Caching Unleashed: Revolutionizing Java Performance
summary
Claims a persistence engine that serializes Java object graphs directly to files or blob stores, using the Eclipse serializer to enable lazy loading, transactional single-call stores and an indexed in-memory root. Benchmarks show a bookstore demo running with Eclipse Store and core Java queries about 10x faster than a comparable JPA/Hibernate + PostgreSQL stack. Architecture runs in-process (single JVM by default), offers a Kubernetes-backed cluster for replication, and targets use as primary storage, a high-performance cache or search layer; code is open source under EPL and the design reduces DB hosting costs versus managed RDBMS.
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chapters (15)
- 0:00Caching and Java performance
- 2:50Modern DB programming challenges
- 7:08ORM limitations like Hibernate
- 13:12Pure Java high-performance
- 17:28Eclipse Store persistence
- 19:42Live performance demo
- 21:50Eclipse Store internals
- 24:20Concurrency in Eclipse Store
- 26:51Java Streams search/filter
- 29:00Eclipse Store features
- 31:51DB programming paradigm shift
- 33:35Use cases and apps
- 36:29Migration strategies
- 39:19Distributed Java apps
- 40:44Conclusion
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