The all-in-one Kafka platform for enterprises
Use the full potential of data streaming with Axual's platform based on open-source Apache Kafka, designed to streamline your data management and minimize business complexity.
A selection of features for seamlessly managing and leveraging Apache Kafka
Axual comes packed with features to enable the enterprise-wide adoption of Apache Kafka.
Axual Self-Service simplifies Kafka interface management with an intuitive WYSIWYG interface, eliminating the command-line interface (CLI) complexity for a user-friendly experience.
Limit your search using keywords, environment, and timeframe. Axual offers support to define custom environments to test-drive applications and promote them from development to production. Topic Browse & Search is aligned with this feature, which means that you can search for a topic’s messages in any environment, provided you are authorized to do so.
The Terraform provider with GitOps support allows you to define topic and application configurations in Git repositories for seamless deployment to Axual. It enables managing the streaming topology as code, ensuring version control and traceability of interface definitions.
Axual's graphical data flow feature offers a visual interface for creating, managing, and monitoring real-time data pipelines. Users can use drag-and-drop components to represent data sources, processors, and sinks, making it easy to create and modify data flows. The tool also allows for real-time performance monitoring and ensures data governance and security. This simplifies data management, improves real-time insights, and promotes collaboration across teams, benefiting your organization.
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Empower your team with the right Kafka Software. Unlock insights and drive decisions with our event streaming platform for real time data processing.
“We were at a crossroads, with legacy technology preventing a solid digital transformation, and an ambitious strategy for customer centricity underlining requirements for becoming data-driven. We really needed the Axual platform to allow us to make the leap.”
"Data governance is critical at Rabobank. With Axual, we’re able to see who has permission, who owns the data, or if the owner has given permission and what the structure of the messages are.”
Axual has a clear focus on making Kafka usuable as a self-service platform. It enables teams to do their own thing in a controlled way. At the same time they provide a manageable platform on the infra side so that we can run it on-prem.
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Discover articles about Apache Kafka, Event Streaming, Real Time Data Processing, Apache Kafka Use Cases, and Strimzi for Kafka that inform, inspire, and give you the latest insights.
Read all Kafka blogs
Apache Kafka is a powerful platform for handling real-time data streaming, often used in systems that follow the Publish-Subscribe (Pub-Sub) model. In Pub-Sub, producers send messages (data) that consumers receive, enabling asynchronous communication between services. Kafka’s Pub-Sub model is designed for high throughput, reliability, and scalability, making it a preferred choice for applications needing to process massive volumes of data efficiently. Central to this functionality are topics and partitions—essential elements that organize and distribute messages across Kafka. But what exactly are topics and partitions, and why are they so important?
Strimzi Kafka offers an efficient solution for deploying and managing Apache Kafka on Kubernetes, making it easier to handle Kafka clusters within a Kubernetes environment. In this article, we'll guide you through opening a shell on a Kafka broker pod in Kubernetes and listing all the topics in your Kafka cluster using an SSL-based connection.
Kafka Operators for Kubernetes makes deploying and managing Kafka clusters simpler and more reliable. In this blog, we will do a deep dive into what a Kafka operator is and why you should use a Kafka operator.