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JPA Performance Benchmark (JPAB)

Comparison of DataNucleus with Derby server vs OpenJPA with Derby 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 Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server
Basic Person Test	2.8	3.1	2.3	2.7	2.6	2.9
Element Collection Test	0.71	2.0	0.35	1.7	0.53	1.8
Inheritance Test	2.7	3.0	2.0	2.3	2.3	2.6
Indexing Test	4.5	4.7	4.0	4.1	4.3	4.4
Graph (Binary Tree) Test	0.62	0.71	0.53	0.64	0.57	0.67
Multithreading Test	4.9	6.0	3.4	3.8	4.1	4.9
All Tests	2.7	3.3	2.1	2.5	2.4	2.9

The results above show that in general OpenJPA with Derby server is slightly more efficient than DataNucleus with Derby 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 Derby database server (0.35) to the normalized speed of OpenJPA with Derby database server (1.7) reveals that in that case, OpenJPA with Derby server is 4.9 times faster than DataNucleus with Derby server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server
Basic Person Test	0.56	0.78	6.3	11.6	3.4	6.2
Element Collection Test	0.36	0.0024	0.93	1.1	0.64	0.54
Inheritance Test	0.45	0.014	6.8	5.0	3.6	2.5
Indexing Test	0.50	0.62	7.1	13.0	3.8	6.8
Graph (Binary Tree) Test	0.22	0.065	6.6	0.39	3.4	0.23
Multithreading Test	1.2	1.6	10.0	19.0	5.6	10.3
All Tests	0.55	0.51	6.3	8.4	3.4	4.4

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

On the other hand, OpenJPA with Derby server is slower, for instance, when using JPA element collections with small retrieval size. Comparing the normalized speed of OpenJPA with Derby database server (0.0024) to the normalized speed of DataNucleus with Derby database server (0.36) reveals that in that case, OpenJPA with Derby server is 150 times slower than DataNucleus with Derby server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server
Basic Person Test	37.7	29.2	3.6	5.5	20.7	17.3
Element Collection Test	25.9	2.2	1.4	1.4	13.6	1.8
Inheritance Test	6.5	2.2	1.8	1.0	4.2	1.6
Indexing Test	0.030	2.2	4.9	11.7	2.5	7.0
Multithreading Test	failed	35.5	failed	8.3	failed	21.9
All Tests	17.5	14.3	2.9	5.6	10.2	9.9

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

The results above show that in general DataNucleus with Derby server is slightly more efficient than OpenJPA with Derby server in executing the tested JPA queries.

A huge performance gap has been detected when using JPA element collections with small retrieval size. Comparing the normalized speed of OpenJPA with Derby database server (2.2) to the normalized speed of DataNucleus with Derby database server (25.9) reveals that in that case, DataNucleus with Derby server is 11.8 times faster than OpenJPA with Derby server.

On the other hand, DataNucleus with Derby server is slower, for instance, when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with Derby database server (0.030) to the normalized speed of OpenJPA with Derby database server (2.2) reveals that in that case, DataNucleus with Derby server is 73.3 times slower than OpenJPA with Derby server.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server
Basic Person Test	1.1	1.5	0.85	4.0	0.99	2.8
Element Collection Test	0.81	0.0081	0.62	1.9	0.71	0.94
Inheritance Test	1.2	0.043	1.3	3.8	1.2	1.9
Indexing Test	1.2	1.8	1.5	6.8	1.3	4.3
Graph (Binary Tree) Test	0.29	0.16	0.41	0.27	0.35	0.22
Multithreading Test	failed	6.9	failed	5.0	failed	5.9
All Tests	0.93	1.7	0.92	3.6	0.92	2.7

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

The results above show that in general OpenJPA with Derby server is more efficient than DataNucleus with Derby server in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with Derby database server (0.92) to the normalized speed of OpenJPA with Derby database server (2.7) reveals that in these tests, OpenJPA with Derby server is 2.9 times faster than DataNucleus with Derby server.

A large performance gap has been detected when using simple basic entities with large transaction size. Comparing the normalized speed of DataNucleus with Derby database server (0.85) to the normalized speed of OpenJPA with Derby database server (4.0) reveals that in that case, OpenJPA with Derby server is 4.7 times faster than DataNucleus with Derby server.

On the other hand, OpenJPA with Derby server is slower, for instance, when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with Derby database server (0.0081) to the normalized speed of DataNucleus with Derby database server (0.81) reveals that in that case, OpenJPA with Derby server is 100 times slower than DataNucleus with Derby server.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server
Basic Person Test	1.3	1.4	1.3	3.7	1.3	2.5
Element Collection Test	0.61	0.0082	0.33	1.4	0.47	0.71
Inheritance Test	1.0	0.035	1.3	2.5	1.2	1.3
Indexing Test	2.3	2.3	1.9	3.5	2.1	2.9
Graph (Binary Tree) Test	0.26	0.13	0.46	0.35	0.36	0.24
Multithreading Test	failed	3.6	failed	4.0	failed	3.8
All Tests	1.1	1.3	1.1	2.6	1.1	1.9

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

The results above show that in general OpenJPA with Derby server is more efficient than DataNucleus with Derby server in deleting JPA entity objects from 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 Derby database server (0.33) to the normalized speed of OpenJPA with Derby database server (1.4) reveals that in that case, OpenJPA with Derby server is 4.2 times faster than DataNucleus with Derby server.

On the other hand, OpenJPA with Derby server is slower, for instance, when using JPA element collections with small transaction size. Comparing the normalized speed of OpenJPA with Derby database server (0.0082) to the normalized speed of DataNucleus with Derby database server (0.61) reveals that in that case, OpenJPA with Derby server is 74.4 times slower than DataNucleus with Derby server.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server	DataNucleus Derby server	OpenJPA Derby server
Basic Person Test	8.7	7.2	2.9	5.5	5.8	6.4
Element Collection Test	5.7	0.84	0.72	1.5	3.2	1.2
Inheritance Test	2.4	1.1	2.6	2.9	2.5	2.0
Indexing Test	1.7	2.3	3.9	7.8	2.8	5.1
Graph (Binary Tree) Test	0.35	0.27	2.0	0.41	1.2	0.34
Multithreading Test	3.0	10.7	6.7	8.0	4.9	9.4
All Tests	3.8	3.9	2.8	4.5	3.3	4.2

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

A large performance gap has been detected when using multithreading with small transaction/retrieval size. Comparing the normalized speed of DataNucleus with Derby database server (3.0) to the normalized speed of OpenJPA with Derby database server (10.7) reveals that in that case, OpenJPA with Derby server is 3.6 times faster than DataNucleus with Derby server.

On the other hand, OpenJPA with Derby server is slower, for instance, when using JPA element collections with small transaction/retrieval size. Comparing the normalized speed of OpenJPA with Derby database server (0.84) to the normalized speed of DataNucleus with Derby database server (5.7) reveals that in that case, OpenJPA with Derby server is 6.8 times slower than DataNucleus with Derby server.

Other Head to Head DBMS/JPA Comparisons

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