Databases

Databases form the foundation of efficient application development, enabling

Red Hat provides certified operators and solutions for data management, such as

Learn how to connect a .NET 7 application to an external PostgreSQL database to enhance .NET application performance in a modern cloud-native environment.

Learn how to integrate an external PostgreSQL database with a Quarkus microservice deployed on Red Hat OpenShift using this helpful guide.

Explore the basics of using MongoDB and Quarkus to write cloud-native Java applications and extensions that simplify deploying containerized apps on Kubernetes.

Download the MongoDB cheat sheet to learn basic commands for MongoDB, a NoSQL, document-centric database that makes it easy to build scalable web applications.

Service bindings, the kube-service-bindings npm package, and the Red Hat OpenShift UI make it easier to connect securely to a database on Kubernetes.

Learn how to monitor MySQL database changes with Debezium. This tutorial shows you how to view the event streams in Red Hat OpenShift Streams for Apache Kafka.

Discover what's new with Debezium 1.4, such as the Debezium Db2 connector going GA and the developer preview of a new Oracle database connector.

Red Hat open source databases in beta: Adds PostgreSQL 10, MongoDB 3.6; updates MySQL 5.7 - Twice a year, Red Hat distributes new versions of compiler toolsets, scripting languages, open source databases, and/or web tools, etc. so that application developers will have access to the latest, stable versions. These Red Hat supported offerings are packaged as Red Hat Software Collections.

This is a demonstration of Oracle databases being deployed with Red Hat Enterprise Linux using Linux containers. The demo also goes into comparing container deployments to more traditional bare-metal and virtual machine deployment scenario and discusses the benefits. See how Red Hat Enterprise Linux enables your database environments to stay both flexible and current by utilizing Linux container technologies for deploying Oracle 11gR2 on RHEL 6, Oracle 12c on RHEL 6, and Oracle 12c on RHEL 7.

Ranking queries are one of the central topics in the field of Information Retrieval with considerable applications in fields such as analytics. One of the challenges is to provide solutions which can be adapted to distributed data sources, specifically NoSQL distributed column-oriented databases, and comply to "user" real-time constraints, especially when dealing with massive amounts of data. In this talk, we discuss the implementation and challenges for some of the most promising algorithms to address these challenges. We also analyse their scalability and substantial gains in terms of bandwidth and execution time, as indicated by the experimental results."

Learn nine different strategies for integrating data from your monolithic application to a microservice architecture.