List of Red Hat Data Grid Integrations
This is a list of platforms and tools that integrate with Red Hat Data Grid. This list is updated as of April 2025.
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Red Hat OpenShift
Red Hat
Accelerate innovation with seamless, secure hybrid cloud solutions.Kubernetes lays a strong groundwork for innovative concepts, allowing developers to accelerate their project delivery through a top-tier hybrid cloud and enterprise container platform. Red Hat OpenShift enhances this experience by automating installations, updates, and providing extensive lifecycle management for the entire container environment, which includes the operating system, Kubernetes, cluster services, and applications across various cloud platforms. As a result, teams can work with increased speed, adaptability, reliability, and a multitude of options available to them. By enabling coding in production mode at the developer's preferred location, it encourages a return to impactful work. With a focus on security integrated throughout the container framework and application lifecycle, Red Hat OpenShift delivers strong, long-term enterprise support from a key player in the Kubernetes and open-source arena. It is equipped to manage even the most intensive workloads, such as AI/ML, Java, data analytics, and databases, among others. Additionally, it facilitates deployment and lifecycle management through a diverse range of technology partners, ensuring that operational requirements are effortlessly met. This blend of capabilities cultivates a setting where innovation can flourish without any constraints, empowering teams to push the boundaries of what is possible. In such an environment, the potential for groundbreaking advancements becomes limitless. -
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NoSQL
NoSQL
Empower your data management with flexible, scalable solutions.NoSQL denotes a specific programming paradigm aimed at facilitating interactions with, managing, and modifying non-tabular database systems. This category of database, which is interpreted as "non-SQL" or "non-relational," enables the organization and retrieval of data through structures that contrast with the conventional tabular formats utilized in relational databases. While these types of databases have existed since the late 1960s, the term "NoSQL" gained traction in the early 2000s, emerging in response to the changing requirements of Web 2.0 applications. Their popularity has surged in recent years due to their effectiveness in managing large volumes of data and supporting instantaneous web operations. Often described as Not Only SQL, NoSQL systems emphasize their ability to incorporate SQL-like query languages while functioning alongside SQL databases in combined systems. Many NoSQL solutions favor availability, partition tolerance, and performance over rigid consistency, as outlined by the CAP theorem, which underscores the trade-offs inherent in distributed systems. Despite the benefits they offer, the widespread adoption of NoSQL databases is often limited by the need for low-level query languages that can create obstacles for users. As innovations in data management continue to emerge and evolve, it is anticipated that the significance and application of NoSQL databases will further increase. The future may witness even more sophisticated NoSQL solutions that address current limitations and enhance user experience. -
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Red Hat Runtimes
Red Hat
Empowering developers to build resilient, cloud-native applications effortlessly.Red Hat Runtimes comprises a collection of products, tools, and components specifically designed for the creation and maintenance of cloud-native applications. This suite includes streamlined runtimes and frameworks like Quarkus, which are uniquely crafted for the dynamic environments of cloud architectures such as microservices. Developers and architects are empowered to choose from a wide variety of runtimes, frameworks, and programming languages, allowing them to find the most effective solution for their individual projects. Notably, it supports popular frameworks including Quarkus, Spring Boot, Vert.x, and Node.js, ensuring flexibility and versatility. Additionally, an in-memory distributed data management system is part of this offering, optimized for high scalability and quick access to large datasets. An identity management feature is also included, enabling developers to incorporate web single sign-on capabilities that conform to industry standards for high-level security. Moreover, it integrates a message broker that provides advanced queuing functionalities, message persistence, and robust management options. Further enhancing its capabilities, it features an open-source version of the Java™ platform, standard edition (Java SE), which is continuously supported and updated by the OpenJDK community, guaranteeing that developers are equipped with the latest tools and support. Overall, this extensive ecosystem not only promotes innovation but also enhances efficiency in the development of resilient cloud-native applications, making it an invaluable asset for modern software development.
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