Databaseless Data Processing - High-Performance for Cloud-Native Apps and AI | Markus Kett (EN)
Hibernate is the de facto standard persistence for traditional Java database apps. It was built when Java apps and database systems monoliths. It's often painful, the performance is not great, but we got used to it. The cloud, microservices and serverless have changed Java dramatically, but persistence is still the same. Now AI is making its way into Java and AI requires uncompromising performance.
EclipseStore was built to be the Java persistence for modern cloud-native systems and AI. It follows the system prevalence architectural pattern and enables databaseless in-memory data processing by using Core Java features. Different to traditional databases, EclipseStore supports the real Java object model instead of any database-specific data structure or format. The engine enables seamlessly mirroring any Java object graph of any size and complexity transaction-safe into any object storage such as AWS S3. This leads to 3 main benefits:
highest performance, microsecond response and query time, up to 1000x faster than comparable JPA queries, type-safe and good testable query code,
96% cloud database cost savings, because object storage is up to 96% cheaper than any database in the cloud.
Radically simplicity, only one data model (just POJOs), any Java types are supported, no expensive mappings or data conversion, simple class evolution handling and data migration, simple architecture.
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