Persistence on JAVAPRO International

Petabyte-Scale AI Memory with Serverless Java

Wed, 15 Apr 2026 07:00:01 +0000

The current wave of Generative AI innovation is built on a paradox. While models are becoming more powerful and efficient, the infrastructure required to operate them at scale is becoming increasingly wasteful. Enterprises are investing millions into compute, storage, and energy, yet a significant portion of these resources remains idle. Modern vector databases, graph systems, and caching layers are based on a monolithic architecture run as always-on clusters, consuming CPU and RAM regardless of whether data is actively accessed. Studies and industry analyses consistently show that up to 80% of compute resources in such systems are effectively wasted on idle workloads.

Talk to Your Data: Natural Language Data Access in Java

Fri, 03 Apr 2026 07:00:01 +0000

For decades, Java developers have relied on robust frameworks to manage the complexity of enterprise applications. At the heart of this ecosystem lies Hibernate ORM, the popular library for bridging the gap between object-oriented Java applications and relational databases. It allows developers to map complex domain models to database tables, and write type-safe, performant queries using the Hibernate Query Language (HQL).

Quarkus has emerged as a Java framework for building applications and services, focusing on incredibly fast startup times, efficient resource consumption and developer joy.

Build Vector Database Apps with Pure Java

Thu, 02 Apr 2026 07:00:01 +0000

The Java ecosystem is entering a new phase. Generative AI is no longer experimental; it is becoming a foundational capability in enterprise systems. Yet while frameworks for inference and orchestration have matured, one critical bottleneck continues to slow down adoption: data access for semantic retrieval.

At the heart of modern GenAI systems lies Retrieval-Augmented Generation (RAG). This paradigm depends on fast access to embeddings - high-dimensional vectors that represent meaning. For Java developers, integrating this capability has historically meant introducing an external vector database into the architecture. What appears to be a straightforward design decision quickly becomes a source of complexity, inefficiency, and architectural friction.

Jakarta Data and NoSQL - Standardized Data Access for Jakarta EE

Tue, 03 Mar 2026 07:00:01 +0000

The amount of data collected by applications nowadays is growing rapidly. Many of them need to support both relational SQL and non-relational NoSQL databases. Jakarta Data provides an API to allow easy data access. Developers can split the persistence mechanism and the model using common features like the Repository pattern and seamlessly switch between SQL and NoSQL databases or even use both in the same application.

What are NoSQL Databases?

NoSQL databases, also called “not only SQL”, “non-Relational” or “non-SQL”, are a type of database management system, where storage and querying data are performed differently from traditional ways used in relational databases.

High Speed JPA

Wed, 31 Dec 2025 07:00:02 +0000

JPA sometimes carries the stigma of being “too slow for production.” Yet in countless projects, it has quietly powered reliable enterprise systems at scale. The truth is more nuanced: JPA itself is not the bottleneck — but the way we use it can turn convenience into catastrophe. In this article, we’ll explore why green tests can hide critical performance problems, and how a handful of practical techniques can transform JPA from a suspected culprit into a trusted high-speed partner.