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Comparison of DataNucleus with SQLite embedded 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
	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded
Basic Person Test		0.39		3.4		1.9
Element Collection Test		0.52		2.7		1.6
Inheritance Test		0.25		3.9		2.1
Indexing Test		0.56		3.6		2.1
Graph (Binary Tree) Test		failed		failed		failed
Multithreading Test		failed		failed		failed
All Tests		0.43		3.4		1.9

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

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded
Basic Person Test	0.43	0.28		4.1	0.43	2.2
Element Collection Test		0.39		3.4		1.9
Inheritance Test		0.44		3.6		2.0
Indexing Test		0.30		5.0		2.7
Graph (Binary Tree) Test		failed		failed		failed
Multithreading Test		failed		failed		failed
All Tests	0.43	0.35		4.0	0.43	2.2

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

The results above show that in general DataNucleus with DB4O embedded 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 DataNucleus with DB4O embedded database (2.2) reveals that in these tests, DataNucleus with DB4O embedded is 5.1 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	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded
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	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded
Basic Person Test	0.025	0.046		0.36	0.025	0.21
Element Collection Test		0.094		0.37		0.23
Inheritance Test		0.040		0.56		0.30
Indexing Test		0.13		0.56		0.35
Graph (Binary Tree) Test		failed		failed		failed
Multithreading Test		failed		failed		failed
All Tests	0.025	0.077		0.46	0.025	0.27

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

The results above show that in general DataNucleus with DB4O embedded 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 DataNucleus with DB4O embedded database (0.27) reveals that in these tests, DataNucleus with DB4O embedded is 10.8 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	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded
Basic Person Test	0.17	0.25		2.8	0.17	1.5
Element Collection Test		0.34		0.73		0.54
Inheritance Test		0.25		1.8		1.0
Indexing Test		0.44		1.7		1.0
Graph (Binary Tree) Test		failed		failed		failed
Multithreading Test		failed		failed		failed
All Tests	0.17	0.32		1.7	0.17	1.0

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

The results above show that in general DataNucleus with DB4O embedded 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 DataNucleus with DB4O embedded database (1.0) reveals that in these tests, DataNucleus with DB4O embedded is 5.9 times faster than DataNucleus with SQLite embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded
Basic Person Test		51.7		54.0		52.8
Element Collection Test		46.0		49.1		47.6
Inheritance Test		53.3		58.7		56.0
Indexing Test		55.7		57.9		56.8
Graph (Binary Tree) Test		failed		failed		failed
Multithreading Test		failed		failed		failed
All Tests		51.7		54.9		53.3

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

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded	DataNucleus SQLite embedded	DataNucleus DB4O embedded
Basic Person Test	0.21	0.24		2.7	0.21	1.4
Element Collection Test		0.34		1.8		1.1
Inheritance Test		0.24		2.5		1.4
Indexing Test		0.36		2.7		1.5
Graph (Binary Tree) Test		failed		failed		failed
Multithreading Test		failed		failed		failed
All Tests	0.21	0.29		2.4	0.21	1.4

The results above show that in general DataNucleus with DB4O embedded 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 DataNucleus with DB4O embedded database (1.4) reveals that in these tests, DataNucleus with DB4O embedded is 6.7 times faster than DataNucleus with SQLite embedded.

Other Head to Head DBMS/JPA Comparisons

DataNucleus with SQLite embedded against:

DataNucleus with DB4O embedded against: