One Database, Two Models: Building AI-Friendly Java Applications with MySQL JSON Duality Views
Explore MySQL JSON Duality Views in Java: simpler reads, safe document writes, ORM comparisons, and read-only tools for a local AI …
Databases
How I Built an AI Assistant for My Career with Java, Spring AI, and MongoDB
How one developer built a personal AI assistant in Java using Spring AI, MongoDB Vector Search, conversation memory, and tool calling with …
Aggregation Optimization in MongoDB: Sorting With Indexes (Part 5)
Part 5 of our aggregation optimization series: swapping an explicit $sort for an index-backed sort cut MongoDB query time from 51ms to 14ms
NetBeans DataWrangler: Query, Convert, and Edit Data Analytics Files
Apache NetBeans DataWrangler brings the file formats of data analytics into Apache NetBeans 31: CSV, Apache Parquet, JSON and Excel, the …
DuckDB in Spring Batch: Replace In-Memory Java Loops with One SQL Statement
Spring Batch jobs usually follow the same pattern: an ItemReader streams rows, an ItemProcessor transforms each one, and an ItemWriter …
Embedding DuckDB in a Maven App (and Using It for Things That Aren't Databases)
DuckDB is described as "SQLite for analytics," which is true: it's an in-process database engine that runs inside your application, with no …
Getting Started with Exposed: Kotlin ORM Made Simple
Learn how to use Exposed, a lightweight SQL ORM for Kotlin. Discover DSL and DAO APIs, database support, and setup your first project.
Aggregation Optimization in MongoDB: Unnecessary Unwinds (Part 2)
And why MongoDB might be a better relational database than you ever realized. Design reviews are one-on-one meetings where MongoDB experts …
BoxLang 1.14.0: Query Transformers - Take Full Control of Your Query Results
BoxLang 1.14.0 ships a lot of exciting features - Dynamic Sets, Ranges, Inner Classes, JSONPath navigation - but one quietly powerful …
Building an AI-Powered Operations Assistant with Spring AI and MongoDB Atlas — Part 2: Conversational Memory
This is the second article in a three-part series. Part 1 covered the RAG foundation — loading runbooks into a vector store and wiring them …