Comparison of OpenJPA with Derby embedded vs ObjectDB 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 Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded
Basic Person Test	4.8	100	2.9	100	3.9	100
Element Collection Test	2.8	100	1.9	100	2.4	100
Inheritance Test	4.1	100	2.4	100	3.3	100
Indexing Test	6.1	100	4.1	100	5.1	100
Graph (Binary Tree) Test	1.5	88.4	1.4	100	1.4	94.2
Multithreading Test	8.7	100	3.3	100	6.0	100
All Tests	4.7	98.1	2.7	100	3.7	99.0

The results above show that in general ObjectDB embedded is much more efficient than OpenJPA with Derby embedded in persisting JPA entity objects to the database. Comparing the normalized speed of OpenJPA with Derby embedded database (3.7) to the normalized speed of ObjectDB embedded database (99.0) reveals that in these tests, ObjectDB embedded is 26.8 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected when using graphs of objects with large transaction size. Comparing the normalized speed of OpenJPA with Derby embedded database (1.4) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 71.4 times faster than OpenJPA with Derby embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded
Basic Person Test	14.8	100	22.6	100	18.7	100
Element Collection Test	0.0031	100	2.3	100	1.2	100
Inheritance Test	0.015	100	7.0	100	3.5	100
Indexing Test	11.7	100	26.5	100	19.1	100
Graph (Binary Tree) Test	0.93	100	1.2	100	1.1	100
Multithreading Test	25.2	100	28.6	100	26.9	100
All Tests	8.8	100	14.7	100	11.7	100

The results above show that in general ObjectDB embedded is much more efficient than OpenJPA with Derby embedded in retrieving JPA entity objects from the database. Comparing the normalized speed of OpenJPA with Derby embedded database (11.7) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 8.5 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected 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 ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 32,258 times faster than OpenJPA with Derby embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded
Basic Person Test	49.7	100	9.9	100	29.8	100
Element Collection Test	2.7	100	9.6	100	6.1	100
Inheritance Test	2.3	100	1.3	100	1.8	100
Indexing Test	7.0	100	17.1	100	12.1	100
Multithreading Test	40.9	100	11.7	100	26.3	100
All Tests	20.5	100	9.9	100	15.2	100

The results above show that in general ObjectDB embedded is much more efficient than OpenJPA with Derby embedded in executing the tested JPA queries. Comparing the normalized speed of OpenJPA with Derby embedded database (15.2) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 6.6 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected when using class inheritance in the object model with large retrieval size. Comparing the normalized speed of OpenJPA with Derby embedded database (1.3) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 76.9 times faster than OpenJPA with Derby embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded
Basic Person Test	5.6	100	5.2	100	5.4	100
Element Collection Test	0.0090	100	2.2	100	1.1	100
Inheritance Test	0.045	100	4.6	100	2.3	100
Indexing Test	6.1	100	8.7	100	7.4	100
Graph (Binary Tree) Test	1.6	100	0.91	100	1.3	100
Multithreading Test	18.3	100	4.5	100	11.4	100
All Tests	5.3	100	4.4	100	4.8	100

The results above show that in general ObjectDB embedded is much more efficient than OpenJPA with Derby embedded in updating JPA entity objects in the database. Comparing the normalized speed of OpenJPA with Derby embedded database (4.8) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 20.8 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected 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 ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 11,111 times faster than OpenJPA with Derby embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded
Basic Person Test	4.2	100	4.5	100	4.3	100
Element Collection Test	0.0071	100	1.6	100	0.80	100
Inheritance Test	0.035	100	3.0	100	1.5	100
Indexing Test	5.3	100	3.6	100	4.4	100
Graph (Binary Tree) Test	0.80	100	0.93	100	0.86	100
Multithreading Test	5.7	100	6.2	100	6.0	100
All Tests	2.7	100	3.3	100	3.0	100

The results above show that in general ObjectDB embedded is much more efficient than OpenJPA with Derby embedded in deleting JPA entity objects from the database. Comparing the normalized speed of OpenJPA with Derby embedded database (3.0) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 33.3 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected 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 ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 14,085 times faster than OpenJPA with Derby embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded
Basic Person Test	52.8	100	52.8	100	52.8	100
Element Collection Test	42.4	100	42.4	100	42.4	100
Inheritance Test	44.2	100	44.2	100	44.2	100
Indexing Test	53.1	100	54.0	100	53.5	100
Graph (Binary Tree) Test	12.8	100	9.6	100	11.2	100
Multithreading Test	50.7	91.1	9.7	22.0	30.2	56.6
All Tests	42.7	98.5	35.5	87.0	39.1	92.8

The results above show that in general ObjectDB embedded is more efficient than OpenJPA with Derby embedded in using disk space. Comparing the normalized score of OpenJPA with Derby embedded database (39.1) to the normalized score of ObjectDB embedded database (92.8) reveals that in these tests, ObjectDB embedded is 2.4 times more efficient than OpenJPA with Derby embedded.

A huge gap has been detected when using graphs of objects with large transaction size. Comparing the normalized score of OpenJPA with Derby embedded database (9.6) to the normalized score of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 10.4 times more efficient than OpenJPA with Derby embedded.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded	OpenJPA Derby embedded	ObjectDB embedded
Basic Person Test	15.8	100	9.0	100	12.4	100
Element Collection Test	1.1	100	3.5	100	2.3	100
Inheritance Test	1.3	100	3.7	100	2.5	100
Indexing Test	7.2	100	12.0	100	9.6	100
Graph (Binary Tree) Test	1.2	97.1	1.1	100	1.2	98.5
Multithreading Test	19.8	100	10.9	100	15.3	100
All Tests	8.0	99.6	6.9	100	7.4	99.8

The results above show that in general ObjectDB embedded is much more efficient than OpenJPA with Derby embedded in performing JPA database operations. Comparing the normalized speed of OpenJPA with Derby embedded database (7.4) to the normalized speed of ObjectDB embedded database (99.8) reveals that in these tests, ObjectDB embedded is 13.5 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected when using JPA element collections with small transaction/retrieval size. Comparing the normalized speed of OpenJPA with Derby embedded database (1.1) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 90.9 times faster than OpenJPA with Derby embedded.

JPA Performance Benchmark (JPAB)