Red Hat OpenShift Connectors
Pre-built integrations for quick and scalable connectivity from data, services, and systems to Red Hat OpenShift Streams for Apache Kafka.
Build scalable pipelines with Red Hat OpenShift Connectors
Red Hat OpenShift Connectors offers pre-built connectors for Red Hat Cloud Services that deliver quick, scalable, and reliable connectivity across data, services, and systems — including the edge.
Accelerating productivity with pre-built connectivity
OpenShift Connectors help developers improve the speed, scale, and reliability of connectivity across data, services, and systems for use in Red Hat OpenShift Streams for Apache Kafka. With OpenShift Connectors, you don’t need specialized resources or skill sets to maintain, support, and fix connector issues when building integrations to Kafka.
Gain value from all organizational data
OpenShift Connectors allow developers to securely connect to a variety of data sources, making it easy to consume and share streaming data between applications and enterprise systems across your hybrid cloud environment. OpenShift Connectors use Red Hat’s deep experience in open source to offer a wide variety of connectivity supporting multiple standards, ecosystems, and upstream projects, giving you more options for pre-built connectivity.
Click here for a detailed list of available connectors.
Get started deploying your pre-built connectors
Configure and deploy pre-built connectors without using any code using Red Hat OpenShift Connectors. These connectors help establish quick connectivity across your data, services, and systems are delivered as a fully managed service.
Watch Getting started with Red Hat OpenShift Connectors to learn about the wide variety of connectors that support multiple standards, ecosystems, and upstream projects. You can also read this article to learn more.
OpenShift Connector features
Red Hat OpenShift Connectors offer over 60 pre-built connectors delivering connectivity spanning a variety of ecosystems. Users can take advantage of the benefits of a variety of integration environments and quickly expand their connector ecosystem.
Growing number of prebuilt connectors
OpenShift Connectors offers over 60 pre-built source and sink connectors based on the open source community projects Camel K and Debezium. You can securely connect to distributed services, making it easy to consume and share streaming data between applications and enterprise systems, cloud provider services, and SaaS applications.
Streamlined developer experience
Never manually code connectivity to Kafka again. OpenShift Connectors deliver a user-friendly, code-free user interface that provides users the ability to create source and sink connectors, update configurations, and delete connectors quickly.
Capture changes to data as they happen
Teams can take advantage of pre-built connectivity using Debezium for change data capture to easily incorporate existing databases into a data stream and event-driven architecture. Additionally, OpenShift Connectors and Debezium work together to give you a reliable microservices integration for tackling tasks like gradually extracting microservices from existing monoliths.
Delivered as a service
OpenShift Connectors are fully managed and supported by Red Hat. Reduce operational overhead and the complexity of managing connector infrastructure with pre-built connectors backed by Red Hat support.
Connectors for hybrid-cloud deployments
Connecting existing technology stacks and legacy applications to new cloud-native microservices is no longer a complex task. Red Hat OpenShift Connectors, change data capture with Debezium, and Camel K allow IT teams to capture data changes to a database or source without the need to change existing data models.
With change data capture, you can:
- Derive the best value from legacy applications that cannot or will not be modernized.
- Redefine how modern microservice-based applications in the cloud can consume data and events from legacy applications.
- Rely on change data capture to create integrations with cloud-native applications, so you don’t need to extend or enhance legacy applications.
OpenShift Connectors use cases
Integrate data from various sources
OpenShift Connectors allow developers to select the connector of their choice and use OpenShift Streams for Apache Kafka as the streaming platform for moving data from one side to the other. Add new data sources using connectors and put a data pipeline in place in just minutes.
Real-time data streaming
OpenShift Connectors enable streaming data in near real time by connecting to multiple data sources and ingesting vast amounts of information through OpenShift Streams for Apache Kafka. The ingested data can be easily routed to an intelligent application for analysis and insights.
Write code with an event-driven paradigm
OpenShift Connectors can capture changes to data as events, send them to OpenShift Streams for Apache Kafka, and update applications with the latest information. This can reduce database polling delays, and get up-to-date information quickly.