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JPA Performance Benchmark (JPAB)

Comparison of OpenJPA with H2 server vs DataNucleus with DB4O 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
	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded
Basic Person Test	3.7	0.059	2.2	1.3	2.9	0.69
Element Collection Test	2.6	0.045	1.5	1.0	2.1	0.52
Inheritance Test	4.5	0.051	2.0	0.85	3.2	0.45
Indexing Test	7.3	0.080	3.6	2.3	5.4	1.2
Graph (Binary Tree) Test	1.1	failed	0.84	failed	0.97	failed
Multithreading Test	7.7	failed	4.2	failed	5.9	failed
All Tests	4.5	0.059	2.4	1.4	3.4	0.71

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general OpenJPA with H2 server is much more efficient than DataNucleus with DB4O embedded in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.71) to the normalized speed of OpenJPA with H2 database server (3.4) reveals that in these tests, OpenJPA with H2 server is 4.8 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using database indexes with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.080) to the normalized speed of OpenJPA with H2 database server (7.3) reveals that in that case, OpenJPA with H2 server is 91.2 times faster than DataNucleus with DB4O embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded
Basic Person Test	2.9	0.0047	7.6	1.8	5.2	0.90
Element Collection Test	0.0022	0.0038	1.9	1.5	0.93	0.77
Inheritance Test	0.013	0.0035	4.0	2.2	2.0	1.1
Indexing Test	4.1	0.0043	8.8	1.8	6.5	0.89
Graph (Binary Tree) Test	0.38	failed	0.49	failed	0.44	failed
Multithreading Test	5.9	failed	14.0	failed	10.0	failed
All Tests	2.2	0.0041	6.1	1.8	4.2	0.91

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general OpenJPA with H2 server is much more efficient than DataNucleus with DB4O embedded in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.91) to the normalized speed of OpenJPA with H2 database server (4.2) reveals that in these tests, OpenJPA with H2 server is 4.6 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.0043) to the normalized speed of OpenJPA with H2 database server (4.1) reveals that in that case, OpenJPA with H2 server is 953 times faster than DataNucleus with DB4O embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded
Basic Person Test	3.7	failed	1.0	failed	2.4	failed
Element Collection Test	2.0	failed	1.2	failed	1.6	failed
Inheritance Test	2.8	failed	1.1	failed	2.0	failed
Indexing Test	3.8	failed	7.5	failed	5.7	failed
Multithreading Test	0.98	failed	1.0	failed	1.0	failed
All Tests	2.7	failed	2.4	failed	2.5	failed

DataNucleus with DB4O embedded has failed in 10 tests (see exceptions).

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded
Basic Person Test	3.0	0.012	2.0	0.76	2.5	0.39
Element Collection Test	0.0078	0.012	1.9	1.1	0.94	0.53
Inheritance Test	0.034	0.011	2.8	0.81	1.4	0.41
Indexing Test	2.8	0.011	3.2	1.3	3.0	0.64
Graph (Binary Tree) Test	0.79	failed	0.43	failed	0.61	failed
Multithreading Test	7.0	failed	2.5	failed	4.8	failed
All Tests	2.3	0.012	2.1	0.97	2.2	0.49

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general OpenJPA with H2 server is much more efficient than DataNucleus with DB4O embedded in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.49) to the normalized speed of OpenJPA with H2 database server (2.2) reveals that in these tests, OpenJPA with H2 server is 4.5 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using database indexes with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.011) to the normalized speed of OpenJPA with H2 database server (2.8) reveals that in that case, OpenJPA with H2 server is 255 times faster than DataNucleus with DB4O embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded
Basic Person Test	3.2	0.011	2.2	1.5	2.7	0.74
Element Collection Test	0.0060	0.010	0.88	1.6	0.44	0.80
Inheritance Test	0.030	0.0093	3.1	1.1	1.6	0.57
Indexing Test	6.5	0.017	3.6	2.1	5.1	1.1
Graph (Binary Tree) Test	0.73	failed	0.75	failed	0.74	failed
Multithreading Test	7.6	failed	5.2	failed	6.4	failed
All Tests	3.0	0.012	2.6	1.6	2.8	0.79

DataNucleus with DB4O embedded has failed in 4 tests (see exceptions).

The results above show that in general OpenJPA with H2 server is much more efficient than DataNucleus with DB4O embedded in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.79) to the normalized speed of OpenJPA with H2 database server (2.8) reveals that in these tests, OpenJPA with H2 server is 3.5 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using database indexes with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.017) to the normalized speed of OpenJPA with H2 database server (6.5) reveals that in that case, OpenJPA with H2 server is 382 times faster than DataNucleus with DB4O embedded.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded	OpenJPA H2 server	DataNucleus DB4O embedded
Basic Person Test	3.3	0.022	3.0	1.3	3.1	0.68
Element Collection Test	0.93	0.018	1.5	1.3	1.2	0.66
Inheritance Test	1.5	0.019	2.6	1.2	2.0	0.63
Indexing Test	4.9	0.028	5.4	1.9	5.1	0.94
Graph (Binary Tree) Test	0.75	failed	0.63	failed	0.69	failed
Multithreading Test	5.9	failed	5.4	failed	5.6	failed
All Tests	2.9	0.022	3.2	1.4	3.0	0.73

The results above show that in general OpenJPA with H2 server is much more efficient than DataNucleus with DB4O embedded in performing JPA database operations. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.73) to the normalized speed of OpenJPA with H2 database server (3.0) reveals that in these tests, OpenJPA with H2 server is 4.1 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using database indexes with small transaction/retrieval size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.028) to the normalized speed of OpenJPA with H2 database server (4.9) reveals that in that case, OpenJPA with H2 server is 175 times faster than DataNucleus with DB4O embedded.

Other Head to Head DBMS/JPA Comparisons

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