database server (0.0084) to the normalized speed of OpenJPA with Derby embedded database (7.0) reveals that in that case, OpenJPA with Derby embedded is 833 times faster than DataNucleus with MySQL server.

On the other hand, OpenJPA with Derby embedded is slower, for instance, when using JPA element collections with small retrieval size. Comparing the normalized speed of OpenJPA with Derby embedded database (2.7) to the normalized speed of DataNucleus with MySQL database server (5.8) reveals that in that case, OpenJPA with Derby embedded is 2.1 times slower than DataNucleus with MySQL server.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server
Basic Person Test	5.6	0.61	5.2	1.1	5.4	0.88
Element Collection Test	0.0090	0.31	2.2	0.44	1.1	0.38
Inheritance Test	0.045	0.51	4.6	1.8	2.3	1.1
Indexing Test	6.1	0.68	8.7	2.2	7.4	1.5
Graph (Binary Tree) Test	1.6	0.91	0.91	0.47	1.3	0.69
Multithreading Test	18.3	0.64	4.5	failed	11.4	0.64
All Tests	5.3	0.61	4.4	1.2	4.8	0.88

DataNucleus with MySQL server has failed in 1 tests (see exceptions).

The results above show that in general OpenJPA with Derby embedded is much more efficient than DataNucleus with MySQL server in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with MySQL database server (0.88) to the normalized speed of OpenJPA with Derby embedded database (4.8) reveals that in these tests, OpenJPA with Derby embedded is 5.5 times faster than DataNucleus with MySQL server.

A huge performance gap has been detected when using multithreading with small transaction size. Comparing the normalized speed of DataNucleus with MySQL database server (0.64) to the normalized speed of OpenJPA with Derby embedded database (18.3) reveals that in that case, OpenJPA with Derby embedded is 28.6 times faster than DataNucleus with MySQL server.

On the other hand, OpenJPA with Derby embedded is slower, for instance, when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with Derby embedded database (0.0090) to the normalized speed of DataNucleus with MySQL database server (0.31) reveals that in that case, OpenJPA with Derby embedded is 34.4 times slower than DataNucleus with MySQL server.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server
Basic Person Test	4.2	0.70	4.5	1.3	4.3	1.0
Element Collection Test	0.0071	0.17	1.6	0.40	0.80	0.29
Inheritance Test	0.035	0.41	3.0	1.3	1.5	0.87
Indexing Test	5.3	1.7	3.6	1.9	4.4	1.8
Graph (Binary Tree) Test	0.80	0.49	0.93	0.46	0.86	0.47
Multithreading Test	5.7	failed	6.2	failed	6.0	failed
All Tests	2.7	0.69	3.3	1.1	3.0	0.89

DataNucleus with MySQL server has failed in 2 tests (see exceptions).

The results above show that in general OpenJPA with Derby embedded is much more efficient than DataNucleus with MySQL server in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with MySQL database server (0.89) to the normalized speed of OpenJPA with Derby embedded database (3.0) reveals that in these tests, OpenJPA with Derby embedded is 3.4 times faster than DataNucleus with MySQL server.

A large performance gap has been detected when using simple basic entities with small transaction size. Comparing the normalized speed of DataNucleus with MySQL database server (0.70) to the normalized speed of OpenJPA with Derby embedded database (4.2) reveals that in that case, OpenJPA with Derby embedded is 6.0 times faster than DataNucleus with MySQL server.

On the other hand, OpenJPA with Derby embedded is slower, for instance, when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with Derby embedded database (0.0071) to the normalized speed of DataNucleus with MySQL database server (0.17) reveals that in that case, OpenJPA with Derby embedded is 23.9 times slower than DataNucleus with MySQL server.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server	OpenJPA Derby embedded	DataNucleus MySQL server
Basic Person Test	15.8	2.4	9.0	3.1	12.4	2.7
Element Collection Test	1.1	1.5	3.5	0.47	2.3	0.99
Inheritance Test	1.3	1.4	3.7	2.9	2.5	2.1
Indexing Test	7.2	1.4	12.0	3.8	9.6	2.6
Graph (Binary Tree) Test	1.2	1.2	1.1	1.4	1.2	1.3
Multithreading Test	19.8	2.4	10.9	5.1	15.3	3.5
All Tests	8.0	1.7	6.9	2.6	7.4	2.1

The results above show that in general OpenJPA with Derby embedded is much more efficient than DataNucleus with MySQL server in performing JPA database operations. Comparing the normalized speed of DataNucleus with MySQL database server (2.1) to the normalized speed of OpenJPA with Derby embedded database (7.4) reveals that in these tests, OpenJPA with Derby embedded is 3.5 times faster than DataNucleus with MySQL server.

A large performance gap has been detected when using multithreading with small transaction/retrieval size. Comparing the normalized speed of DataNucleus with MySQL database server (2.4) to the normalized speed of OpenJPA with Derby embedded database (19.8) reveals that in that case, OpenJPA with Derby embedded is 8.2 times faster than DataNucleus with MySQL server.

JPA Performance Benchmark (JPAB)