datanucleus vs hibernate

Comparing the normalized speed of DataNucleus with Derby database server (0.26) to the normalized speed of Hibernate with MySQL database server (0.55) reveals that in that case, Hibernate with MySQL server is 2.1 times faster than DataNucleus with Derby server. Each of the following tables focuses on a specific database operation, where the last table presents average results comparison. Hibernate itself provides an implementation of the No mention of Hibernate vs. Cayenne (but I know I have read articles on this). t với các công nghệ trước đó (nhÆ° JDBC) là sá»± không phù hợp trở kháng (sá»± khác biệt giữa các công nghệ hướng đối … The results above show that in general Hibernate with MySQL server is more efficient than DataNucleus with Derby server in retrieving JPA entity objects from the database. Version 2.x of the DataNucleus plugin is … Đã khá lâu rồi DataNucleus 'triển khai tiêu chuẩn duy trì JPA bên cạnh tiêu chuẩn kiên trì JDO, do đó, việc chuyển các dá»± án JPA hiện tại từ Hibernate sang DataNucleus sẽ rất đơn giản và bạn có thể nhận được tất cả các lợi ích There are many leading products supporting JPA (TopLink/EclipseLink, Hibernate, OpenJPA, DataNucleus), but few to none supporting JDO or CMP. The results above show that in general DataNucleus with H2 embedded is much more efficient than Hibernate with MySQL server in persisting JPA entity objects to the database. A huge performance gap has been detected when using The results above show that in general DataNucleus with H2 embedded is much more efficient than Hibernate with MySQL server in updating JPA entity objects in the database. Comparing the normalized speed of DataNucleus with MySQL database server (0.96) to the normalized speed of Hibernate with MySQL database server (3.0) reveals that in that case, Hibernate with MySQL server is 3.1 times faster than DataNucleus with MySQL server. A huge performance gap has been detected when using JPA element collections with small transaction size. The newest JPA version (JPA 2.0) is fully supported by Hibernate 3.5, which was released in March, 2010. JPA Performance Benchmark - Copyright © 2010, 2011, 2012 ObjectDB Software Ltd. - All rights reserved.The benchmark program is released as open source under the GPL license. A large performance gap has been detected when using JPA element collections with small retrieval size. Comparing the normalized speed of Hibernate with MySQL database server (0.39) to the normalized speed of DataNucleus with Derby database server (0.81) reveals that in that case, Hibernate with MySQL server is 2.1 times slower than DataNucleus with Derby server. Comparing the normalized speed of Hibernate with MySQL database server (0.39) to the normalized speed of DataNucleus with H2 embedded database (7.6) reveals that in that case, DataNucleus with H2 embedded is 19.5 times faster than Hibernate with MySQL server. As you can see, Hibernate outperforms DataNucleus in every test case. If by "Hibernate annotations" you mean "org.hibernate.annotations. A large performance gap has been detected when using graphs of objects with small transaction size. On the other hand, Hibernate with MySQL server is slower, for instance, when using JPA element collections with large retrieval size. DataNucleus with Derby server has failed in 2 tests (see exceptions). t với các công nghệ trước đó (nhÆ° JDBC) là sá»± không phù hợp trở kháng (sá»± khác biệt giữa các công nghệ hướng đối … However, Hibernate was also the JPA implementation that executed the lowest number of queries, although the differences in this value (3080 for Hibernate vs 3740 for Toplink Essentials) are not so extreme as for the number of Comparing the normalized speed of DataNucleus with Derby database server (0.29) to the normalized speed of Hibernate with MySQL database server (0.69) reveals that in that case, Hibernate with MySQL server is 2.4 times faster than DataNucleus with Derby server. For quite some time now DataNucleus’ implements the JPA persistence standard in addition to the JDO persistence standard so porting existing JPA projects from Hibernate to DataNucleus should be very straight forward and you can get all of the above mentioned benefits of DataNucleus with very little code change, if any. Comparing the normalized speed of Hibernate with MySQL database server (0.21) to the normalized speed of DataNucleus with Derby database server (0.61) reveals that in that case, Hibernate with MySQL server is 2.9 times slower than DataNucleus with Derby server. The results above show that in general Hibernate with MySQL server is more efficient than DataNucleus with Derby server in updating JPA entity objects in the database. JPA Performance Benchmark - Copyright © 2010, 2011, 2012 ObjectDB Software Ltd. - All rights reserved.The benchmark program is released as open source under the GPL license. Comparing the normalized speed of Hibernate with MySQL database server (2.7) to the normalized speed of DataNucleus with H2 embedded database (7.8) reveals