Comparison of DataNucleus with SQLite embedded vs OpenJPA with PostgreSQL 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 SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server
Basic Person Test		6.0		7.0		6.5
Element Collection Test		6.8		6.7		6.7
Inheritance Test		4.0		7.5		5.7
Indexing Test		7.2		9.3		8.3
Graph (Binary Tree) Test		2.4		2.5		2.5
Multithreading Test		7.6		0.0000		3.8
All Tests		5.7		5.5		5.6

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server
Basic Person Test	0.43	2.1		10.3	0.43	6.2
Element Collection Test		0.40		8.9		4.6
Inheritance Test		2.2		8.2		5.2
Indexing Test		1.6		12.4		7.0
Graph (Binary Tree) Test		0.12		0.18		0.15
Multithreading Test		3.7		6.4		5.0
All Tests	0.43	1.7		7.7	0.43	4.7

The results above show that in general OpenJPA with PostgreSQL server is much more efficient than DataNucleus with SQLite embedded in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.43) to the normalized speed of OpenJPA with PostgreSQL database server (4.7) reveals that in these tests, OpenJPA with PostgreSQL server is 10.9 times faster than DataNucleus with SQLite embedded.

A large performance gap has been detected when using simple basic entities with small retrieval size. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.43) to the normalized speed of OpenJPA with PostgreSQL database server (2.1) reveals that in that case, OpenJPA with PostgreSQL server is 4.9 times faster than DataNucleus with SQLite embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server
Basic Person Test	failed	failed		failed	failed	failed
Element Collection Test		failed		failed		failed
Inheritance Test		failed		failed		failed
Indexing Test		failed		failed		failed
Multithreading Test		failed		failed		failed
All Tests	failed	failed		failed	failed	failed

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server
Basic Person Test	0.025	1.2		3.4	0.025	2.3
Element Collection Test		1.5		3.8		2.6
Inheritance Test		1.2		3.8		2.5
Indexing Test		3.9		4.6		4.3
Graph (Binary Tree) Test		0.45		0.28		0.36
Multithreading Test		0.92		0.34		0.63
All Tests	0.025	1.5		2.7	0.025	2.1

The results above show that in general OpenJPA with PostgreSQL server is much more efficient than DataNucleus with SQLite embedded in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.025) to the normalized speed of OpenJPA with PostgreSQL database server (2.1) reveals that in these tests, OpenJPA with PostgreSQL server is 84.0 times faster than DataNucleus with SQLite embedded.

A huge performance gap has been detected when using simple basic entities with small transaction size. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.025) to the normalized speed of OpenJPA with PostgreSQL database server (1.2) reveals that in that case, OpenJPA with PostgreSQL server is 48.0 times faster than DataNucleus with SQLite embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server
Basic Person Test	0.17	8.2		10.9	0.17	9.6
Element Collection Test		5.4		2.4		3.9
Inheritance Test		8.5		5.7		7.1
Indexing Test		14.1		6.2		10.2
Graph (Binary Tree) Test		4.5		7.5		6.0
Multithreading Test		6.8		0.0000		3.4
All Tests	0.17	7.9		5.5	0.17	6.7

The results above show that in general OpenJPA with PostgreSQL server is much more efficient than DataNucleus with SQLite embedded in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.17) to the normalized speed of OpenJPA with PostgreSQL database server (6.7) reveals that in these tests, OpenJPA with PostgreSQL server is 39.4 times faster than DataNucleus with SQLite embedded.

A huge performance gap has been detected when using simple basic entities with small transaction size. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.17) to the normalized speed of OpenJPA with PostgreSQL database server (8.2) reveals that in that case, OpenJPA with PostgreSQL server is 48.2 times faster than DataNucleus with SQLite embedded.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server	DataNucleus SQLite embedded	OpenJPA PostgreSQL server
Basic Person Test	0.21	4.4		7.9	0.21	6.1
Element Collection Test		3.5		5.4		4.5
Inheritance Test		4.0		6.3		5.1
Indexing Test		6.7		8.1		7.4
Graph (Binary Tree) Test		1.9		2.6		2.3
Multithreading Test		4.8		1.7		3.2
All Tests	0.21	4.2		5.3	0.21	4.8

The results above show that in general OpenJPA with PostgreSQL server is much more efficient than DataNucleus with SQLite embedded in performing JPA database operations. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.21) to the normalized speed of OpenJPA with PostgreSQL database server (4.8) reveals that in these tests, OpenJPA with PostgreSQL server is 22.9 times faster than DataNucleus with SQLite embedded.

A huge performance gap has been detected when using simple basic entities with small transaction/retrieval size. Comparing the normalized speed of DataNucleus with SQLite embedded database (0.21) to the normalized speed of OpenJPA with PostgreSQL database server (4.4) reveals that in that case, OpenJPA with PostgreSQL server is 21.0 times faster than DataNucleus with SQLite embedded.

JPA Performance Benchmark (JPAB)