programming

23 Oct 2026

DZone Java Zone

ScyllaDB in Enterprise Java: High-Performance NoSQL With Eclipse JNoSQL

Modern enterprise applications must process increasing data volumes while guaranteeing low latency, high availability, and predictable performance. While relational databases are essential for transactional workloads and complex queries, some applications do not fit the relational model. Systems that manage millions of user engagements, financial events, or IoT data often need a persistence solution built for distributed environments and horizontal scalability. In these cases, ScyllaDB affords a compelling option for enterprise architects.

ScyllaDB is a high-performance, distributed NoSQL database based on the wide-column data model. Inspired by Apache Cassandra and compatible with its query language (CQL), ScyllaDB uses a shard-per-core architecture to maximize hardware efficiency and preserve consistent performance under intensive workloads. When should ScyllaDB be chosen over traditional relational databases or other NoSQL options? This article examines its column-family model, compares it with Cassandra, and shows how to integrate ScyllaDB into a Java enterprise application.

23 Oct 2026 5:00pm GMT

Member Spotlight: Shai Almong

What does it take to build and sustain an open-source project for more than a decade? For Shai Almog, creator of Codename One, it takes a willingness to challenge conventional approaches to software development and a continued commitment to the developers who rely on the work.

I recently caught up with Shai to discuss the inspiration behind Codename One, the realities of maintaining an open-source project, and his perspective on how the Java ecosystem has evolved over the years. Check it out below!

23 Oct 2026 1:30pm GMT

20 Oct 2026

DZone Java Zone

Two Engines, One Query: DuckDB Inside Neo4j

If you've been following the database world lately, you'll have noticed DuckDB turning up in some unexpected places. One of the more interesting examples is pg_duckdb, a Postgres extension that embeds DuckDB directly into the Postgres process, letting analytical queries run through DuckDB's engine without leaving the database. It's a clever idea: keep your data where it is, but bring a faster analytical engine.

That got us wondering: could we do something similar with Neo4j?

20 Oct 2026 5:00pm GMT