that in these tests, DataNucleus with H2 embedded is 2.9 times faster than Hibernate with MySQL server. Comparing the normalized speed of Hibernate with MySQL database server (0.21) to the normalized speed of DataNucleus with H2 embedded database (4.9) reveals that in that case, DataNucleus with H2 embedded is 23.3 times faster than Hibernate with MySQL server. I am using Datanucleus as the JPA engine to perform CRUD on an entity in Force.com DB. On the other hand, Hibernate with MySQL server is slower, for instance, when using JPA element collections with small transaction size. See: The annotation @Index is Comparing the normalized speed of DataNucleus with H2 embedded database (0.0041) to the normalized speed of Hibernate with MySQL database server (0.44) reveals that in that case, Hibernate with MySQL server is 107 times faster than DataNucleus with H2 embedded. So, it seems JPA has done a good job of replacing both. Comparing the normalized speed of Hibernate with MySQL database server (0.73) to the normalized speed of DataNucleus with H2 embedded database (8.7) reveals that in that case, DataNucleus with H2 embedded is 11.9 times faster than Hibernate with MySQL server. It's a short list. Comparing the normalized speed of Hibernate with MySQL database server (1.5) to the normalized speed of DataNucleus with H2 embedded database (9.2) reveals that in that case, DataNucleus with H2 embedded is 6.1 times faster than Hibernate with MySQL server. On the other hand, Hibernate with MySQL server is slower, for instance, when using JPA element collections with small transaction size. In fact, it's much shorter than the corresponding list of JAR files you'd need to link to if you were using another JPA provider such as Hibernate. Comparing the normalized speed of Hibernate with SQLite embedded database (0.53) to the normalized speed of DataNucleus with HSQLDB embedded database (11.7) reveals that in these tests, DataNucleus with HSQLDB embedded is 22.1 times faster than Hibernate with SQLite embedded. Click to browse the complete benchmark results. JPA vs Hibernate Szinte minden vállalati alkalmazásnak szüksége van a relációs adatbázisok rendszeres elérésére. De a korábbi technológiákkal (például a JDBC-vel) szembesült probléma az impedancia eltérés (az objektum-orientált és a … On the other hand, DataNucleus with Derby server is slower, for instance, when using database indexes with small retrieval size. Comparing the normalized speed of Hibernate with MySQL database server (6.7) to the normalized speed of DataNucleus with Derby database server (25.9) reveals that in that case, DataNucleus with Derby server is 3.9 times faster than Hibernate with MySQL server. A large performance gap has been detected when using JPA element collections with small transaction/retrieval size. い間、DataNucleusはJDO永続性標準に加えてJPA永続性標準を実装しているため、HibernateからDataNucleusへの既存のJPAプロジェクトの移植は非常に簡単で、コード変更をほとんど行わなくても、DataNucleusの上記の利点を A huge performance gap has been detected when using multithreading with small retrieval size. Comparing the normalized speed of Hibernate with MySQL database server (2.9) to the normalized speed of DataNucleus with Derby database server (10.2) reveals that in these tests, DataNucleus with Derby server is 3.5 times faster than Hibernate with MySQL server. A huge performance gap has been detected when using database indexes with small retrieval size. Comparing the normalized speed of DataNucleus with Derby database server (0.030) to the normalized speed of Hibernate with MySQL database server (0.44) reveals that in that case, DataNucleus with Derby server is 14.7 times slower than Hibernate with MySQL server. Comparing the normalized speed of Hibernate with MySQL database server (1.2) to the normalized speed of DataNucleus with H2 embedded database (3.6) reveals that in these tests, DataNucleus with H2 embedded is 3.0 times faster than Hibernate with MySQL server. The results above show that in general DataNucleus with H2 embedded is more efficient than Hibernate with MySQL server in performing JPA database operations. A huge performance gap has been detected when using graphs of objects with large transaction/retrieval size. It can be Especially in the retrieval by ID (Find) scenario Hibernate is almost 9 times faster than DataNucleus! DataNucleus with H2 embedded has failed in 2 tests (see exceptions). Comparing the normalized speed of DataNucleus with Derby database server (0.62) to the normalized speed of Hibernate with MySQL database server (1.5) reveals that in that case, Hibernate with MySQL server is 2.4 times faster than DataNucleus with Derby server. Each of the following tables focuses on a specific database operation, where the last table presents average results comparison. test batch_size operation batoo* datanucleus eclipselink hibernate BasicTest small_batch Persist 38424,04334 8612,208595 22088,69665 6701,578987 BasicTest small_batch Retrieve 65181,89467 13792,25847 43390,35914 12307,44994

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