Comparison of DataNucleus with HSQLDB embedded vs OpenJPA 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
	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server
Basic Person Test	14.2	3.9	4.8	1.6	9.5	2.7
Element Collection Test	6.6	1.6	2.1	0.68	4.3	1.1
Inheritance Test	13.6	3.6	4.6	1.4	9.1	2.5
Indexing Test	24.6	5.6	11.1	2.4	17.8	4.0
Graph (Binary Tree) Test	6.8	0.68	4.5	0.57	5.7	0.63
Multithreading Test	38.5	7.2	8.5	2.7	23.5	4.9
All Tests	17.4	3.7	5.9	1.5	11.7	2.6

The results above show that in general DataNucleus with HSQLDB embedded is much more efficient than OpenJPA with MySQL server in persisting JPA entity objects to the database. Comparing the normalized speed of OpenJPA with MySQL database server (2.6) to the normalized speed of DataNucleus with HSQLDB embedded database (11.7) reveals that in these tests, DataNucleus with HSQLDB embedded is 4.5 times faster than OpenJPA with MySQL server.

A large performance gap has been detected when using graphs of objects with small transaction size. Comparing the normalized speed of OpenJPA with MySQL database server (0.68) to the normalized speed of DataNucleus with HSQLDB embedded database (6.8) reveals that in that case, DataNucleus with HSQLDB embedded is 10.0 times faster than OpenJPA with MySQL server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server
Basic Person Test	6.6	3.2	10.2	22.7	8.4	12.9
Element Collection Test	3.6	0.0038	8.1	2.9	5.8	1.4
Inheritance Test	5.7	0.017	8.8	6.9	7.2	3.4
Indexing Test	5.1	2.4	9.5	23.4	7.3	12.9
Graph (Binary Tree) Test	7.2	0.27	9.3	0.35	8.3	0.31
Multithreading Test	8.1	0.14	9.5	18.1	8.8	9.1
All Tests	6.0	1.0	9.2	12.4	7.6	6.7

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

A huge performance gap has been detected when using JPA element collections with small retrieval size. Comparing the normalized speed of OpenJPA with MySQL database server (0.0038) to the normalized speed of DataNucleus with HSQLDB embedded database (3.6) reveals that in that case, DataNucleus with HSQLDB embedded is 947 times faster than OpenJPA with MySQL server.

On the other hand, DataNucleus with HSQLDB embedded is slower, for instance, 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 MySQL database server (23.4) reveals that in that case, DataNucleus with HSQLDB embedded is 2.5 times slower than OpenJPA with MySQL server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server
Basic Person Test	1.4	9.3	0.48	2.2	0.95	5.8
Element Collection Test	1.3	4.8	0.67	1.1	1.0	2.9
Inheritance Test	1.6	1.5	0.61	0.90	1.1	1.2
Indexing Test	0.0016	0.31	0.63	2.1	0.32	1.2
Multithreading Test	0.40	1.9	failed	0.99	0.40	1.4
All Tests	0.96	3.6	0.60	1.5	0.80	2.5

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

The results above show that in general OpenJPA with MySQL server 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 MySQL database server (2.5) reveals that in these tests, OpenJPA with MySQL server is 3.1 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 MySQL database server (0.31) reveals that in that case, OpenJPA with MySQL server is 194 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 MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server
Basic Person Test	11.5	0.74	2.7	1.6	7.1	1.2
Element Collection Test	6.9	0.014	2.7	1.7	4.8	0.87
Inheritance Test	10.3	0.048	3.6	2.0	6.9	1.0
Indexing Test	11.4	0.74	4.4	3.0	7.9	1.9
Graph (Binary Tree) Test	3.5	0.45	1.5	0.25	2.5	0.35
Multithreading Test	failed	0.55	failed	2.9	failed	1.7
All Tests	8.7	0.42	3.0	1.9	5.8	1.2

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

The results above show that in general DataNucleus with HSQLDB embedded is much more efficient than OpenJPA with MySQL server in updating JPA entity objects in the database. Comparing the normalized speed of OpenJPA with MySQL database server (1.2) to the normalized speed of DataNucleus with HSQLDB embedded database (5.8) reveals that in these tests, DataNucleus with HSQLDB embedded is 4.8 times faster than OpenJPA with MySQL server.

A huge performance gap has been detected when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with MySQL database server (0.014) to the normalized speed of DataNucleus with HSQLDB embedded database (6.9) reveals that in that case, DataNucleus with HSQLDB embedded is 493 times faster than OpenJPA with MySQL server.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server
Basic Person Test	4.2	0.98	1.3	1.7	2.8	1.4
Element Collection Test	4.9	0.0099	1.6	0.65	3.2	0.33
Inheritance Test	4.0	0.033	1.3	1.5	2.7	0.75
Indexing Test	7.5	0.64	1.9	2.0	4.7	1.3
Graph (Binary Tree) Test	2.9	0.41	2.0	0.43	2.5	0.42
Multithreading Test	40.1	0.27	13.7	2.9	26.9	1.6
All Tests	10.6	0.39	3.7	1.5	7.1	0.96

The results above show that in general DataNucleus with HSQLDB embedded is much more efficient than OpenJPA with MySQL server in deleting JPA entity objects from the database. Comparing the normalized speed of OpenJPA with MySQL database server (0.96) to the normalized speed of DataNucleus with HSQLDB embedded database (7.1) reveals that in these tests, DataNucleus with HSQLDB embedded is 7.4 times faster than OpenJPA with MySQL server.

A huge performance gap has been detected when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with MySQL database server (0.0099) to the normalized speed of DataNucleus with HSQLDB embedded database (4.9) reveals that in that case, DataNucleus with HSQLDB embedded is 495 times faster than OpenJPA with MySQL server.

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 MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server	DataNucleus HSQLDB embedded	OpenJPA MySQL server
Basic Person Test	7.6	3.6	3.9	6.0	5.7	4.8
Element Collection Test	4.7	1.3	3.0	1.4	3.8	1.3
Inheritance Test	7.1	1.0	3.8	2.5	5.4	1.8
Indexing Test	9.7	1.9	5.5	6.6	7.6	4.3
Graph (Binary Tree) Test	5.1	0.45	4.3	0.40	4.7	0.43
Multithreading Test	21.8	2.0	10.6	5.5	17.0	3.8
All Tests	9.0	1.8	4.8	3.9	7.0	2.8

The results above show that in general DataNucleus with HSQLDB embedded is more efficient than OpenJPA with MySQL server in performing JPA database operations. Comparing the normalized speed of OpenJPA with MySQL database server (2.8) to the normalized speed of DataNucleus with HSQLDB embedded database (7.0) reveals that in these tests, DataNucleus with HSQLDB embedded is 2.5 times faster than OpenJPA with MySQL server.

A huge performance gap has been detected when using graphs of objects with small transaction/retrieval size. Comparing the normalized speed of OpenJPA with MySQL database server (0.45) to the normalized speed of DataNucleus with HSQLDB embedded database (5.1) reveals that in that case, DataNucleus with HSQLDB embedded is 11.3 times faster than OpenJPA with MySQL server.

JPA Performance Benchmark (JPAB)