Comparison of ObjectDB server vs OpenJPA with Derby 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
	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded
Basic Person Test	35.2	4.8	74.1	2.9	54.7	3.9
Element Collection Test	38.2	2.8	57.8	1.9	48.0	2.4
Inheritance Test	32.7	4.1	72.8	2.4	52.7	3.3
Indexing Test	49.9	6.1	90.1	4.1	70.0	5.1
Graph (Binary Tree) Test	100	1.5	89.2	1.4	94.6	1.4
Multithreading Test	76.6	8.7	99.4	3.3	88.0	6.0
All Tests	55.4	4.7	80.6	2.7	68.0	3.7

The results above show that in general ObjectDB server 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 database server (68.0) reveals that in these tests, ObjectDB server is 18.4 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected when using graphs of objects with small transaction size. Comparing the normalized speed of OpenJPA with Derby embedded database (1.5) to the normalized speed of ObjectDB database server (100) reveals that in that case, ObjectDB server is 66.7 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
	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded
Basic Person Test	15.7	14.8	45.4	22.6	30.5	18.7
Element Collection Test	19.9	0.0031	49.2	2.3	34.6	1.2
Inheritance Test	13.2	0.015	49.4	7.0	31.3	3.5
Indexing Test	14.0	11.7	59.5	26.5	36.8	19.1
Graph (Binary Tree) Test	19.9	0.93	24.7	1.2	22.3	1.1
Multithreading Test	19.7	25.2	60.2	28.6	40.0	26.9
All Tests	17.1	8.8	48.1	14.7	32.6	11.7

The results above show that in general ObjectDB server is 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 database server (32.6) reveals that in these tests, ObjectDB server is 2.8 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 database server (19.9) reveals that in that case, ObjectDB server is 6,419 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
	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded
Basic Person Test	38.8	49.7	25.9	9.9	32.4	29.8
Element Collection Test	39.5	2.7	33.1	9.6	36.3	6.1
Inheritance Test	34.8	2.3	34.0	1.3	34.4	1.8
Indexing Test	14.5	7.0	53.3	17.1	33.9	12.1
Multithreading Test	50.8	40.9	52.1	11.7	51.5	26.3
All Tests	35.7	20.5	39.7	9.9	37.7	15.2

The results above show that in general ObjectDB server is 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 database server (37.7) reveals that in these tests, ObjectDB server is 2.5 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 database server (34.0) reveals that in that case, ObjectDB server is 26.2 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
	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded
Basic Person Test	18.3	5.6	40.9	5.2	29.6	5.4
Element Collection Test	21.1	0.0090	53.7	2.2	37.4	1.1
Inheritance Test	19.9	0.045	51.9	4.6	35.9	2.3
Indexing Test	17.9	6.1	52.1	8.7	35.0	7.4
Graph (Binary Tree) Test	42.6	1.6	24.1	0.91	33.3	1.3
Multithreading Test	68.6	18.3	68.7	4.5	68.6	11.4
All Tests	31.4	5.3	48.6	4.4	40.0	4.8

The results above show that in general ObjectDB server 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 database server (40.0) reveals that in these tests, ObjectDB server is 8.3 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 (0.0090) to the normalized speed of ObjectDB database server (21.1) reveals that in that case, ObjectDB server is 2,344 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
	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded
Basic Person Test	20.2	4.2	67.7	4.5	44.0	4.3
Element Collection Test	22.9	0.0071	57.6	1.6	40.2	0.80
Inheritance Test	23.1	0.035	61.6	3.0	42.3	1.5
Indexing Test	34.9	5.3	55.9	3.6	45.4	4.4
Graph (Binary Tree) Test	19.3	0.80	27.9	0.93	23.6	0.86
Multithreading Test	38.5	5.7	50.5	6.2	44.5	6.0
All Tests	26.5	2.7	53.5	3.3	40.0	3.0

The results above show that in general ObjectDB server 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 database server (40.0) reveals that in these tests, ObjectDB server is 13.3 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 database server (22.9) reveals that in that case, ObjectDB server is 3,225 times faster 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
	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded	ObjectDB server	OpenJPA Derby embedded
Basic Person Test	25.6	15.8	50.8	9.0	38.2	12.4
Element Collection Test	28.3	1.1	50.3	3.5	39.3	2.3
Inheritance Test	24.7	1.3	53.9	3.7	39.3	2.5
Indexing Test	26.2	7.2	62.2	12.0	44.2	9.6
Graph (Binary Tree) Test	45.4	1.2	41.5	1.1	43.5	1.2
Multithreading Test	50.8	19.8	66.2	10.9	58.5	15.3
All Tests	33.1	8.0	54.6	6.9	43.9	7.4

The results above show that in general ObjectDB server 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 database server (43.9) reveals that in these tests, ObjectDB server is 5.9 times faster than OpenJPA with Derby embedded.

A huge performance gap has been detected when using graphs of objects with small transaction/retrieval size. Comparing the normalized speed of OpenJPA with Derby embedded database (1.2) to the normalized speed of ObjectDB database server (45.4) reveals that in that case, ObjectDB server is 37.8 times faster than OpenJPA with Derby embedded.

JPA Performance Benchmark (JPAB)