Jakarta EE 12: Data Age Dawns with AI & Consistency

Deep Dive: Data, AI, and Jakarta EE

The InfoQ article provides a valuable overview of the upcoming Jakarta EE 12 release, emphasizing its focus on data, consistency, and the integration of AI. The introduction of Jakarta Query, a unified query language, is a significant step towards simplifying data access across different persistence layers (SQL and NoSQL). This standardization has the potential to reduce developer complexity and improve code portability. The inclusion of Jakarta Agentic AI is also noteworthy, demonstrating Jakarta EE's commitment to embracing emerging technologies. However, the article could benefit from more in-depth technical details, particularly regarding the internal workings and performance characteristics of Jakarta Query and the Agentic AI APIs. The lack of concrete examples and performance benchmarks leaves some aspects of the new features somewhat abstract and makes it harder to assess their practical impact. Furthermore, while the article touches upon the development process, it doesn't provide enough information about the challenges and risks associated with these new specifications.

From a technical perspective, the article highlights the move towards polyglot persistence and the support for Java 21/25 baselines. This is a positive development, as it keeps the platform current with the latest Java features and allows developers to leverage modern language constructs. The integration with Jakarta Data, Jakarta Persistence, and Jakarta NoSQL, through the new Jakarta Query language, promises a more cohesive and developer-friendly experience. However, the success of this integration hinges on the careful design and implementation of the Jakarta Query language, ensuring it can handle the complexities of both relational and NoSQL data models efficiently. Concerns include query performance, the richness of the language, and the ease of adoption for developers accustomed to specific database query languages. The article could have also included a comparison with other existing solutions, such as Spring Data or JPA implementations, to highlight the advantages that Jakarta EE 12 offers. Moreover, further exploration of potential performance bottlenecks and design trade-offs would provide deeper insight into the practical implications of these changes.

Finally, while the article mentions the release schedule, it is essential to emphasize the importance of community feedback and the iterative nature of the development process. The success of Jakarta EE 12 will depend on the active participation of the developer community in testing, providing feedback, and contributing to the evolution of these new specifications. The article could have emphasized the importance of community involvement in shaping the future of the platform and ensuring its continued relevance in the rapidly evolving landscape of software development.

Key Points

• Jakarta EE 12 focuses on data, consistency, configuration, and developer productivity.
• Jakarta Query is introduced as a unified language for the persistence layer, integrating JPQL and JDQL.
• Jakarta Data, Jakarta Persistence, and Jakarta NoSQL are updated to integrate with Jakarta Query.
• Jakarta Agentic AI specification is introduced, aiming to standardize AI agent development on Jakarta EE.
• Java 21/25 will be the baseline, with the removal of deprecated features.

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📖 Source: Article: Jakarta EE 12 Milestone 2: Advent of the Data Age Along with Consistency and Configuration