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

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

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
	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server	ObjectDB embedded	DataNucleus PostgreSQL server
Basic Person Test	100	49.1	100	4.7	100	26.9
Element Collection Test	100	39.1	100	0.48	100	19.8
Inheritance Test	100	55.9	100	6.6	100	31.2
Indexing Test	100	0.048	100	6.4	100	3.2
Multithreading Test	100	failed	100	failed	100	failed
All Tests	100	36.0	100	4.5	100	20.3

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

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

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

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)