<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Database on JAVAPRO International</title><link>https://javapro-en.svenruppert.com/tags/database/</link><description>Recent content in Database on JAVAPRO International</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Mon, 16 Feb 2026 12:19:02 +0000</lastBuildDate><atom:link href="https://javapro-en.svenruppert.com/tags/database/index.xml" rel="self" type="application/rss+xml"/><item><title>EclipseStore 4.0.0 Beta 1: Build Java vector database Apps</title><link>https://javapro-en.svenruppert.com/eclipsestore-4-0-0-beta-1-build-java-vector-database-apps/</link><pubDate>Mon, 16 Feb 2026 12:19:02 +0000</pubDate><guid>https://javapro-en.svenruppert.com/eclipsestore-4-0-0-beta-1-build-java-vector-database-apps/</guid><description>&lt;p&gt;The first beta of &lt;strong&gt;EclipseStore 4.0.0&lt;/strong&gt; is now available, marking a major evolution of the Java-nativ persistence engine. With this version, EclipseStore has integrated the high-performance vector similarity search engine JVector and therefore becomes an embedded Java vector database engine that runs within the same JVM process as your GenAI app. With EclipseStore 4, Java developers can now build powerful GenAI apps with pure Java, without the need to use external vector databases. This makes the entire development process of GenAI apps very convenient and significantly faster, simplifying testing and deployment.&lt;/p&gt;</description></item><item><title>Open J Proxy v0.3.0-beta: The High-Availability, Multinode, Cross-Language Leap Forward</title><link>https://javapro-en.svenruppert.com/open-j-proxy-v0-3-0-beta-the-high-availability-multinode-cross-language-leap-forward/</link><pubDate>Wed, 17 Dec 2025 12:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/open-j-proxy-v0-3-0-beta-the-high-availability-multinode-cross-language-leap-forward/</guid><description>&lt;p&gt;By Rogerio Robetti - OJP Founder and Lead Developer&lt;br&gt;
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&lt;p&gt;&lt;figure class="post-figure"&gt;
 &lt;img src="https://javapro-en.svenruppert.com/uploads/2025/12/ChatGPT-Image-Nov-26-2025-04_16_00-PM-1-1-1024x683.png" alt="" loading="lazy" decoding="async"&gt;
 
 
 
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&lt;/p&gt;
&lt;p&gt;The Open J Proxy (OJP) project has been busy—very busy. How busy? Try &lt;strong&gt;more than a hundred files changed, thousands of lines of code&lt;/strong&gt;, and enough new distributed-systems machinery to make even seasoned architects clutch their coffee mugs in awe. If the previous v0.2.0-beta release was OJP discovering its superpowers, then &lt;strong&gt;v0.3.0-beta is OJP joining the Avengers&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;In this article, we’ll walk through the most important enhancements, explain what they mean for Java developers, and crack a few jokes along the way (strictly at the expense of flaky servers).&lt;/p&gt;</description></item><item><title>Cutting Boilerplate and Complexity: Inside Jakarta Data</title><link>https://javapro-en.svenruppert.com/cutting-boilerplate-and-complexity-inside-jakarta-data/</link><pubDate>Wed, 22 Oct 2025 12:00:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/cutting-boilerplate-and-complexity-inside-jakarta-data/</guid><description>Learn what Jakarta EE11&amp;rsquo;s Jakarta Data specification offers and how it can change enterprise Java software development activities.</description></item><item><title>Vector Embedding in Java Applications: Gen-AI Functions Directly from the Database</title><link>https://javapro-en.svenruppert.com/vector-embedding-in-java-applications-gen-ai-functions-directly-from-the-database/</link><pubDate>Tue, 06 May 2025 11:30:01 +0000</pubDate><guid>https://javapro-en.svenruppert.com/vector-embedding-in-java-applications-gen-ai-functions-directly-from-the-database/</guid><description>&lt;p&gt;Generative AI (GenAI) has rapidly advanced in recent years and is increasingly finding its way into practical software development. What was once considered a research topic is now becoming a tool for everyday developers — including in the Java space. Vector embeddings play a key role here: they enable functions like semantic search, text classification, or recommendation systems, opening up entirely new application possibilities.&lt;/p&gt;
&lt;p&gt;But how can these technologies be integrated into existing Java applications without the need for complex frameworks or external cloud services?&lt;/p&gt;</description></item><item><title>Optimizing Java Performance: Caching with Core Java Instead of Complex Frameworks</title><link>https://javapro-en.svenruppert.com/optimizing-java-performance-caching-with-core-java-instead-of-complex-frameworks/</link><pubDate>Mon, 05 May 2025 07:00:02 +0000</pubDate><guid>https://javapro-en.svenruppert.com/optimizing-java-performance-caching-with-core-java-instead-of-complex-frameworks/</guid><description>&lt;p&gt;Slow Java applications are a well-known problem in many projects: delays caused by ORM, complicated caching structures, and overloaded databases slow down performance. At &lt;a href="https://2025.europe.jcon.one/"&gt;JCON EUROPE 2025&lt;/a&gt;, the two-hour workshop “&lt;a href="https://schedule.jcon.one/?selectedSession=797351"&gt;High-Performance Caching with Pure Java: Supercharge Your Sluggy Database Application&lt;/a&gt;” will show how to specifically solve these problems — exclusively with Core Java, without additional frameworks or cloud services.&lt;/p&gt;
&lt;h2 id="hands-on-caching-and-queries-at-maximum-speed"&gt;Hands-on: Caching and Queries at Maximum Speed&lt;/h2&gt;
&lt;p&gt;Participants will learn how to develop a high-performance caching and query layer themselves — lean, memory-efficient, and directly in Java. The goal is to eliminate typical performance bottlenecks in database-based applications and increase system speed many times over.&lt;/p&gt;</description></item></channel></rss>