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JPA Performance Benchmark (JPAB)

Comparison of DataNucleus with DB4O embedded vs Hibernate 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 DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server
Basic Person Test	0.059	7.1	1.3	3.4	0.69	5.2
Element Collection Test	0.045	2.9	1.0	1.7	0.52	2.3
Inheritance Test	0.051	7.0	0.85	3.6	0.45	5.3
Indexing Test	0.080	9.3	2.3	6.1	1.2	7.7
Graph (Binary Tree) Test	failed	3.0	failed	2.9	failed	2.9
Multithreading Test	failed	31.7	failed	13.9	failed	22.8
All Tests	0.059	10.2	1.4	5.3	0.71	7.7

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

The results above show that in general Hibernate with PostgreSQL server is much more efficient than DataNucleus with DB4O embedded in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.71) to the normalized speed of Hibernate with PostgreSQL database server (7.7) reveals that in these tests, Hibernate with PostgreSQL server is 10.8 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using class inheritance in the object model with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.051) to the normalized speed of Hibernate with PostgreSQL database server (7.0) reveals that in that case, Hibernate with PostgreSQL server is 137 times faster than DataNucleus with DB4O embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server
Basic Person Test	0.0047	5.5	1.8	11.5	0.90	8.5
Element Collection Test	0.0038	0.025	1.5	0.017	0.77	0.021
Inheritance Test	0.0035	5.2	2.2	14.0	1.1	9.6
Indexing Test	0.0043	4.6	1.8	13.3	0.89	8.9
Graph (Binary Tree) Test	failed	0.61	failed	0.78	failed	0.70
Multithreading Test	failed	11.3	failed	17.0	failed	14.2
All Tests	0.0041	4.5	1.8	9.4	0.91	7.0

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

The results above show that in general Hibernate with PostgreSQL server is much more efficient than DataNucleus with DB4O embedded in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.91) to the normalized speed of Hibernate with PostgreSQL database server (7.0) reveals that in these tests, Hibernate with PostgreSQL server is 7.7 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using class inheritance in the object model with small retrieval size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.0035) to the normalized speed of Hibernate with PostgreSQL database server (5.2) reveals that in that case, Hibernate with PostgreSQL server is 1,486 times faster than DataNucleus with DB4O embedded.

On the other hand, Hibernate with PostgreSQL server is slower, for instance, when using JPA element collections with large retrieval size. Comparing the normalized speed of Hibernate with PostgreSQL database server (0.017) to the normalized speed of DataNucleus with DB4O embedded database (1.5) reveals that in that case, Hibernate with PostgreSQL server is 88.2 times slower than DataNucleus with DB4O embedded.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server
Basic Person Test	failed	55.5	failed	6.1	failed	30.8
Element Collection Test	failed	11.0	failed	0.016	failed	5.5
Inheritance Test	failed	52.3	failed	8.7	failed	30.5
Indexing Test	failed	0.050	failed	8.8	failed	4.4
Multithreading Test	failed	55.2	failed	9.2	failed	32.2
All Tests	failed	34.8	failed	6.6	failed	20.7

DataNucleus with DB4O embedded has failed in 10 tests (see exceptions).

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server
Basic Person Test	0.012	5.3	0.76	2.7	0.39	4.0
Element Collection Test	0.012	0.067	1.1	0.026	0.53	0.046
Inheritance Test	0.011	5.4	0.81	3.8	0.41	4.6
Indexing Test	0.011	5.4	1.3	4.3	0.64	4.8
Graph (Binary Tree) Test	failed	1.1	failed	0.58	failed	0.82
Multithreading Test	failed	29.6	failed	6.3	failed	18.0
All Tests	0.012	7.8	0.97	2.9	0.49	5.4

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

The results above show that in general Hibernate with PostgreSQL server is much more efficient than DataNucleus with DB4O embedded in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.49) to the normalized speed of Hibernate with PostgreSQL database server (5.4) reveals that in these tests, Hibernate with PostgreSQL server is 11.0 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using class inheritance in the object model with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.011) to the normalized speed of Hibernate with PostgreSQL database server (5.4) reveals that in that case, Hibernate with PostgreSQL server is 491 times faster than DataNucleus with DB4O embedded.

On the other hand, Hibernate with PostgreSQL server is slower, for instance, when using JPA element collections with large transaction size. Comparing the normalized speed of Hibernate with PostgreSQL database server (0.026) to the normalized speed of DataNucleus with DB4O embedded database (1.1) reveals that in that case, Hibernate with PostgreSQL server is 42.3 times slower than DataNucleus with DB4O embedded.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server
Basic Person Test	0.011	5.3	1.5	4.2	0.74	4.8
Element Collection Test	0.010	0.020	1.6	stopped	0.80	0.0098
Inheritance Test	0.0093	5.1	1.1	4.2	0.57	4.6
Indexing Test	0.017	9.5	2.1	6.3	1.1	7.9
Graph (Binary Tree) Test	failed	0.012	failed	0.012	failed	0.012
Multithreading Test	failed	23.3	failed	21.8	failed	22.5
All Tests	0.012	7.2	1.6	6.1	0.79	6.6

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

The results above show that in general Hibernate with PostgreSQL server is much more efficient than DataNucleus with DB4O embedded in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.79) to the normalized speed of Hibernate with PostgreSQL database server (6.6) reveals that in these tests, Hibernate with PostgreSQL server is 8.4 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using database indexes with small transaction size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.017) to the normalized speed of Hibernate with PostgreSQL database server (9.5) reveals that in that case, Hibernate with PostgreSQL server is 559 times faster than DataNucleus with DB4O embedded.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server	DataNucleus DB4O embedded	Hibernate PostgreSQL server
Basic Person Test	0.022	15.7	1.3	5.6	0.68	10.7
Element Collection Test	0.018	2.8	1.3	0.35	0.66	1.6
Inheritance Test	0.019	15.0	1.2	6.9	0.63	10.9
Indexing Test	0.028	5.8	1.9	7.8	0.94	6.8
Graph (Binary Tree) Test	failed	1.2	failed	1.1	failed	1.1
Multithreading Test	failed	30.2	failed	13.6	failed	21.9
All Tests	0.022	12.1	1.4	6.0	0.73	9.1

The results above show that in general Hibernate with PostgreSQL server is much more efficient than DataNucleus with DB4O embedded in performing JPA database operations. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.73) to the normalized speed of Hibernate with PostgreSQL database server (9.1) reveals that in these tests, Hibernate with PostgreSQL server is 12.5 times faster than DataNucleus with DB4O embedded.

A huge performance gap has been detected when using class inheritance in the object model with small transaction/retrieval size. Comparing the normalized speed of DataNucleus with DB4O embedded database (0.019) to the normalized speed of Hibernate with PostgreSQL database server (15.0) reveals that in that case, Hibernate with PostgreSQL server is 789 times faster than DataNucleus with DB4O embedded.

On the other hand, Hibernate with PostgreSQL server is slower, for instance, when using JPA element collections with large transaction/retrieval size. Comparing the normalized speed of Hibernate with PostgreSQL database server (0.35) to the normalized speed of DataNucleus with DB4O embedded database (1.3) reveals that in that case, Hibernate with PostgreSQL server is 3.7 times slower than DataNucleus with DB4O embedded.

Other Head to Head DBMS/JPA Comparisons

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