Batoo JPA
| Company type | Open source software |
|---|---|
| Industry | Software, Java development |
| Founded | October 2012 |
| Founder | Hasan Ceylan |
| Products | Java Persistence API implementation |
| Website | batoo |
Batoo JPA represents an implementation of the Java Persistence API standards 1.0 and 2.0, specifically engineered to minimize the heavy CPU consumption commonly associated with other JPA solutions. This optimization is intended to lower operational expenses and support the efficient execution of Java applications across extensive, mobile, and embedded environments.
Background
Hasan Ceylan, the creator of Batoo JPA, developed the framework in response to performance challenges encountered in large-scale telecom and social networking initiatives. He identified that popular JPA frameworks such as Hibernate, while enabling rapid application development, contribute considerable performance overhead, thereby escalating production costs even on advanced hardware platforms. Given the extensive adoption of JPA within the Java community, Ceylan designed a prototype that achieved a 50-fold reduction in costs at the persistence layer. The primary development phase was completed by August 2012, with the official release following in October 2012.
License
Batoo JPA is available as an open source project under the terms of the LGPL license.
Benchmark
The objective of Batoo JPA is to provide a streamlined, reliable, and high-performance JPA implementation. A specialized benchmarking initiative evaluates Batoo JPA against other implementations after each iteration of development. Early benchmark results demonstrated that Batoo JPA significantly surpassed leading competitors in performance:
- Persist operations: 13.97 times faster
- Find operations: 16.76 times faster
- Remove operations: 22.48 times faster
- Update operations: 16.77 times faster
- Criteria API queries: 19.83 times faster
- JPQL queries: 16.77 times faster
However, these findings have been critiqued for concentrating mainly on CPU utilization within the application server, whereas actual performance constraints frequently arise from the database server side.