Comparison of DataNucleus with PostgreSQL server 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
	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded
Basic Person Test	4.1	100	2.6	100	3.3	100
Element Collection Test	0.91	100	0.38	100	0.64	100
Inheritance Test	3.8	100	2.4	100	3.1	100
Indexing Test	6.0	100	6.4	100	6.2	100
Graph (Binary Tree) Test	0.91	88.4	0.77	100	0.84	94.2
Multithreading Test	18.0	100	8.3	100	13.1	100
All Tests	5.6	98.1	3.5	100	4.5	99.0

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with PostgreSQL server in persisting JPA entity objects to the database. Comparing the normalized speed of DataNucleus with PostgreSQL database server (4.5) to the normalized speed of ObjectDB embedded database (99.0) reveals that in these tests, ObjectDB embedded is 22.0 times faster than DataNucleus with PostgreSQL server.

A huge performance gap has been detected when using JPA element collections with large transaction size. Comparing the normalized speed of DataNucleus with PostgreSQL database server (0.38) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 263 times faster than DataNucleus with PostgreSQL server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded
Basic Person Test	1.7	100	7.6	100	4.6	100
Element Collection Test	0.73	100	0.63	100	0.68	100
Inheritance Test	1.5	100	9.3	100	5.4	100
Indexing Test	1.5	100	9.2	100	5.3	100
Graph (Binary Tree) Test	2.6	100	12.3	100	7.4	100
Multithreading Test	3.4	100	10.8	100	7.1	100
All Tests	1.9	100	8.3	100	5.1	100

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with PostgreSQL server in retrieving JPA entity objects from the database. Comparing the normalized speed of DataNucleus with PostgreSQL database server (5.1) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 19.6 times faster than DataNucleus with PostgreSQL server.

A huge performance gap has been detected when using JPA element collections with large retrieval size. Comparing the normalized speed of DataNucleus with PostgreSQL database server (0.63) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 159 times faster than DataNucleus with PostgreSQL server.

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

Retrieval Size =>	Few Entities		Many Entities		Average Score
	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded
Basic Person Test	49.1	100	4.7	100	26.9	100
Element Collection Test	39.1	100	0.48	100	19.8	100
Inheritance Test	55.9	100	6.6	100	31.2	100
Indexing Test	0.048	100	6.4	100	3.2	100
Multithreading Test	failed	100	failed	100	failed	100
All Tests	36.0	100	4.5	100	20.3	100

DataNucleus with PostgreSQL server has failed in 2 tests (see exceptions).

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with PostgreSQL server in executing the tested JPA queries. Comparing the normalized speed of DataNucleus with PostgreSQL database server (20.3) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 4.9 times faster than DataNucleus with PostgreSQL server.

A huge performance gap has been detected when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with PostgreSQL database server (0.048) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 2,083 times faster than DataNucleus with PostgreSQL server.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded
Basic Person Test	2.1	100	0.84	100	1.5	100
Element Collection Test	1.4	100	0.64	100	1.0	100
Inheritance Test	2.1	100	1.2	100	1.7	100
Indexing Test	2.2	100	1.5	100	1.8	100
Graph (Binary Tree) Test	0.65	100	0.20	100	0.42	100
Multithreading Test	0.46	100	failed	100	0.46	100
All Tests	1.5	100	0.87	100	1.2	100

DataNucleus with PostgreSQL server has failed in 1 tests (see exceptions).

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with PostgreSQL server in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with PostgreSQL database server (1.2) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 83.3 times faster than DataNucleus with PostgreSQL server.

A huge performance gap has been detected when using graphs of objects with large transaction size. Comparing the normalized speed of DataNucleus with PostgreSQL database server (0.20) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 500 times faster than DataNucleus with PostgreSQL server.

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

Transaction Size =>	Few Entities		Many Entities		Average Score
	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded
Basic Person Test	3.0	100	1.3	100	2.2	100
Element Collection Test	1.0	100	0.39	100	0.69	100
Inheritance Test	2.8	100	1.3	100	2.1	100
Indexing Test	5.4	100	1.9	100	3.7	100
Graph (Binary Tree) Test	0.38	100	0.37	100	0.37	100
Multithreading Test	13.8	100	failed	100	13.8	100
All Tests	4.4	100	1.1	100	2.9	100

DataNucleus with PostgreSQL server has failed in 1 tests (see exceptions).

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with PostgreSQL server in deleting JPA entity objects from the database. Comparing the normalized speed of DataNucleus with PostgreSQL database server (2.9) to the normalized speed of ObjectDB embedded database (100) reveals that in these tests, ObjectDB embedded is 34.5 times faster than DataNucleus with PostgreSQL server.

A huge performance gap has been detected when using graphs of objects with large transaction size. Comparing the normalized speed of DataNucleus with PostgreSQL database server (0.37) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 270 times faster than DataNucleus with PostgreSQL server.

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

Transaction/Retrieval Size	Few Entities		Many Entities		Average Score
	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded
Basic Person Test	12.0	100	3.4	100	7.7	100
Element Collection Test	8.6	100	0.50	100	4.6	100
Inheritance Test	13.2	100	4.2	100	8.7	100
Indexing Test	3.0	100	5.1	100	4.0	100
Graph (Binary Tree) Test	1.1	97.1	3.4	100	2.3	98.5
Multithreading Test	8.9	100	9.5	100	9.1	100
All Tests	8.0	99.6	3.8	100	6.0	99.8

The results above show that in general ObjectDB embedded is much more efficient than DataNucleus with PostgreSQL server in performing JPA database operations. Comparing the normalized speed of DataNucleus with PostgreSQL database server (6.0) to the normalized speed of ObjectDB embedded database (99.8) reveals that in these tests, ObjectDB embedded is 16.6 times faster than DataNucleus with PostgreSQL server.

A huge performance gap has been detected when using JPA element collections with large transaction/retrieval size. Comparing the normalized speed of DataNucleus with PostgreSQL database server (0.50) to the normalized speed of ObjectDB embedded database (100) reveals that in that case, ObjectDB embedded is 200 times faster than DataNucleus with PostgreSQL server.

JPA Performance Benchmark (JPAB)