EclipseStore - Ultra-Fast Java Cloud-Native Persistence for Microservices and Serverless
summary
EclipseStore claims to replace ORMs by storing Java object graphs directly into S3 (or files) using the Eclipse serializer, appending binary deltas per change and exposing an atomic store() call so writes are transaction-safe. It lazy-loads subgraphs into JVM memory on demand, runs queries in microseconds, and reports 10–100× JPA speed in demos. The engine supports replication with eventual consistency, background storage garbage collection, Java 11+ runtimes, and integrations for Micronaut, Quarkus and Spring Boot.
AI-written summary · about
chapters (17)
- 0:00EclipseStore intro
- 2:37Persistence in modern apps
- 4:27Traditional DB challenges
- 9:47Microservices DB complexity
- 11:16Cloud storage costs
- 12:44Java performance model
- 14:09System prevalence
- 16:38What EclipseStore is and how it works
- 19:52Replace Hibernate/caches
- 20:15Bookstore performance demo
- 21:46Handling data changes
- 23:17Lazy loading efficiency
- 25:56Distributed applications with EclipseStore
- 27:48Conclusion benefits
- 29:17Trade-offs requirements
- 30:22Release next steps
- 31:11Q&A
related talks
22mEclipseStore – The new, ultra-fast Java persistence for the cloud
56mEclipseStore - Databaseless Java Cloud Native Persistence for Microservices
55mDatabaseless High-Performance Persistence with EclipseStore...
43mThe Java Cloud-Native Stack for Microservices and Serverless Architecture
53mDatabaseless Data Processing - High-Performance for Cloud-Native Apps and AI
01h 00mEclipse MicroStream - Ultra-fast Java cloud-native persistence for microservices
54mEclipse MicroStream - Ultra-Fast Java Cloud-Native Persistence for Microservice
52mGet Started Coding with EclipseStore...